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ORCIDAMIA 2022: Washington, DC, USA
- AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022. AMIA 2022
AI Showcase Poster
- Cameron Carlin, Jesee Castro, Monica Munaretto, Jossie Sandoval, Sanjeet Dadwal, Ryotaro Nkamura, Zahra Eftekhari:
Healthcare Impacts of Real-Time Sepsis Risk Prediction Workflows for Hematopoietic Cell Transplant Recipients. - Qingyu Chen, Tiarnan D. Keenan, Alexis Allot, Sanjeeb Bhandari, Geoff Broadhead, Chantal Cousineau-Krieger, Ellen Davis, William G. Gensheimer, David Grasic, Seema Gupta, Eleni Konstantinou, Tania Lamba, Michele Maiberger, Arnold Oshinsky, Brittany Powell, Boonkit Purt, Soo Shin, Hillary Steifel, Alisa T. Thavikulwat, Keith Wroblewski, Sirisha Koirala, Tom Murickan, Michael F. Chiang, Michelle R. Hribar, Emily Y. Chew, Zhiyong Lu:
Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. - Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri:
A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping. - Daniel Liu, Shengfan Zhang, Maryam Alimohammadi, Feliciani Yu Jr.:
Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings. - Siru Liu, Adam Wright, Joseph J. Schlesinger, Thomas J. Reese, Edward T. Qian, Elise M. Russo, Matthew W. Semler, Brian J. Douthit, Allison B. McCoy:
A Theory-based Evaluation of a Clinical Decision Support System to Predict New Onset of Delirium. - Lynnea Myers, Shauna M. Overgaard, Tracey Brereton, Jason Greenwood, Lu Zheng, Joshua Ohde, Matthew Spiten, Kathy Ihrke, Kevin Peterson, Ashwani Khurana, Euijung Ryu, Madison Roy, Chung-Il Wi, Bjorn Nordlund, Young J. Juhn:
Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma.
Informatics Debate
- Michael A. Grasso, Andy Gettinger, Eugenia McPeek Hinz, Eric C. Pan, Richard Schreiber:
Did Congress Get It Right by Prohibiting Information Blocking: The Pros and Cons of Patients Having Unfettered Access. - Ellen Kim, Christoph U. Lehmann, William R. Hersh, Clifton D. Fuller, Bruce P. Levy:
A debate on the extension of the Practice Pathway for ABMS clinical informatics board certification for physicians in the United States. - Judy Murphy, Patricia Sengstack, Sarah Collins Rossetti, Patricia C. Dykes, Susan Hull:
Technology Will Resolve the Nursing Workforce Shortage Within 5 Years. - Amanda L. Purnell, Priya Joshi, Blake Anderson, Cole Zanetti, Helga E. Rippen:
Yours, Mine, and Ours: Exploring When Your Data Becomes Health Data. - Angela Ross, Laila Rasmy, Degui Zhi, Kathleen McGrow:
Explainability versus Accuracy to Engender Trust. - Grace Terrell, William Hammond, Genie McPeek Hinz:
Humans vs Machines: Who Decides?
LIEAF
- Shun Ahmed, Yanwei Li, Jiayi Wu, Xiaohan Liu, Yuxin Huang, Travis Osterman:
Improving Biomedical Informatics Graduate Student Recruitment through a Structured Undergraduate Summer Internship Team-Based Experience. - Alyssa Chen, Benjamin Wang, Sherry Parker, Ashish Chowdary, Katherine Flannery, Mujeeb Basit:
A Student-led Clinical Informatics Enrichment Course for Medical Students. - Benjamin Collins:
Development of an Online Training Module on Algorithmic Bias in Health Care for Clinicians. - Sue S. Feldman:
Developing a Competency Based Curriculum for Health Informatics. - Cheryl A. Fisher, Barbara Van de Castle, Ronald Piscotty, Charlotte A. Seckman:
Teaching complex health informatics processes using mind mapping methodology and visualization to support doctoral student learning. - Julian Genkins, Dev Dash, Lillian Sung, Saurabh Gombar, Alison Callahan:
Real-World Data at the Point-of-Care: Exploring Education Needs Across All Stakeholders. - Julian Z. Genkins, Saurabh Gombar:
Designing and Evaluating a Curriculum to Prepare Graduate Medical Education Trainees to Interrogate Real-World Data at the Point-of-Care. - Saif Khairat, Josette Jones, Sue S. Feldman, Charlie Harp:
Reflections on Bachelor?s Education in Health Informatics. - Andrea M. Krussel, Aditi Gupta, Mary Kalantzis, Philip Payne, Bill Cope:
MedMap: A Concept Mapping Ontology Tool in the Health Sciences Classroom. - J. Edward Maddela, Charles Zeilman, Sonya Gonzalez, Katherine Gianola Greatwood:
Developing Health Informatics Professionals within a Large, Integrated Health System. - Hiral Master, Lina Sulieman, Paul A. Harris, Karthik Natarajan, Robert J. Carroll, Kayla Marginean, Kelsey R. Mayo, Aymone Kouame, Michael Lyons:
Self-paced Training Modality to Promote the Use of All of Us Researcher Workbench in Educational and Research Settings. - Jessica Osaze, Suzanne A. Boren:
Consumer Health Informatics: Identifying the Theories and Building the Evidence. - Jeffrey Pennington, Rose Hartman, Ashwini Davison, Ali Shokoufandeh, Joy Payton, Daniel Chen, André Dietrich:
Online education for data science: Opportunities and challenges. - Andrew B. Phillips, Margie Sipe, Mary Kennedy, Roberta Christopher:
A Multisite Assessment of Nursing Informatics Competencies ? Nursing Educator Knowledge, Employer Needs, Inconsistencies and Priorities Identified. - Akshay Ravi, Benjamin Weia, Matthew Sakumoto, Aris Oates, Xinran Liu:
Informatics Education for Non-Informaticists: an Unmet Need. - Rhonda Schoville, Yun Jiang:
Linking Informatics and Innovative Nursing Leader Training. - Heidi Twedt, Lisa Gillmeister, Jennifer Wrenn:
A Novel Approach to a Capstone Project Course for an Online Program. - Scott Vennemeyer, Danny T. Y. Wu, Andy Gao, Siyi Zhu, M. Des, Michelle I. Knopp, Eric Warm:
User-Centered Design and Agile Development of a Clinical Competency Assessment Dashboard for Internal Medicine Residents. - Danny T. Y. Wu:
Deploying and Validating a Portable Informatics Application to Track Resident Clinical Experience in a Pediatric Academic Medical Center.
Panel
- Julia Adler-Milstein, Michelle R. Hribar, Benjamin I. Rosner, Adam C. Dziorny, Mark V. Mai:
Using EHR Audit Logs to Generate Provider Digital Phenotypes and Understand User Behavior Across the Professional Spectrum. - Elena Agapie, Shefali Haldar, Terika McCall, Ari H. Pollack, Lauren Wilcox:
Advancing Equitable and Human-Centered Health Informatics Systems: Strategies for Effective Design and Research Collaborations. - Kimberly Albero, Christine Chang, Elise Robertson, Edwin A. Lomotan:
Need FAIR Evidence? Use CEDAR to Discover and Retrieve Research Findings. - Joel Andress, Juliet Rubini, John W. Loonsk, Ahlia Sekkarie, Bryn Rhodes:
Clinical Reporting: Where Could HL7® FHIR® Lead? - Natalie C. Benda, Marianne Sharko, Uday Suresh, Jessica S. Ancker:
Making Numbers Meaningful: Practical Lessons in Communicating Numbers to Patients and the Public. - Nicole M. Benson, Pamela Hoffman, Rabindra Tambyraja, Alisa B. Busch, Todd Peters:
21st Century Cures Act Information Sharing with Patients in Behavioral Health Settings. - Arlene Bierman, Helen Burstin, Tina Hernandez-Boussard, Maia Hightower, Nikhil Mull:
The Impact of Algorithms on Racial and Ethnic Disparities in Health and Healthcare. - Teresa Zayas-Cabán, Belinda Seto, Robert J. Carroll, Jon Duke, Viet Nguyen:
Harmonizing FHIR and Common Data Models Used in Research: Current State and a Path Forward. - Mera Choi, Stephanie Garcia, Kristen E. Miller, Rachael Whiteside, Donald W. Rucker, Anita Samarth:
Accelerating the Use of Standardized APIs: Consumer, Researcher, App Developer, and Provider Perspectives. - Christopher G. Chute, Susan H. Fenton, Mary H. Stanfill, Kathy L. Giannangelo:
Making a Case for Adoption of ICD-11 Morbidity Reporting in the U.S.: Multiple Perspectives. - Prashila Dullabh, Rina V. Dhopeshwarkar, Maysoun Freij, Aziz A. Boxwala, James Swiger:
Future Directions for Patient-Centered Clinical Decision Support: What Have We Learned and Where Do We Go Next? - Patricia C. Dykes, Sarah Collins Rossetti, Patricia Sengstack, Guilherme Del Fiol, David J. Albers:
Informatics Research and Implementation During COVID: Challenges, Opportunities and Recommendations for Building a Sustainable Infrastructure. - Christina Eldredge, Saif Khairat, Sue S. Feldman, Matthew Scotch:
Towards Standards for Undergraduate Health Informatics Education. - Marsha Fearing, Anna Dover:
The Technical and Ethical Complexities of Genomic EHR Integration. - Andrew I. Geller, Nadine Shehab, Rick Geimer, Yauheni Solad, Shuai Zheng, Dani Robinson-Holland:
Building the Evidence Base for Automating Public Health Surveillance through a Nationwide Medication Safety Surveillance Use Case. - Gamze Gürsoy, Bradley A. Malin, Erman Ayday, Ellen Wright Clayton:
How to Achieve Privacy in Large Diverse Health Systems. - Christopher A. Harle, Daniella Meeker, Shyam Visweswaran, Thomas R. Campion Jr., Boyd M. Knosp:
Delivering Real World Patient Data for Clinical and Translational Research: Approaches from Four Institutions. - Dawn M. Heisey-Grove, Douglas B. Fridsma, Katherine Feldman, Gerry Miller, Anita Samarth:
Modernizing Public Health Data: Novel Approaches and Where We Go Next. - William R. Hersh, Jessica Ancker, Robert Hoyt, Aditi Gupta:
Beyond Wrangling and Modeling: Data Science and Machine Learning Competencies and Curricula for The Rest of Us. - Jan Horsky, Vojtech Huser, Karina D'Angelo, Kyle Flickinger, Alexander Turchin:
Evidence in Clinical Practice Records: Gathering and Analysis of Real-World Data for Trials and Outcome Studies. - Pei-Yun S. Hsueh, Jessie Tenenbaum, Tiffany I. Leung, Ashley C. Griffin, Karmen S. Williams:
How to Thrive in AMIA and Beyond: What You Need to Know about Cross-Functional Leadership, Gender Representation, and Career Paths in Biomedical and Health Informatics. - Bradley E. Iott, Karis Grounds, Jessica Burnett, Matthew S. Pantell:
Advancing Health and Social Service Information Exchange: Cutting Edge Examples, Lessons Learned, and What More Needs to be Learned. - Catherine H. Ivory, Mollie R. Cummins, Robert Lucero:
Perspectives on Adoption of a Unique Identifier for Nurses. - Lolita Kachay, Chelsea Richwine, Emily Mitchell, Adrienne Paris:
Enhancing the Usability of Prescription Drug Monitoring Programs for Clinicians. - Kensaku Kawamoto, Guilherme Del Fiol, Polina V. Kukhareva, Douglas K. Martin, Roland E. Gamache:
Establishing a Multidisciplinary Initiative for Interoperable EHR Innovations at an Academic Medical Center: the University of Utah ReImagine EHR Experience. - Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado:
Existing and emerging privacy challenges and solutions for federated data coordination. - Adam B. Landman, Benjamin I. Rosner, Deepti Pandita, Gretchen Purcell Jackson, Holly Urban:
Cost or Revenue Center? How Clinical Informaticists Can Demonstrate Organizational ROI in Academic Medical Centers, Community Health Systems, and Industry. - Curtis P. Langlotz, Thomas Wang, Tina Hernandez-Boussard, Irene Dankwa-Mullan:
Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. - Leslie Lenert, Caitlin Allen, Elissa Levin, Kevin Hughes, Aziz A. Boxwala:
Building the Base for the Integration of Genomics to Advance Precision Medicine and Population Health: Lessons Learned from Diverse Partnerships to Support Population Wide Genomic Screening. - Wayne H. Liang, Evan Orenstein, Jeffrey Hoffman, Stephon Proctor, Lia McNeely:
Towards a Provider Builder Program Maturity Model to Empower Front-Line Clinicians in EHR Design. - Emily Madden, Valeria Butler, Carol DeFrances, Raymond J. King, Susan Lumsden:
Federal Initiatives to Increase Access to and Linkage of Longitudinal Data Sets to Enhance Data Capacity for Patient-Centered Outcomes Research. - Sabrina Mangal, Natalie C. Benda, Ruth Masterson Creber, Meghan Reading Turchioe, Adriana Arcia:
Putting the user back in user-centered design: Strategies for incorporating patient goals and values throughout the design of decision aids. - Michael E. Matheny, Art Sedrakyan, Omar Badawi, Danica Marinac-Dabic, Frederic S. Resnic:
Can Data Science Move Medical Device Surveillance Forward? Highlights of Solutions and Remaining Challenges in Real-World Evidence Generation. - Allison B. McCoy, Swaminathan Kandaswamy, Juan D. Chaparro, Sean Hernandez, Evan Orenstein:
Catastrophic Disaster Stories: Tales of CDS Gone Wrong and Lessons Learned. - Scott McGrath, Gretchen Purcell Jackson, Tiffany I. Leung, Felix Holl, Kate Fultz Hollis:
Working Remotely: Making Health Informatics Careers Work at a Distance. - Genevieve Melton-Meaux, Leslie Lenert, Michael J. Becich, Shawn N. Murphy, Thomas R. Campion Jr.:
Research Patient Data Repositories: Perspectives from JAMIA Special Issue Editors on the Next Generation of Multi-Institutional Data Sharing. - Maria D. Moen, Lynda Hoeksema, Lorraine Wickiser, Matt Elrod, Chris Pugliese, Jessica Skopac:
The Future is Now: Enabling Greater Post-Acute Care Interoperability (PACIO Project Update). - Mark A. Musen, Jiang Bian, Bruce Chorpita, Vimla Patel, Cui Tao:
Ontologies in the Behavioral Sciences: Accelerating Research and the Accessibility and Use of Knowledge. - Vaishali Patel, Julia Adler-Milstein, Chelsea Richwine, Sunny C. Lin, Brian E. Dixon:
Health Information Exchange to Advance Public Health Reporting during the Pandemic and Beyond. - Faisal Reza, Stuart Myerburg, Christine Miner, Elizabeth Hurley, Danielle Henderson, Paloma L. Hawry:
Evolution of Immunization Informatics Technical Standards for the COVID-19 Vaccination and Future Responses. - Robert S. Rudin, Gita Mody, Daniel Solomon, Ruth Masterson Creber, Adriana Arcia:
Using Electronic Patient-Reported Outcomes to Monitor Patients Between Visits: Tools and Lessons Across Four Medical Conditions. - Marianne Sharko, S. Trent Rosenbloom, Lina Sulieman, Christoph Lehmann, Jessica S. Ancker:
Primum non Nocere: Challenges and Strategies for Protecting Privacy for Adolescent Patients in the 21st Century Cures Act Setting. - Vignesh Subbian, Melissa D. Clarkson, Carolyn Petersen, Anthony Solomonides, Kenneth W. Goodman:
25 Years of ELSI in Biomedical and Health Informatics. - Meghan Reading Turchioe, Ruth Masterson Creber, Enid Montague, Natalie C. Benda:
Bioethics perspectives on the development of urgently needed informatics solutions to address rising maternal morbidity and mortality. - Anne M. Turner, George Demiris, Amanda Lazar, Jane Chung:
Designing Informatics Solutions for Older Adults with Cognitive Impairment: Responding to the Challenge. - Elizabeth E. Umberfield, Kenrick Cato, Gillian Strudwick, Victoria Tiase, Marisa Wilson:
Leveraging Informatics as Support for the Well-being of the Nursing Workforce. - Mark G. Weiner, Charles Bailey, Richard R. Moffitt, Shawn N. Murphy:
The Informatics of RECOVER: Understanding the Post Acute Sequelae of SARS-CoV-2 Infection. - Karmen S. Williams, Tiffany I. Leung, Deepti Pandita, Arlene E. Chung:
Challenges Faced by Women in Informatics: Can We Fix It? - Alicia Williamson, Marcy G. Antonio, Elaine C. Khoong, Lucy Gray, Jorge Rodriguez, Tiffany C. Veinot:
Human intermediaries as core infrastructure for addressing telehealth access inequities.
Paper
- Chen Bai, Ruben Zapata, Yashaswi Karnati, Emily Smail, Alexandra Hajduk, Thomas M. Gill, Sanjay Ranka, Todd M. Manini, Mamoun T. Mardini:
Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults. - Katelyn K. Bechler, Nigam Shah:
Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus. - Mandis Beigi, Afrah Shafquat, Jason G. Mezey, Jacob Aptekar:
Simulants: Synthetic Clinical Trial Data via Subject-Level Privacy-Preserving Synthesis. - Douglas S. Bell, Kevin M. Baldwin, Elijah J. Bell:
Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2018-2020). - Akiva Blickstein, Jordan Barbour, Eric S. Reich, Biplab Sudhin Bhattacharya:
Optimizing Bed Utilization for COVID-19 Patient Flow Protocols in a Behavioral Health Inpatient Facility using Discrete Event Simulation. - Victor A. Borza, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems. - Rajdeep Brar, Marsha Meytlis, Isabel Friedman, Nicholas Dacosta, Alexander Rimar, Jessica Cohen, Tara Liberman, Jamie S. Hirsch, Kevin Bock, Michael I. Oppenheim:
Automated Identification of Patients with Advanced Illness. - James Thomas Brown, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, Bradley A. Malin:
Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies. - Katherine A. Brown, Indra Neil Sarkar, Karen Crowley, Dilum P. Aluthge, Elizabeth S. Chen:
An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities. - Marissa Burgermaster, Madalyn Rosenthal, William M. Tierney, Brandon Altillo, Eric Nordquist, Christina Enriquez, Steven Andrews, Caroline Klatt, Grant Daniels:
Nutri: A Behavioral Science-Based Clinical Decision Support System for Chronic Disease Management. - Hannah A. Burkhardt, Megan Laine, Amanda Kerbrat, Trevor Cohen, Kate Comtois, Andrea L. Hartzler:
Identifying opportunities for informatics-supported suicide prevention: the case of Caring Contacts. - Tiffany J. Callahan, Adrianne L. Stefanski, Danielle Ostendorf, Jordan M. Wyrwa, Sara J. Deakyne Davies, George Hripcsak, Lawrence Hunter, Michael G. Kahn:
Characterizing Patient Representations for Computational Phenotyping. - Keith E. Campbell, Taima Gomez, Elizabeth D. Korte, Raja Arul Cholan, Robert Rehwoldt, Andrew K. Sills, Christine Spisla, Traci Hindman Robinson, Philip Meacham, Alicia Bracco, Peyton Marion, Stephen Powell, Diane Montella, Steven H. Brown:
Establishing Trust in Pharmaceutical Data with an Independent Verification and Validation Methodology. - Ho Yin Chan, Mei Liu:
Interpretable Sub-phenotype Identification in Acute Kidney Injury. - Eun Suk Chang, Javed Mostafa:
Cohort Identification from Free-Text Clinical Notes Using SNOMED CT's Hierarchical Semantic Relations. - Alyssa Chen, Marguerite Monogue, Mujeeb Basit:
A Large-Scale Retrospective Study on Thrombocytopenia Associated with Beta-Lactam Antibiotics. - Aokun Chen, Qian Li, Xing He, Michael Jaffee, William R. Hogan, Fei Wang, Yi Guo, Jiang Bian:
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials. - Jeeyae Choi, Charlotte Thompson:
Faculty Driven Virtual Reality (VR) Scenarios and Students Perception of Immersive VR in Nursing Education: A Pilot Study. - Michal Chorev, Vesna Resende Barros, Adam Spiro, Ella Evron, Ella Barkan, Oren Kagan, Mika Amit, Michal Ozery-Flato, Ayelet Akselrod-Ballin, Varda Shalev, Michal Rosen-Zvi, Michal Guindy:
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. - Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday:
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy. - Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski:
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. - Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. - Saman Enayati, Slobodan Vucetic:
MERIT: Minimal SupErvision Through Label Augmentation For Biomedical RelatIon ExTraction. - Hao Fan, Kian-Huat Lim, Po-Yin Yen:
A Data-Driven Pipeline to Discover Treatment Variations and the Associated Contributing Factors Balanced with Optimal Granularity. - Davide Ferrari, Veronica Guidetti, Vasa Curcin, Yanzhong Wang:
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. - Meghal Gandhi, Lauren Daskivich, Omolola Ogunyemi:
DRRisk: A Web-based tool to Assess the Risk of Diabetic Retinopathy through Machine Learning on Electronic Health Records. - Grace Gao:
Developing and Evaluating a Diversity, Equity, and Inclusion Storytelling Model in Data Courses in an Academic Electronic Health Record. - Zhenxiang Gao, Rong Xu, Yiheng Pan, Pingjian Ding:
A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks. - Vijay Gehlot, Elliot B. Sloane, Dominic King, Nilmini Wickramasinghe, Jonathan L. Schaffer:
Healthcare Optimization and Augmented Intelligence by Coupling Simulation & Modeling: An Ideal AI/ML Partnership for a Better Clinical Informatics. - Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi:
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. - Michael A. Grasso, Zachary Dezman, David Jerrard:
Coding Disparity and Specificity during Emergency Department Visits after Transitioning to the Tenth Version of the International Classification of Diseases. - Yawen Guo, Jun Zhu, Yicong Huang, Lu He, Changyang He, Chen Li, Kai Zheng:
Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets. - Ameen Abdel Hai, Mark G. Weiner, Anuradha Paranjape, Alice Livshits, Jeremiah R. Brown, Zoran Obradovic, Daniel J. Rubin:
Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes. - Daniel R. Harris, Nick Anthony, Mojde Mir, Chris Delcher:
geoPIPE: Geospatial Pipeline for Enhancing Open Data for Substance Use Disorders Research. - Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Sungrim Moon, Kurt Miller, Hongfang Liu:
Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator. - Linh K. Hoang, Yingjun Guan, Halil Kilicoglu:
Methodological information extraction from randomized controlled trial publications: a pilot study. - Mollie Hobensack, Jiyoun Song, Sena Chae, Erin E. Kennedy, Maryam Zolnoori, Kathy Bowles, Margaret V. McDonald, Lauren Evans, Maxim Topaz:
Capturing Concerns about Patient Deterioration in Narrative Documentation in Home Healthcare. - Chad M. Hodge, James Hellewell, Ian Ford, Kellyann Nielsen, Philip J. Brewster, Jeffrey Henrie:
Embedding a State-Wide Prescription Drug Monitoring Program into the Electronic Health Record. - Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi:
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. - Arash Jalali, Sean Huang, Karl Kochendorfer:
Cloud Computing Synthetic Syndromic Surveillance Systems: Opioid Epidemic in Illinois. - Xinzhuo Jiang, Maura Beaton, Jake Gillberg, Andrew Williams, Karthik Natarajan:
Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model. - Venkata Joopudi, Bharath Dandala, Ching-Huei Tsou, Jennifer J. Liang:
Hierarchy-aware Adverse Reaction Embeddings for Signal Detection. - Erin E. Kennedy, Anahita Davoudi, Sy Hwang, Ryan J. Urbanowicz, Philip Freda, Kathy Bowles, Danielle L. Mowery:
Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing. - Jeongeun Kim, Mitchell Izower, Yuri Quintana:
Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing. - Sebastien D. Kiogou, Terrence Adam:
Clinical Data Repositories: Primary Sources of Drug-to-Drug Interaction Detection and Risk Assessment. - Mark A. Kramer:
Reducing FHIR "Profiliferation": A Data-Driven Approach. - Kevin J. Krause, John Shelley, Robert Becker, Colin Walsh:
Exploring Risk Factors in Suicidal Ideation and Attempt Concept Cooccurrence Networks. - Jonathan Y. Lam, Andrew Richardson, Adriana H. Tremoulet, John Kanegaye, Chisato Shimizu, Nicole Stadnick, Jane C. Burns, Shamim Nemati, Michael A. Gardiner:
Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. - Linh Le, Guido Zuccon, Genghong Zhao, Gianluca Demartini, Xia Zhang:
Leveraging Semantic Type Dependencies for Medical Named Entity Recognition. - Eva K. Lee, Xei Wei, Michael Wright:
New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care. - Eva K. Lee, Yifan Liu, Abdelgawad El-Tahawy, Folorunso Fasina:
Analyzing Strategies for Containing Avian Influenza. - Jonah Leshin, Abel N. Kho, Arjun Sanghvi, Kavi Ravuri, Matthew Owen:
The Impact of Name Transformation on Match Rates Within a Large Consumer Database. - Andrew Liew, Helen Monkman, Ryan Palmer, Liz Kollaja, Kristin Rodriguez, Shannon Ijams, Juell Homco, John Laurent, Anna Wickham, Frances Wen, Blake J. Lesselroth:
A Telepsychiatry Simulation for Suicide Assessment: Teaching Telemedicine Safety Competencies. - Yannan Lin, Ruiwen Ding, Ashley Prosper, Denise R. Aberle, Alex A. T. Bui, William Hsu:
Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence. - Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fushen Wang, Chao Chen:
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. - Francesca Manni, Aleksandr Bukharev, Anshul Jain, Shiva Moorthy, Asif Rahman, Anca Bucur:
Neural gradient boosting in federated learning for hemodynamic instability prediction: towards a distributed and scalable deep learning-based solution. - Kyle A. Marshall, David Friedlander, Vishnu Mohan, David K. Vawdrey:
Comparison of Ordering Tools on Adherence to Treatment Protocols in the Emergency Department. - Colin McLean, Daniel Capurro:
Concept Drift Detection to Assess the Diffusion of Process Innovations in Healthcare. - Tanya E. Melnik, Joshua A. Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve Melton-Meaux, Susan Pleasants, Rui Zhang:
Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution. - Dara Eckerle Mize, Travis Osterman:
A Unified Approach to Clinical Informatics Education for Undergraduate and Graduate Medical Education. - Yahia Mohamed, Xing Song, Tamara M. McMahon, Suman Sahil, Meredith N. Zozus, Zhan Wang, Lemuel R. Waitman:
Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM). - Maryamsadat Mohtashamian, Ran Hu, Rashmie Abeysinghe, Xubing Hao, Hua Xu, Licong Cui:
Automated Identification of Missing IS-A Relations in the Human Phenotype Ontology. - Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu:
Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives. - Amanda J. Moy, Kenrick Cato, Jennifer Withall, Nicholas P. Tatonetti, Eugene Y. Kim, Sarah Collins Rossetti:
Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files. - Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Anna Ostropolets, Patrick B. Ryan, George Hripcsak:
Phenotyping in distributed data networks: selecting the right codes for the right patients. - Irena Parvanova, Kirill Borziak, Anar Plotnikov, Joseph Finkelstein:
A Web-based Platform to Share Harmonized Results from COVID-19 Clinical Studies. - Jay S. Patel, Kajal Patel, Hoa Vo, Jiannan Liu, Marisol Tellez, Jasim M. Albandar, Huanmei Wu:
Enhancing an AI-Empowered Periodontal CDSS and Comparing with Traditional Perio-risk Assessment Tools. - Satyabrata Pati, Gina Thompson, Chritopher Mull, Jacey Fazio, Daniel Allen, Heidi Felix, Margaret R. Paulson, Rajeev Chaudhry, Gautam Matcha, Michael J. Maniaci, Charles Burger, Daniel Quest:
Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling. - Samson Peter, Maggie Wang, Chi D. Chu, Delphine S. Tuot, Arhana Chattopadhyay, Jonathan H. Chen:
Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure. - Christina M. Polomoff, Sean Jeffery, Thomas Agresta, Steven A. Demurjian, Nitu Kashyap:
Experiences with Cyclical User-Centered Design for Patient and Clinician Facing Medication Reconciliation mHealth Applications. - Protiva Rahman, Daniel Fabbri:
Semi-Automated Data Curation from Biomedical Literature. - Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding:
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. - Rebecca Randell, Lynn McVey, Hadar Zaman, Judy M. Wright, V.-Lin Cheong, Dawn Dowding, Peter Gardner, Nicholas R. Hardiker, Frances Healey, Alison Lynch, Natasha Alvarado:
Designing health IT to support falls prevention in hospitals: Findings from a realist review. - Bhanu Pratap Singh Rawat, Hong Yu, Heather Keating, Raelene Goodwin, Emily Druhl:
An Investigation of the Representation of Social Determinants of Health in the UMLS. - Nick Reid, Kathleen J. Ramos, Lauren E. Bartlett, Joseph B. Pryor, Donna L. Berry, Melissa Basile, Siddhartha G. Kapnadak, Andrea L. Hartzler:
Usability preferences of people living with cystic fibrosis about a lung transplant education website. - Colby N. Reyes, Kai Zheng, David Hanauer:
Design, Implementation, and Usability of the Electronic Medical Record Search Engine (EMERSE) Tool. - Tera L. Reynolds, Meghna Kaligotla, Kai Zheng:
Investigating the Interoperable Health App Ecosystem at the Start of the 21st Century Cures Act. - Savitha Sangameswaran, Serena Jinchen Xie, Michelle Garrison, Dori Rosenberg, Jason Yip, Andrea L. Hartzler:
Exploring needs, interests and preferences for digital mind body tools for adolescents. - Thiago Santos:
PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. - Sonish Sivarajkumar, Yanshan Wang:
HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. - Jeffrey Smith, Christopher S. Josef, Yao Xie, Rishikesan Kamaleswaran:
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. - Jiyoun Song, Maryam Zolnoori, Danielle Scharp, Sasha Vergez, Margaret V. McDonald, Sridevi Sridharan, Zoran Kostic, Maxim Topaz:
Is Auto-generated Transcript of Patient-Nurse Communication Ready to Use for Identifying the Risk for Hospitalizations or Emergency Department Visits in Home Health Care? A Natural Language Processing Pilot Study. - Sarvesh Soni, Kirk Roberts:
Toward a Neural Semantic Parsing System for EHR Question Answering. - Gillian Strudwick, Brian Lo, Jessica Kemp, Karim Jessa, Tania Tajirian, Peggy A. White, Lynn M. Nagle:
Opportunities and challenges to enhance the value and uptake of Chief Nursing Informatics Officer (CNIO) Roles in Canada: A Qualitative Study. - Bhavani Subbaraman, Kamran Ahmed, Matthew Heller, Alison Essary, Vimla L. Patel, Dongwen Wang:
Development of a Patient Decision Aid for Refractive Eye Surgery. - Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noemie Elhadad:
Assessing Phenotype Definitions for Algorithmic Fairness. - Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman:
Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention. - Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek:
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. - Brian D. Tran, Ming Tai-Seale, Ramya Mangu, Jennifer Lafata, Kai Zheng:
Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations. - Samson W. Tu, Tanya Podchiyska, Connie Oshiro, Susana B. Martins, Michael Ashcraft, Justin G. Chambers, Amy Robinson, Paul Heidenreich, Mary K. Goldstein:
Structural Patterns in Chronic Disease Clinical Practice Guidelines Formalized for Clinical Decision Support. - Meghan Reading Turchioe, Jessica S. Ancker, Alexander Volodarskiy, Joshua Vapnik, Sushant Sunkaraneni, David Slotwiner:
Experiences of care delays and telehealth use during the COVID-19 pandemic among socioeconomically diverse cardiovascular patients and clinicians in an urban hospital. - David K. Vawdrey, David Fletcher, Tejal Raichura, Ryan Muldowney, Karen Murphy, Eric S. Hall:
Pandemic Telemedicine Adoption Trends in a Predominantly Rural Integrated Health System. - Nikita Sandeep Wagle, Jordan Schueler, Solangia Engler, Sherecce Fields, Hye-Chung Kum:
A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology in Underserved Populations. - Shuang Wang, Huai-Yu Wang, Jian Du:
Discovering causal paths to diabetic nephropathy by combining computable biomedical knowledge with graph mining algorithms. - Qinyong Wang, Rong Xu:
AANet: Attentive All-level Fusion Deep Neural Network Approach for Multi-modality Early Alzheimer's Disease Diagnosis. - Xiaochen Wang, Yue Wang, José Luis Ambite, Abhishek M. Appaji, Howard Lander, Stephen Moore, Arcot Rajasekar, Jessica A. D. Turner, Matthew D. Turner, Lei Wang, Satya S. Sahoo:
Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project. - Michael T. Watkins, Wendy Kohlmann, Therese Berry, Neetha Sama, Cathryn Koptiuch, Shawn Rynearson, Karen Eilbeck:
LocalVar: a local variant collection manager to asynchronously detect synonyms, HGVS expression changes, and variant interpretation changes from ClinVar. - Kaitlin C. Williamson, Daniel Fabbri:
Classifying Infection Risk Following Pediatric Cardiac Surgery. - YiFan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen:
Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. - Danny T. Y. Wu, Tripura Vithala, Hoang Vu, Chen Xin, Lezhi Li, Amy Roberto, Adam Alexander, Devendra Sohal, Thomas Herzog, James J. Lee:
Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions. - Elisabeth Yang, Yin Aphinyanaphongs, Paawan Punjabi, Jonathan S. Austrian, Batia Mishan Wiesenfeld:
Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction. - Zonghai Yao, Yi Cao, Zhichao Yang, Vijeta Deshpande, Hong Yu:
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. - Yue You, Renkai Ma, Xinning Gui:
User Experience of Symptom Checkers: A Systematic Review. - Weichao Yuwen, Jessica Chang, Myra Divina, Xuehong Fan, William R. Kearns, Allysa Denyelle Peredo, Andrea L. Hartzler:
Comparing Caregiving Needs in Asian And White Family Caregivers through a Journaling Exercise Delivered by a Conversational Agent. - Katherine Ann Zellner, Louis Jiorgio Villegas, Charles Neff, Waverly Gestrich-Thompson, Randall S. Burd, Ivan Marsic, Aleksandra Sarcevic:
An Analysis of Speech during Life Saving Interventions to Inform the Design of a Computerized System for Delay Detection. - Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton:
Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. - Guo-Qiang Zhang, Xiaojin Li, Yan Huang, Licong Cui:
Temporal Cohort Logic. - Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen:
Inferring EHR Utilization Workflows through Audit Logs. - Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss:
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
Podium Abstract
- Joanna Abraham, Margarita Sordo, Duo Helen Wei, Polina V. Kukhareva, Deepti Pandita, Prerna Dua, Imon Banerjee, Donghua Tao:
Impact of COVID-19 on Career and Family Life for Women in AMIA. - Joanna Abraham, Alicia Meng, Benjamin C. Warner, Thaddeus P. Budelier, Thomas George Kannampallil:
Role of Telemedicine in Remote Intraoperative Decision Support. - Julia Adler-Milstein, Jordan Everson:
Electronic Connectivity between Hospital Pairs: Impact on ED Utilization. - Samer Al-Droubi, Karl Kochendorfer, Marianna Krive, Michal Laufer Perl, Dan Gilon, Javid Moslehi, Christopher Gans, Joshua Arnold, Tochukwu Okwuosa, Eiman Jahangir, Jacob Krive:
Machine Learning Modeling to Support Cardio-Oncology Medical Practice. - Caitlin G. Allen, Daniel Judge, Elissa Levin, Katherine Sterba, Kelly J. Hunt, Paula S. Ramos, Sam Gallegos, Cathy Melvin, Karen Wager, Ken Catchpole, Catherine Clinton, Marvella E. Ford, Lori McMahon, Leslie Lenert:
Lessons Learned from the First 1, 000: Building the Base to Reach a Diverse Cohort of 100, 000 Participants in a Population Wide Genomic Screening Program. - Abdullah H. Alzeer, Dala Alali, Raghad Alabdullatif, Suleiman Alaqel, Sarah Alkhudair, Mohammed Alnashar, Saad Alhuzami, Hind Alseleahbi, Walaa Alnasser, Fahad Alsaawi, Abdullah Aqeeli:
Lowering Friction in Digital Health Transformation in Healthcare System: Open-Source Digital Ecosystem Framework. - Austin A. Antoniou, Robert Schuetz, Bimal Chaudhari:
A Machine Learning Classifier to Prioritize Exome Reanalysis and Improve Rates of Rare Disease Diagnosis. - Nate C. Apathy, Allison J. Hare, Sarah Fendrich, Dori A. Cross:
What gives? Changes in note composition as physicians shorten notes. - Nate C. Apathy, Lisa S. Rotenstein, David W. Bates, A Jay Holmgren:
Documentation dynamics: note composition, burden, and physician efficiency. - Amelia J. Averitt, Justin Mower, Nilanjana Banerjee:
Deep Representational Clustering for Endotype Discovery. - Anas Belouali, Haibin Bai, Kanimozhi Raja, Hadi Kharrazi:
Impact of Social Determinants of Health on Improving the LACE Index for 30-Day Unplanned Readmission Prediction. - Sophia Bessias, Anitra Lynch, Stacy Cobb, Gary Gartner, Ryan Kelly, Charul Haugan:
Multi-center implementation and evaluation of a custom clinical decision support model to reduce false sepsis alerts in the Emergency Department. - Kirill Borziak, Joseph Finkelstein:
Using Publicly Available Exome Sequencing Data to Identify X-linked Genetic Risk Factors for Multiple Sclerosis in Women. - Melissa A. Bruno, Scott McGrath, Katherine K. Kim:
Implementing the ACTIVATE Digital Health Platform in Rural and Underserved Communities: A Mixed Methods, Multi-site Case Study. - Marieke M. van Buchem, Hamza El Mosor, Jean Coquet, Tina Hernandez-Boussard:
Using Reddit to detect suicidal ideation from patient emails. - Katie Burhop, Tatyan Clarke, Kathleen Lux, Bhavik Patel:
The Application of Motivational Communication Principles from Advertising to Best Practice Advisory (BPA) Design May Improve User Compliance. - James R. Campbell, James Svoboda, Alfred Anzalone, Mary Campbell, Johnelle Sparks, Carol Geary:
Developing support for interoperation of research in healthcare equity. - Sena Chae, Jiyoun Song, Yolanda Barrón, Kathy Bowles, Margaret V. McDonald, Sarah Collins Rossetti, Kenrick Cato, Mollie Hobensack, Lauren Evans, Maxim Topaz:
Heart Failure Patient Characteristics and Symptoms Documented in Home Health Care Clinical Notes are Associated with Emergency Department Visits and Hospitalizations. - Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Amr S. Elsawy, Emily Y. Chew, Zhiyong Lu:
Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations. - Alex Clark, Naveen Muthu, Mark V. Mai, Evan Orenstein, Swaminathan Kandaswamy, Kathleen Fear, Adam C. Dziorny:
Quantifying Clinical Decision Support Across Pediatric Intensive Care Units. - Zoe Co, Lisa P. Newmark, David C. Classen, Jessica M. Cole, David W. Bates:
Development and Piloting of a Human Factors Survey Based on I-MeDeSA through the Ambulatory EHR Evaluation Tool. - Conor K. Corbin, Michael Baiocchi, Jonathan H. Chen:
How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed. - Dori A. Cross, Nate C. Apathy, A Jay Holmgren:
Variation in Use of Electronic Health Records within and Across Organizations. - Wanting Cui, Joseph Finkelstein:
Using EHR to Assess Disparities in Lung Cancer Survival. - Brock Daniels, Christina McGinnis, Justin Kara, Josh Kim, Peter W. Greenwald, Rahul Sharma:
Can Facilitated Telehealth Bridge the Digital Health Divide? - Jaysón M. Davidson, Rohit Davidson, Ayan Patel, Atul J. Butte:
Understanding the Impact of Demographics and Socioeconomic Parameters on Treatment Selection and Utilization in Type 2 Diabetes. - Thomas E. Dawson, Jonathan M. Beus, Swaminathan Kandaswamy, Uwem Umontuen, Denice McNeill, Evan Orenstein:
Reducing Therapeutic Duplication in Inpatient Medication Orders. - Xiyu Ding, Akihiko Nishimura, Scott Zeger, Hadi Kharrazi:
Assessing the Impact of Social Determinants of Health on Patients with Type II Diabetes. - Heba H. Edrees, Diane L. Seger, Mary G. Amato, Ania Syrowatka, Pamela M. Garabedian, Sevan M. Dulgarian, Petra Schultz, Gretchen Purcell Jackson, David W. Bates:
Getting to the Information Clinicians Need Quickly: An Evaluation of DynaMed and Micromedex with Watson. - Jordan Everson, Vaishali Patel, Andrew W. Bazemore, Robert L. Phillips:
Interoperability Among Hospitals Treating Socioeconomically Disadvantaged Patients. - Hannah Eyre, Kristine W. Lynch, Carolyn Gibson, Scott L. DuVall, Olga V. Patterson:
Identifying Menopausal Status with Natural Language Processing. - Liyue Fan, Luca Bonomi:
Training Deep Learning Models Privately in Survival Studies. - Rohan Goli, Nina C. Hubig, Hua Min, Yang Gong, Dean F. Sittig, David Robinson, Paul G. Biondich, Adam Wright, Christian Nøhr, Tim Law, Arild Faxvaag, Ronald W. Gimbel, Lior Rennert, Xia Jing:
Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation. - William J. Gordon, Kate Bentley, Amy Fitzpatrick, Brian Kaney, Ronald Kessler, Matthew K. Nock, Ben Y. Reis, Mark Schechter, Vicki Strateman, Dewar Tan, Sarah Young, Jordan W. Smoller:
A SMART on FHIR Application to Improve Suicide Risk Prediction and Management. - Geoffrey M. Gray, Luis M. Ahumada, Ayah Zirikly, Masoud Rouhizadeh, Thomas Richards, Elham Hatef:
Application of Natural Language Processing to Identify Social Needs from The Electronic Health Record's Free-Text Notes. - Geoffrey M. Gray, John Morrison, Anthony Sochet, Mohamed A. Rehman, Paola B. Dees, Luis M. Ahumada:
Development of a High-Performance Predicting Model for 7-Day Readmissions at a Quaternary Pediatric Institution. - Ashley C. Griffin, Lara K. Troszak, James Van Campen, Amanda M. Midboe, Donna M. Zulman:
Tablet Distribution to Veterans: An Opportunity to Increase Portal Adoption and Use. - Andrew Guide, Lina Sulieman, Qingxia Chen:
Identifying Erroneous Height and Weight Values from Adult Electronic Health Records. - Kush Gupta, Jason Hom, Ted Ross, Jonathan Masterson, Alexander Chin, Arnold Milstein, Jonathan H. Chen:
Modifiable Inpatient Cost Variability at a Large Academic Medical Center. - Elham Hatef, Hsien-Yen Chang, Thomas Richards, Elyse C. Lasser, Hadi Kharrazi, Jonathan P. Weiner:
Development of an Integrated Clinical and Social Multi-level Risk Score to Identify Social Needs Among Minority Populations in Baltimore City. - Jenny Hauschildt, Rachel Gold, Kristin Lyon-Scott, Christina Sheppler, Annie Larson, Carmit McMullen, David Boston, Patrick J. O'Connor, JoAnn M. Sperl-Hillen:
Multi-level factors associated with use of an EHR-based shared-decision making system for cardiovascular disease risk in community health centers. - A Jay Holmgren, Nate C. Apathy:
Impact of Patient Access to EHR Notes on Clinician EHR Documentation. - Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg:
Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. - Yan Hu, Vipina Kuttichi Keloth, Hua Xu:
Section-specific Annotation of PICO for Medical Evidence Extraction: Applications to Articles of Randomized Controlled Trials for Alzheimer's Disease and COVID-19. - Yining Hua, Hang Jiang, Jie Yang, Shixu Lin, Joseph M. Plasek, David W. Bates, Li Zhou:
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications. - Nan Huo, Yue Yu, Nansu Zong, Andrea Cheville, Claude Nanjo, Eric Prud'hommeaux, Deirdre Pachman, Guohui Xiao, Emily R. Pfaff, Christopher G. Chute, Guoqian Jiang, Kathryn J. Ruddy:
Modeling a Cancer Symptom Control Domain Using HL7 FHIR: Applicability of the Minimal Common Oncology Data Elements (mCODE). - Bradley E. Iott, Matthew S. Pantell, Julia Adler-Milstein, Laura M. Gottlieb:
Physician Awareness of Social Determinants of Health Documentation Capability in the Electronic Health Record. - Meghna Jani, Ghada Alfattni, Maksim Belousov, Yuanyuan Zhang, Michael Cheng, Andrew S. Kanter, William G. Dixon, Goran Nenadic:
Pandemic Planning using Text Analytics on Hospital Outpatient Letters: a Case Study on Covid-19 Shielding for Rheumatology Patients. - Xia Jing, Yuchun Zhou, James J. Cimino, Jay Shubrook, Vimla L. Patel, Sonsoles De Lacalle, Chang Liu:
Development and preliminary validation of metrics to evaluate data-driven clinical research hypotheses. - Barrett Jones, Colin G. Walsh:
Modeling association between clinician interventions and outcomes in Major Depressive Disorder with observational electronic health record data. - Kevin Wiley Jr., Eneida A. Mendonça, Justin Blackburn, Nir Menachemi, Mary De Groor, Joshua R. Vest:
Quantifying Electronic Health Record (EHR) Data Quality in Telehealth and Office-based Type 2 Diabetes Care. - Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz:
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. - Jason Keiner, Subha Airan-Javia, Christopher Hwang:
Let's Talk About RAF: Improving Documentation & Score Accuracy with Care Orchestration. - Chris J. Kennedy, Jayson S. Marwaha, Brendin Beaulieu-Jones, Josh Bleicher, Lyen Huang, Gabriel A. Brat:
Leveraging External Data to Make Local Predictions of Post-Surgical Opioid Use: Investigating the Role of External Validation and Transfer Learning. - Tanawat Khunlertkit:
Potential Contribution of Wellness Care to CVD Prevention among Diabetes Patients: Analysis of BI-VitalLife Cohort. - Ellen Kim, Arpi Murray, Michael Tolstorukov, Neil Martin:
The application of patient reported outcomes (PROs) to build personalized patient education aids for shared decision making at prostate cancer consultations. - Lindsey A. Knake, Mhd Wael Alrifai, Allison B. McCoy, Jonathan P. Wanderer, Kevin B. Johnson, Christoph U. Lehmann, Adam Wright, L. Dupree Hatch III:
Lessons Learned from Implementing Clinical Decision Support for Neonatal Ventilation. - Jejo D. Koola, Jialin Mao, Sharon E. Davis, Henry Ssemaganda, Dax M. Westerman, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny:
A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning. - Polina V. Kukhareva, Douglas Martin, Isaac Warner, Salvador Rodriguez-Loya, Haojia Li, Yue Zhang, Tanner J. Caverly, Guilherme Del Fiol, Kensaku Kawamoto:
Lung Cancer Screening Implementation in Primary Care Using an Electronic Health Record-integrated Shared Decision Making Tool and Clinician-facing Prompts. - Elyse C. Lasser, Kimberly Gudzune, Hadi Kharrazi, Harold P. Lehmann, Jonathan P. Weiner:
A comparison of socio-behavioral determinants of health information captured in the electronic health record versus insurance claims for a population seen in an ambulatory care setting. - Leslie A. Lenert, Vanessa Diaz, Kit N. Simpson, Christina Hahn, Alyssa Rheingold:
Primary Care Screening for Confidential Conditions in a Segmented Electronic Health Record: Application to Intimate Partner Violence. - Megan Mun Li, Tsung-Ting Kuo:
COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications. - Jiannan Liu, Huanmei Wu, Daniel H. Robertson, Kun Huang, Jie Zhang:
ADE: an integrated bioinformatics web server for neurodegenerative disease exploration, omics data analysis, and drug discovery. - Sunny S. Lou, Seunghwan Kim, Derek Harford, Benjamin C. Warner, Philip R. O. Payne, Joanna Abraham, Thomas George Kannampallil:
Effect of Patient Switching on EHR-based Workload and Wrong-Patient Errors. - Ling Luo, Po-Ting Lai, Chih-Hsuan Wei, Cecilia N. Arighi, Zhiyong Lu:
BioRED: A Comprehensive Biomedical Relation Extraction Dataset. - Kevin Lybarger, Namu Park, Sitong Zhou, Aashka Damani, Alison Brennan, Jagjeet Gill, Nianiella Dorvall, Vy Huynh, Spencer Lewis, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations. - David Lyell, Ying Wang, Farah Magrabi:
More than Algorithms: an Analysis of ML Safety Events Reported to the FDA. - Tianchu Lyu, Chen Liang, Jihong Liu, Berry Campbell, Peiyin Hung, Yi-Wen Shih, Nadia Ghumman, Xiaoming Li:
Temporal Events Detector for Pregnancy Care (TED-PC): A Rule-based Algorithm to Infer Gestational Age and Delivery Date from Electronic Health Records of Pregnant Women with and without COVID-19. - Natalya Maisel, J. Marc Overhage, Robert Thombley, Kathleen Blake, Christine A. Sinsky, Lindsey E. Carlasare, Julia Adler-Milstein:
Impact of Changes in CMS E/M Documentation Requirements on Physician EHR Use. - Shivani Mehta, Anna Rubinsky, Courtney R. Lyles, Kathryn Kemper, Kim Nguyen, Laura M. Gottlieb, Urmimala Sarkar, William Brown III:
Comparative Analysis of Social Connections/Isolation and Stress Documentation in Structured and Unstructured Machine De-Identified Data using PatientExploreR and EMERSE. - Elliot G. Mitchell, Satish Kalepalli, Grant DeLong, Meg Horgan, Vishal Mehra, David K. Vawdrey, Karen Murphy, Abdul Tariq:
Towards Intuitive Features for Useful Explanations of Predictive Models. - Keran Moll, Cindy Ke Zhou, Lisa Kowarski, Shayan Hobbi, Katie Fingar, Patricia Lloyd, Patrick Saunders-Hastings, Joyce Obidi, Steven A. Anderson, Nader Alawar, Veronica Hernandez-Medina, Timothy Burrell, Jeffrey Beers, John Seeger, Kandace Amend, Elizabeth Bell, Michael Miller, Hui-Lee Wong, Azadeh Shoaibi:
Using structured electronic health record (EHR) data to assess claims-based algorithm performance in the Food and Drug Administration (FDA)'s Biologics Effectiveness and Safety (BEST) Initiative network. - Keaton L. Morgan, Polina V. Kukhareva, Phillip B. Warner, Jonah Wilkof, Meir Snyder, Devin Horton, Troy Madsen, Joseph Habboushe, Kensaku Kawamoto:
Using CDS Hooks to Increase SMART on FHIR App Utilization: A Cluster-Randomized Trial. - Amanda J. Moy, Jennifer Withall, Mollie Hobensack, Rachel Y. Lee, Deborah Levy, S. Trent Rosenbloom, Sarah Collins Rossetti, Kevin B. Johnson, Kenrick Cato:
Using Topic Modeling to Elicit Insights from the 25x5 Symposium to Reduce Documentation Burden Chat Logs. - Avinash Murugan, Swaminathan Kandaswamy, Edwin Ray, Scott Gillespie, Evan Orenstein:
Evaluation of the Epic Risk of Pediatric Asthma Exacerbation Model: A Difference-In-Differences Analysis. - Behzad Naderalvojoud, Anne A. H. de Hond, Alessandro Shapiro, Jean Coquet, Tina Seto, Tina Hernandez-Boussard:
Predicting Prolonged Opioid Use Following Surgery Using Machine Learning: Challenges and Outcomes. - Harry Reyes Nieva, Noemie Elhadad:
Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review. - Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu:
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. - Travis Osterman, Teja Ganta, Sutin Chen, Samuel L. Volchenboum:
mCODE® (Minimal Common Oncology Data Elements): a 3-year Update. - Chintan J. Pandya, Elham Hatef, Jun Bo Wu, Thomas Richards, Jonathan Weiner, Hadi Kharrazi:
Association of Documented Social Needs in Claims and Electronic Health Records of Medicaid Population with Healthcare Utilization and Costs. - Jessica Annette Pater, Fen Lei Chang, Jeanne Carroll, R. Scott Stienecker, Tammy Toscos, Shion Guha:
Charting the Changing Nature of Post-Covid Symptoms: Initial Findings from a Longitudinal Study. - Adrienne Pichon, Iñigo Urteaga, Lena Mamykina, Noemie Elhadad:
Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. - Malvika Pillai, Javed Mostafa, Alexander Tropsha, Amanda Seyerle, Jamie Arguello, Di Wu:
Using natural language processing to predict oral cancer risk with dental pathology notes¬¬. - Yuriy Pylypchuk, Christian Johnson:
Racial and ethnic differences in hospitals' interoperable exchange capabilities among patients receiving fragmented care. - Edward T. Qian, Allison B. McCoy, Jonathan D. Casey, Matthew W. Semler, Todd W. Rice, Adam Wright:
Building and Monitoring an EHR Workflow Embedded Randomized Trial: The ACORN Trial for Antibiotic Choice in Acutely Ill Patients. - Lakshmi Radhakrishnan, Gundolf Schenk, Kathlene Muenzen, Boris Oskotsky, Sharat Israni, Atul J. Butte:
Deidentifying a Corpus of 100 Million Clinical Text Documents for Information Extraction: Lessons Learned. - Naresh Sundar Rajan, Avery Wallace, Andrew S. Kanter:
Exploring the use of a terminology-driven normalization engine as a value-added service provided by a regional health information exchange. - Laila Rasmy, Peter Beshara, Bijun S. Kannadath, Degui Zhi:
Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data. - Jessica M. Ray, Emily Finn, Hollyce Tyrrell, Carlin Aloe, Eliana Perrin, Charles Wood, Dean Miner, Randall Grout, Jérémy Michel, Laura J. Damschroder, Mona Sharifi:
Tailoring Clinical Decision Support and Implementation Strategies: A User Centered Framework. - Irbaz Bin Riaz, Huan He, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mahnoor Islam, Mohammad Hassan Murad, Hongfang Liu:
A Hybrid Approach to Semi-automate the Evaluation of the Certainty of Evidence for Living Systematic Reviews and Meta-analysis. - Safiya Richardson, Katherine L. Dauber-Decker, Jeffrey Solomon, Pradeep Seelamneni, Dee Luo, Sundas Khan, Douglas P. Barnaby, John Chelico, Guang Qiu, Yan Liu, Shreya Sanghani, Devin M. Mann, Renee Pekmezaris, Thomas G. McGinn, Michael Diefenbach:
Nudging Provider Adoption of Clinical Decision Support: Pilot Study of a Behavioral Economic-Inspired Electronic Health Record Tool. - Chelsea Richwine, Christian Johnson, Vaishali Patel:
Disparities in Patient Access to Electronic Health Information: The Role of Providers as Gatekeepers to Patient Portals. - Santiago Romero-Brufau, Adam Goulson, Gayla Poling, Devin McCaslin, Scott Eggers, Colin Driscoll, Kalyan S. Pasupathy, Jeffrey Staab:
Long-term accuracy of a hybrid model to automate triage for patients with dizziness. - Benjamin I. Rosner:
Information Gathering in the EHR: Variability in Current Practice, Early Benchmarks, and the Creation of an Audit-Log Based Automated, Scalable Dashboard for Continuous Assessment and Learning. - Lorenzo A. Rossi, Laura Roberts, Mariel Olivares, Amis Christian, Stefanie Mooney, Denise Morse, Finly Zachariah:
Evaluation of the Impact of a 90-day Mortality Prediction Model Integrated in the EHR for Advanced Care Planning. - Lisa S. Rotenstein, Richard Gitomer, Michael J. Healey, Daniel Horn, David Yut-Chee Ting, Stuart R. Lipsitz, Hojjat Salmasian, David W. Bates:
Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians. - Lisa S. Rotenstein, Nate C. Apathy, Susan Edgman-Levitan, Bruce E. Landon:
Work Patterns of Physicians and Advanced Practice Providers Vary Substantially Across Primary Care Versus Other Specialties. - Alissa L. Russ-Jara, Karen J. Arthur, Nervana Elkhadragy, Julie Diiulio, Laura G. Militello, Amanda P. Ifeachor, Peter A. Glassman, Alan J. Zillich, Michael Weiner:
Evidence for How Clinicians Manage Drug-Drug Interactions in Clinical Practice and Associated Recommendations for Alert Design. - Sameh N. Saleh, Corey Chivers, Jason Lubken, Katherine R. Courtright, Gary E. Weissman, Daniel Herman:
Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care. - Sarvesh Sawant, Maria Molloseau, Kapil Chalil Madathil, Jihad S. Obeid:
A preliminary study evaluating the efficacy of electronic consenting platforms to gather permission for clinical research. - Kayla Schiffer, Chunhua Weng, Yoolim Choi:
Leveraging Hierarchical Concept Relations to Improve Automatic Detection of Off-Label Drug Use in Electronic Health Records Data. - Yijun Shao, Yan Cheng, Stuart J. Nelson, Peter Kokkinos, Edward Zamrini, Ali Ahmed, Qing Zeng-Treitler:
A Novel Hybrid Value-Aware Transformer Architecture for Learning from Longitudinal Clinical Data. - Sumi Sinha, A Jay Holmgren, Julian Hong, Lisa S. Rotenstein:
Ctrl-C: A Cross-Sectional Study of the EHR Usage Patterns of US Oncology Clinicians. - Shikha Sinha, Heather L. Marney, Raghuveer Puttagunta, Aliasgar Z. Chittalia, David K. Vawdrey:
Enabling Patients to Self-report Demographics as a Foundation for Improving Health Equity. - Hannah Slater, Jessica Schwartzman, Colin Walsh:
Predicting Suicide Attempt Risk in Patients with Autism Spectrum Disorder. - Joshua C. Smith, Daniel Park, Jill Whitaker Bey, Michael F. McLemore, Elizabeth Hanchrow, Dax Westerman, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, David J. Cronkite, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Darren Toh, Kevin B. Johnson, David Aronoff, David Carrell:
Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease. - Wenyu Song, Hailiang Huang, Kenneth Mukamal, Adam Wright, David W. Bates:
Genome-wide Association Study of Codeine Prescriptions: An EHR-driven Genomic Study. - Wenyu Song, Luwei Liu, Hannah Rice, Michael Sainlaire, Lillian Min, Linying Zhang, Tien Thai, Min-Jeoung Kang, Mica Curtin-Bowen, Stuart R. Lipsitz, Lipika Samal, Nancy Latham, Patricia C. Dykes:
Using EHR Data and Machine Learning Methods to Predict Fall Injury. - Ali Soroush, Courtney J. Diamond, Haley Zylberberg, Julian Abrams, Chunhua Weng:
A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance. - Henry Ssemaganda, Frederic S. Resnic, Sharon E. Davis, Usha Govindarajulu, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Craig Ramsay, Art Sedrakyan, Lucila Ohno-Machado, Michael E. Matheny:
Disentangling and Characterizing Device Safety Signals and Learning Effects. - J. N. Stroh, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers:
Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling. - Onajia J. Stubblefield, David J. Schlueter, Jacob Keaton, Ariel Williams, Slavina Goleva, Tracey Ferrara, Chenjie Zeng, Huan Mo, Joshua Denny:
Impact of COVID-19 on mental health outcomes in the All of Us Research Program. - Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang:
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. - Jing Su, Nanxin Jin, Zuotan Li, Carla Kettler, Bruce Barton, Greg Puetz, Chi Mai Nguyen, Donna McGrath, Yingjie Chen, Baijian Yang, Vijay Shah, Svetlana Radaeva, Samer Gawrieh, Wanzhu Tu:
The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development. - Lina Sulieman, Jennifer Zhang, Kayla Marginean, Paul A. Harris, Robert J. Carroll:
Assessing Data Quality and Diversity in the All of Us. - Ania Syrowatka, Lipika Samal, John Laurentiev, Luwei Liu, Azza Omer, Wenyu Song, Michael Sainlaire, Frank Yu Chang, Tien Thai, Li Zhou, David W. Bates, Patricia C. Dykes:
Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care. - Whitney L. Teagle, Emily T. Norris, Lavanya Rishishwar, Shashwat Deepali Negar, I King Jordan, Leonardo Mariño-Ramírez:
Comorbidities and Ethnic Health Disparities in the UK Biobank. - Fuchiang (Rich) Tsui, Victor Ruiz, Sachin Grover, Lingyun Shi, Allan F. Simpao, Michael Goldstein:
Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data. - Elizabeth Umberfield, Katy Stewart, Jordan R. Hill, Titus Schleyer:
Exploring Emergency Medicine Physicians' Information Retrieval Practices: A Pilot Study. - Tripura M. Vithala, Anunita Nattam, Danny T. Y. Wu:
Assessing the Readability of Patient Education Materials in Obstetrics and Gynecology. - Liqin Wang, Heekyong Park, Sachin Vallamkonda, Diane L. Seger, Suzanne V. Blackley, Pamela M. Garabedian, Foster R. Goss, Kimberly G. Blumenthal, David W. Bates, Shawn N. Murphy, Li Zhou:
Dynamic Reaction Picklist for Improving Allergy Reaction Documentation: A Usability Study. - Yanran Wang, J. N. Stroh, George Hripcsak, Cecilia C. Low Wang, Julia Wrobel, Caroline Der Nigoghossian, Tellen D. Bennett, David J. Albers:
A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation. - Jared Warren, Michael Dakkak, Ahmed Emara, Jason Cruickshank, David Craygo, Diane Tucker, Gary Calabrese, Jonathan L. Schaffer, Dominic King:
"Synaptic Specialists": Utilizing Computerized Neurocognitive Testing and Data Analysis to Define the True Skills of Esports Athletes. - Jenny L. Weon, Sameh Saleh, Yee Seng Ng, Chenlu Tian, Andrew Quinn:
Design and Curation of Longitudinal Outpatient Data for Predictive Modeling of Iron Deficiency Anemia. - Ariel Williams, David J. Schlueter, Jacob Keaton, Tracey Ferrara, Onajia J. Stubblefield, Kyle Webb, Slavina Goleva, Jian Dai, Chenjie Zeng, Huan Mo, Thomas Cassini, Joshua Denny:
Comparing Effect Sizes in Covid Positive Phenomic Profiles. - W. Kendall Wyatt:
Streamlining Provider and Clerical Tasks into One View: Opioid Toolkit. - Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu:
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. - Shankai Yan, Ling Luo, Li Fang, Daniel Veltri, Andrew J. Oler, Rajarshi Ghosh, Chih-Hsuan Wei, Morgan Similuk, Kai Wang, Zhiyong Lu:
PhenoGene: Disease-gene prioritization using graph embedding on patient phenotypic profiles. - Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean D. Mooney, Bradley A. Malin:
Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. - Yue Yu, Kathryn J. Ruddy, Nan Huo, Nansu Zong, Deirdre Pachman, Christopher G. Chute, Emily R. Pfaff, Andrea Cheville, Guoqian Jiang:
A Comparative Study on the Capability of Real-World Antineoplastic Drug Data Collection by CanMED, ATC and HemOnc. - Alban Zammit, Tina Hernandez-Boussard, Jean Coquet, Ashish Sarraju, Fatima Fatiguez:
Using Deep Learning-based Natural Language Processing to Identify Reasons for Statin Non-Adherence in Patients with Atherosclerotic Cardiovascular Disease. - Zhilong Zhang, Guilan Kong, Shuai Jin, Huiying Zhao:
Identifying Patient Subgroups with Different Mortality Risks in ICU Based on Dynamically Acquired Clinical Data. - Andrew J. Zimolzak, Paarth Kapadia, Daniel R. Murphy, Divvy Upadhyay, Umair Mushtaq, Usman Mir, Alexis Offner, Saritha Korukonda, Riyaa Murugaesh Rekha, Gary Abel, Luke Mounce, Georgios Lyratzopoulos, Hardeep Singh:
Development/Implementation of Cancer Diagnosis Digital Quality Measures. - Maryam Zolnoori, Maxim Topaz:
ADscreen: An Artificial Intelligence-Based Screening Algorithm for Early Identification of Patients with Alzheimer's Disease and Related Dementia. - Xu Zuo, Natalie Gregoriou, Ashok Kumar, Jianfu Li, Jeremy Warner, Yang Ping, Hua Xu:
Extracting Cancer Chemotherapy and Response Information from Clinical Notes following the RECIST Definition.
Poster
- Meredith Abrams, Dongwen Wang, Yunro Chung, Lisa Armitige:
Quantitative Assessment on "Freshness" of Hyperlinked Online Resources for COVID-19. - Fuad Abujarad, Peter Ellis, Chelsea Edwards, Brent C. Vander Wyk, Kristen Kraemer, Richard Marottoli:
Feasibility of a Self-Administrated Digital Elder Abuse Intervention in the Primary Care Setting. - Nripendra D. Acharya, Harry Reyes Nieva, Karthik Natarajan:
Analyzing healthcare-seeking behavior among All of Us enrollees in the era of COVID-19. - Augusto Garcia-Agundez, Carsten Eickhoff:
When BERT Fails - The Limits of EHR Classification. - Chetan V. Aher, Laura Schaefer:
Implementing a Postoperative Checklist: Quality, Safety, and Revenue. - Yasemin Akdas, Laurie L. Novak, Joyce M. Harris, Christopher L. Simpson, Ricardo Trochez, Deonni Stolldorf, Amanda Mixon, Andrew Auerbach, Edmondo Robinson, Amol Rajmane, Irene Dankwa-Mullan, Sunil Kripalani:
Addressing Social Determinants of Health: What is Needed for High Quality Data? - Khuder Alaboud, Abu Saleh Mohammad Mosa, Md Kamruz Zaman Rana, Gillian Bartlett-Esquilan:
Machine Learning Application of Long-term Antidepressants Prescribing Prediction Using Electronic Health Record Data. - Dan Albert, Dario A. Giuse, Asli Ozdas Weitkamp, Adam Wright:
Building a Pipeline for Clinical Alerts Generated via Natural Language Processing. - Gregory L. Alexander:
Improving Quality of Care in U.S. Nursing Homes: Recommendations of the National Academy of Science Engineering and Medicine. - Mohammed Alhajji, Abdullah H. Alzeer, Saad Alyahya, Sara Alsuhaibani, Sarah Alkhudair, Raghad Aldhahiri, Ahmed Alhomaid, Dalal Alali, Abdulelah Alothman, Eman Alkhulaifi, Mohammed Alnashar, Abdulrahman Alalmaee, Ibrahem Aljenaidel, Reem Alshehri, Fahad Alsaawi:
A National Nudge Study of Different Framed Message to Increase COVID-19 Vaccine Uptake in Saudi Arabia: A Randomized Controlled Trail. - Mhd Wael Alrifai, Mary Eva Dye, Theresa Scott, Allison B. McCoy, Patti Runyan, Daniel J. France:
A Real-time Model for Neonatal Provider Workload Measurement. - Abdullah H. Alzeer, Ahmed Alhomaid, Abdulaziz Aljandal, Norah Alshaikh Mubarak, Raghad Alabdullatif, Walaa Alnasser, Fahad Alsaawi:
An Open-Source Tool to Support Clinical Decision for Patient Transportation in Rural Areas: A Novel Simulation Approach. - Tara V. Anand, Marc A. Suchard, George Hripcsak:
Reproducibility in comparative effectiveness and safety of ACE inhibitors and thiazides for modified monotherapy treatment criteria. - James E. Andrews, Janelle Applequist, Heather L. Ward, Christina Eldredge:
i-GENIS: A Proposed Framework for Developing Individualized Genetic Information Seeking Skills Interventions. - Aria Anvar, James D. Berry, Ernest Fraenkel, Indu Navar, Guillermo A. Cecchi, Raquel Norel:
ALS community pressing issues: lessons from a survey. - Nate C. Apathy, Lindsay Sanner, Andrew Cistola, Robert W. Hurley, Meredith Adams, Christopher A. Harle, Olena Mazurenko:
Assessing the Use of a Clinical Decision Support Tool for Pain Care Information in Primary Care. - Adriana Arcia, Daniel Chen, Katherine South:
Browser-based Infographic Tailoring Self-service Interface (BITSI). - Layla Aref, Lisa Bastarache, Jake Hughey:
The PheRS R package: Phenotype risk score generation and analysis tool using electronic health record data. - Danai Aristeridou, Veena Calambur, Britney Mazzetta, Carmine Colavecchia, Saira Haque, Mohammad Ateya:
Validation of a Two-year Risk Prediction Model for Undiagnosed Atrial Fibrillation Using National Electronic Health Record Data. - Sara Armson, Laura Marcial, Jacqueline Bagwell, Daniel J. Vreeman:
Enhancing Value Set Maintenance for Transferring Harmonized Laboratory Data from Health Care Institutions to Registries. - Ibraheim Ayub, Wesley Peng, Carol Mayer, Jennifer Nguyen, Priya Radhakrishnan:
Implementing an Electronic Screening and Data Collection Framework to Tackle Social Determinants of Health across a Hospital Network. - Tamara J. Bahr, James G. Wright, Aviv Shachak:
An exploration of the Associations between Work Related Technology Usage Outside of Clinical Hours: A Report on Preliminary Data from a Pilot Study. - Benjamin W. Barrett, Samuel L. Battalio, Ivelina Arnaoudova, Bonnie Spring:
Geospatial Factors Associated with Participant Outcomes in an mHealth Behavior Change Intervention. - Einas M. Batarseh, Sashank Kaushik:
Leverage EMR to Change Practice Patterns and Streamline Non-EMR Workflows - An Interfacility Transfer Process Improvement Effort with Far Reaching Implications. - Robert A. Becker, Allison B. McCoy, Colin G. Walsh:
Prospective Validation of a Suicide Attempt Risk Model in Transgender Patients. - Bayley Bennett, Hyunjung Shin, Swaminathan Kandaswamy, Evan Orenstein, Edwin Ray:
Clinical Decision Support to Reduce Nephrotoxic Medication-Associated Acute Kidney Injury in Non-Critically Ill Hospitalized Children. - Sean Bernstein, Matthew T. Cerasale, Cheng-Kai Kao, Ben Petro:
AutoDX: Hospitalist Pilot to Further Reduce Coding Queries. - Shamsi Daneshvari Berry, Heather J. Edgar, Theresa McGoff:
Applying Natural Language Processing to Medical Examiner Notes. - Joao H. Bettencourt-Silva, Natalia Mulligan, Francesca Bonin, Pierpaolo Tommasi, Alessandra Pascale, Vanessa López:
Literature Knowledge Graphs for Risk Modeling: a use case on Diabetes. - Jonathan M. Beus, Edwin Ray, Sarah Thompson, Ryan Birmingham, Brad Cundiff, Mike Malto, Kevin Duncan, Dileep Gunda, Rishikesan Kamaleswaran, Evan Orenstein:
Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. - Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Evaluating Fairness of Synthetic Healthcare Data Models. - Shwetha Bindhu, Danny Wu, Catherine Xu, Tripura Vithala:
Developing a Note Template to Improve the Understanding and Actionability of Clinical Notes for Diabetic Patients. - Katherine Blondon, Frederic Baroz:
Supporting Interprofessional Collaboration through Clinical Documentation: An Exploration of Doctors' and Nurses' Reasoning Processes. - Christine T. Boerman, Kathleen Fear:
A Multidisciplinary Approach to User-Centered Design: Optimizing Reporting of Stroke Quality Metrics. - Tanupat Boonchalermvichien, Sanya Bathla Taneja, Sandra Clark Karcher, Richard D. Boyce:
Standardizing Natural Products in Adverse Event Reports with Siamese Recurrent Networks. - Durga S. Borkar, Meghan Hatfield, Thaihien Nguyen, Richard Chapman, Theodore Leng, Michael Mbagwu, Matthew Roe, Shrujal Baxi, Aracelis Z. Torres:
Understanding Mechanisms of Missingness for Unspecified Diabetic Retinopathy Disease Severity in the Electronic Health Record: An IRIS® Registry Analysis. - Katie R. Bradwell, Richard A. Moffitt:
Harmonizing Units and Quantitative Values in a Nationally-Pooled Electronic Health Record Dataset. - Ian R. Braun, Pablo Alarcón Moreno, Emily Hartley, Daniel Olson, Nirupama Benis, Ronald Cornet, Mark D. Wilkinson, Ramona L. Walls:
Leveraging Biolink for Interoperability between Semantic Models. - Jennifer K. Briggs, J. N. Stroh, Tellen D. Bennett, Soojin Park, David J. Albers, Brandon Foreman:
Optimizing Strategies of Pressure Reactivity Index and Optimal Cerebral Perfusion Pressure Identification for Cerebral Autoregulatory-Guided Clinical Decision Support. - Sarah H. Brown, Michelle Griffith, Allison B. McCoy, Sara N. Horst:
The Impact of Geoeconomics and Health Literacy on Telehealth Success. - Melissa S. Van Cain, R. Matthew Atkins:
Medication Reconciliation Module Use Leads to Earlier Discharge Time. - Aize Cao, Arielle M. Fisher, Russell Poland, Todd Gary:
Developing a Risk Prediction Model for 30-Day Readmission after Hospitalization from COVID-19. - Bradley Carlson, Michael Watkins, Mei Li, Brian Furner, Ellen Cohen, Samuel L. Volchenboum:
Increasing interoperability of the Pediatric Cancer Data Commons data model by mapping to common data models. - Reggie Casanova-Perez, Wanda Pratt, Andrea L. Hartzler:
Queering the EHR: Uncovering the embedded cisheteronormativity in health information technology. - Sena Chae, Karen Dunn Lopez, Barbara Rakel:
A First Step to Uncovering Hidden Symptoms and in Patients with Acute Myeloid Leukemia using Natural Language Processing. - James Champion, Eric Prud'hommeaux, David Booth, Gaurav Vaidya, James P. Balhoff, Deepak K. Sharma, Guoqian Jiang, Emily R. Pfaff:
Maximizing Interoperability, Enriching EHR Data: Transforming HL7 FHIR Data to RDF Using the FHIR RDF Playground. - Alyssa Chen, Benjamin Wang, Sherry Parker, Ashish Chowdary, Katherine Flannery, Christoph U. Lehmann, Mujeeb Basit:
Addressing Medical Student Exposure to the Field of Clinical Informatics. - Annie T. Chen, Gauri Nayak, Mary Grace Asirot, Zoey Gray, Anne Turner:
Visual Interview Elicitation Using Online Tools in the Context of Dementia: Preliminary Review and Recommendations. - Jinying Chen, Sarah L. Cutrona, Ajay Dharod, Aaron Bridges, Adam Moses, Brian Ostasiewski, Kristie Foley, Thomas K. Houston:
Characterizing Clinical Activity Patterns by Topics Inferred from Electronic Health Record Audit Logs. - Erika R. Cheng, Ahmet Cengiz, Zina Ben-Miled:
Predicting Body Mass Index in Early Childhood Using Data from the First 1, 000 Days. - Yan Cheng, Ali Ahmed, Edward Zamrini, Yijun Shao, Qing Zeng-Treitler:
Medication-Wide Association Study Plus (MWAS+): A New Approach to Drug Repurposing. - Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Emily White Vangompel, Safwan Gaznabi, Izabella Szum, Melissa Morton-Jost, Urmila Ravichandran, Tovah Klein, Karen A. Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav Shah:
Continuous Remote Patient Monitoring: Evaluation of the Cascade Heart Failure Study Phases 1 and 2. - Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Monika Krezalek, Klara Brugger, Emily White Vangompel, Izabella Szum, Melissa Morton-Jost, Urmila Ravichandran, Karen A. Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav Shah:
Transferring Process Knowledge and Protocol Structure in a Continuous Remote Patient Monitoring Program: Heart Failure to Ileostomy Clinical Use Case Study. - Claire E. Child, Maddalena Di Piazza, Mikayla Minton, Jose Ugas, Avry Freaney, Marion Paetznick, Soraya Bailey, Mary Beth Brown:
A Mixed Methods User Needs Assessment of Pulse Oximetry Monitoring During Exercise for Interstitial Lung Disease. - Susan Chimonas, Allison Lipitz-Snyderman, Sham Mailankody, Anjua Kriplani, Leonard Saltz, Smita Sihag, Carlyn Rose Tan, Maria Widmar, Marjorie Zauderer, Benjamin Roman:
Telemedicine Second Opinions: A Promising Mechanism for Expanding Equitable Access to Subspecialty Oncology Expertise. - Sancharee Hom Chowdhury, Jamie Podell, Peter Hu, Neeraj Badjatia, Lujie Chen:
Temporal Structure of Daily Paroxysmal Sympathetic Hyperactivity Assessment Measure (PSH-AM) among Neurocritical Patients with Traumatic Brain Injury. - Andrew Cooper, Jeffrey A. Linder, David Burstein:
Physicians' Electronic Health Record Use Styles and Patient Experience. - Lauren Cuppy, Tami Crawford, Nikunja Swain, Alexander V. Alekseyenko:
Building Determinants of Health Ontology of Mappable Elements (DHOME). - Sofia Z. Dard, James Champion, Robert L. Bradford, Adam M. Lee, Emily R. Pfaff:
HIPAA Safe Harbor (HuSH) Common Data Models for Education. - Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts:
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. - Jessica A. Davila:
Integrating Clinical Informatics into Undergraduate Medical Education Curriculum: Innovations and Challenges. - Sharon E. Davis, Henry Ssemaganda, Jejo Koola, Jialin Mao, Dax M. Westerman, Theodore Speroff, Usha Govindarajulu, Craig Ramsay, Lucila Ohno-Machado, Frederic S. Resnic, Michael E. Matheny:
A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation. - Amanda L. Davis, Shoshanna Weiss, Sean Haley, Elizabeth Crabtree:
Assessment of MUSC's Culture of Evidence-based Practice for Ordering Providers. - Renuk DeAlmeida, Dinuk DeAlmeida, Sreekanth Sreekumar, Yanshan Wang:
A Pilot Study of Automated Approaches to Translate Health Illiterate Language. - Poli Debi, David R. Kaufman, Yalini Senathirajah, Elizabeth M. Borycki, André Kushniruk, Kenrick Cato, Pia Daniel, Patricia Roblin, Bonnie Arquilla:
Impact of COVID-19 on Infection Control in a Small Independent Hospital. - Grant DeLong, Henry Philofsky, James Elmore, Stacey Shriner, Sara Hunt, Casey Cauthorn, Elliot Mitchell, David K. Vawdrey, Abdul Tariq:
SentenCy: An Open-source Tool for Improving Biomedical Named Entity Recognition. - Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. - Courtney J. Diamond, Rachel Y. Lee, Jonathan Elias, Haomiao Jia, Erika L. Abramson, Jessica S. Ancker, Susan B. Bostwick, Kenrick Cato, Sarah Collins Rossetti:
Clinical Staff EHR Usability and Satisfaction: Preliminary Results of A Multi-Site, Pre-Post Implementation Evaluation. - David A. Dorr, Nicole Gray Weiskopf, Michelle Bobo, MJ Dunne, Peijan Han, Jessica Kim, V. G. Vinod Vydiswaran:
Validating Complex Phenotypes: A Structured Approach for Dementia. - Kylie K. Dougherty, Mollie Hobensack, Suzanne Bakken:
Health Information Technology Usability Methods Leveraged in Africa: A Scoping Review. - Brian J. Douthit, Katherine Bashaw, Kimberly Gerant, Thomas Reese, Adam Wright, Allison B. McCoy:
Quality Versus Quantity: Assessing the Impact of Nursing Documentation on Preventing Hospital Acquired Pressure Injuries. - Lauren Eisner, Sullafa Kadura, Nicole Willnow, Jennifer Lin, Alexander Poulakis, Oskar Wielgus, Ian Smith:
Leveraging the Electronic Health Record to Increase Sleep-Friendly Medication Schedules in the Inpatient Setting. - Christina Eldredge, James E. Andrews, Claudia Cooperman:
Launch of an Interdisciplinary Health Informatics Concentration within a Bachelor of Science of Information Science Program: Lessons Learned and Future Directions. - Ahmed Elhussein, Gamze Gürsoy:
A consortium blockchain for secure, unified, and efficient sharing of EHR and genomics data. - Melani Ellison, Jamie Abudu-Solo, Meghan Reading Turchioe, Nathan Louras, Leah Shafran Topaz, Erik Blutinger, Christina McGinnis, Brock Daniels, Ruth Masterson Creber:
Systematic Review of Mobile Integrated Health interventions to facilitate telehealth usage among older adults. - Ahmed K. Emara, Assem Sultan, Dominic King, Jonathan L. Schaffer, Xuankang Pan, Thomas Kuivila, Ryan Goodwin:
Virtual Visits in Pediatric Orthopaedic Conditions: An Evaluation of Patient Satisfaction and Areas of Improvement Compared to In-Person Visits. - Hannah Eyre, Scott L. DuVall, Olga V. Patterson:
From Rules to Machine Learning: Upgrading Aging Clinical NLP Systems. - Hussein Ezzeldin, Steven Anderson, Abhishek Pandey, Lance Jones, Aaron Walerysiak, Jay Nakashima:
Enhancing Biologics Adverse Event Surveillance via Scalable, FHIR-based Infrastructure: Proof of Concept. - Elaine M. Fan, Teresa Taft, Damian Borbolla, Elizabeth Anne Rudd, Emerson P. Borsato, Ryan Cornia, Phillip B. Warner, David Shields, Pallavi Ranade-Kharkar, Kensaku Kawamoto, Carole H. Stipelman, Chuck Norlin, Jennifer Goldman-Luthy, Guilherme Del Fiol:
Availability of Health Information Exchange Data for Children with Special Health Care Needs through a SMART on FHIR App. - Theodore C. Feldman, Nathanael Fillmore, Nhan V. Do, Mary Brophy, David Kaplan, Albert Lin:
Phenotyping Hepatic Immune-Related Adverse Events After Immune Checkpoint Inhibitor Therapy. - Soraya Fereydooni:
Identifying patient's country of origin with modified spaCy NLP models. - Sara Flash, Denise Goldsmith, Patricia Brennan:
Mapping Shopper Movement in an Immersive Virtual Reality Grocery Store. - Sara Flash, Denise Goldsmith:
Preparing Study Participants to Engage in Immersive Virtual Reality. - Jorge A. Sulca Flores, Robert S. Rudin, Dinah Foer, Savanna Plombon, Jessica Sousa, Jorge Alberto Rodriguez, Anuj K. Dalal:
Analysis of Call-Back Requests for an ePRO Asthma Symptom Monitoring App Integrated into Primary Care. - Dinah Foer, Vi Nguyen, Li Zhou, David W. Bates, David M. Rubins:
Utilization of Electronic Health Record Gender Demographic Fields: A Metadata Analysis. - Marva Foster, Mikhail Higgins, Daniel Sturgeon, Kierstin Hederstedt, Rebecca Lamkin, Brian Sullivan, Westyn Branch-Elliman, Hillary J. Mull:
Development and Validation of an Adverse Event Surveillance Algorithm for Interventional Radiology. - Marshall J. Frieden, Alexander Fixler, Blake Oliaro, Andrea Brucculeri, Jackson Wilde, Jason Hill:
Improving Sepsis Management by Evaluating the User Interface of a Novel Suite of Electronic Health Record Support Tools. - Stephanie O. Frisch, Holli DeVon, Jessica Zegre-Hemsey, Harry Hochheiser, Ervin Sejdic:
Emergency Severity Index Scores Have Different Emergency Department Length of Stays. - Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn:
Quality Assessment of Functional Status Documentation in EHR Across Institutions. - Jakub Furmaga, Jonathan Reeder, Robert W. Turer, Bhaskar Thakur, Christoph U. Lehmann, Ellen O'Connell, Samuel A. McDonald:
Computer Aided Documentation: Better Than Dictation. - Teja Ganta, Nicholas Genes, Benjamin S. Glicksberg, Rosamond Rhodes, Robbie Freeman, Bruce Darrow:
Defining an Ethical Relationship with Artificial Intelligence at a Large Academic Health System. - Teja Ganta, Stephanie Lehrman, Rachel Pappalardo, Irena Durkovic, Shira Lichtman, Damon Czarnecki, Brooke Tsembelis, Mark Liu, Joseph Kannry, Robbie Freeman, Mirhandi Arash Kia, Prathamesh Parchure, Hsin-Hui Huang, Alla Keyzner, Madhu Mazumdar, Aarti Bhardwaj, Cardinale Smith:
Oncologist Opinion and Use of a Machine Learning-Powered Clinical Decision Support System to Aid Serious Illness Conversations for Lung Cancer Patients. - Andy Gao, Danny Wu, Gargi Rajput:
Developing a Data Pipeline to Facilitate the Understanding of the Interrelationships Between Humans and Technology in Smart Buildings. - Catherine A. Gao, Plamena Powla, Meghan Hutch, Oluwatosin Akinsola, Yuan Luo:
Evaluation of ICU Severity Scores and Mortality Prediction by Race and Ethnicity: A Machine Learning Approach Using MIMIC-IV. - Lisa A. Gawronski, Gail M. Keenan, Hwayoung Cho:
Technology Prevalence in Childhood by Parent Reports: An Opportunity for Obesity Prevention. - Maya T. Gerstein, Alaina Fournier, Edwin A. Lomotan, Mary Nix:
Examining Stakeholder Perspectives on the Development, Implementation, and Measurement of Clinical Decision Support-Based Interventions for Shared Decision-Making. - Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar:
Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. - Brianna Glover, Nicole Hames, Anthony Cooley, Christy Bryant, Evan Orenstein, Swaminathan Kandaswamy:
Utilizing the Electronic Health Record to Minimize Inpatient Sleep Disruptions. - Aldren B. Gonzales, Marianne Fabian-Charlet, Rommel Bernabe Jr., Maria Lourdes Bacud, Iris Thiele Isip-Tan:
Formative Evaluation of an SMS-Based Information Service for Maternal Health Program in a Geographically Isolated Area in the Philippines. - Aldren B. Gonzales, Razel Custodio, Marie Carmela M. Lapitan, Mary Ann Ladia:
Understanding mHealth Implementation in the Philippines During the COVID-19 Pandemic: Perspective of Local Experts. - Aldren B. Gonzales, Razel Custodio, Marie Carmela Lapitan, Mary Ann Ladia:
Quality evaluation of mHealth technologies for COVID-19 using the Mobile Application Rating Scale (MARS): The Philippine Perspective. - Monika E. Grabowska, Sara L. Van Driest, Patrick Wu, Wei-Qi Wei:
Developing and Mapping Pediatric Phecodes (Phecode-Peds). - Ashley C. Griffin, Lu He, Anthony Sunjaya, Andrew King, Zubin Khan, Brian J. Douthit, Martin Nwadiugwu, Vignesh Subbian, Mark Braunstein, Viet Nguyen, Charles Jaffe, Titus Schleyer:
Assessment of Real-World Health Applications on FHIR. - Pallavi Gupta, Laurel Despins, David Heise, Jamal Saied-Walker, Ruhan Yi, Marjorie Skubic, Grant J. Scott:
A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. - Shubhra Gupta, Hanniel Shih, Danny Wu:
Developing a Data Exploratory Tool to Visualize and Analyze User-corrected Pediatric Weight Records. - Allison J. Hare, Jacqueline Soegaard, Peter E. Gabriel, Srinath Adusumalli, C. William Hanson III:
Training Digital Natives to Transform Healthcare: A Tiered Model for Integrating Health Informatics in Undergraduate Medical Education. - Nehal Hassan, Robert Slight, Daniel Weiand, Graham Morgan, Akke Vellinga, Hazem Mamdouh, Sarah P. Slight:
AI-based Sepsis prediction in Surgical Practice; Lessons learnt from Model Development. - Lauren Hatcher, Allison B. McCoy, Hannah Marmor, Landon Fike, Kim L. Sandler:
Incomplete Smoking History Data Leads to Unknown Lung Cancer Screening Eligibility Status, and a Potential Solution. - Huan He, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu, Mahnoor Islam:
Real-time Exploration of Pairwise Meta-analysis Results by Applying Serverless Architecture Design. - Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stéphane M. Meystre:
Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes. - Paul M. Heider, Jihad S. Obeid, Leslie Lenert:
Implicit Provider Bias as Assessed through Explicit Mentions of Pejorative and Laudative Terms in MIMIC-III. - Patrick Heindel, Jessica Feliz, Abena Appah-Sampong, Christian Cerecedo-Lopez, Elizabeth Yates, Tanujit Dey, Mohamad Hussain:
Modeling to Improve Identification of Peripheral Artery Disease Cohorts from Administrative Data. - Drew Herbert, Malaika Gallimore, Alisha Johnson, Pawena Narasri, Katrina Boles, Chuka Emezue, Blaine Reeder:
Usability Inspection of the MAISIE mobile CDS app. - Katelyn N. Hettinger, Margie Snyder, Alissa Russ-Jara:
A formative usability evaluation of a health information exchange prototype for use in community pharmacies. - Robin T. Higashi, Bella Etingen, Suzanne Cole, John Mansour, Jessica Lee, Timothy P. Hogan:
Provider and Older Patient Responses to Rapid Expansion of Telehealth Care in an Urban Cancer Center. - Brent D. Hill, Kristine W. Lynch, Scott L. DuVall:
Manual Chart Review Train and Inter-Annotator Agreement Plan for a COVID-19 Disease Association Study. - James M. Hitt, Robert Lee, Peter L. Elkin:
Quantifying the Perioperative Risks for Patients on Buprenorphine for Substance Use Disorder Using a Large National Database. - Felix Holl, Jennifer Kircher, Felix Sukums, Walter Swoboda:
Comparison of the digital health strategies of Tanzania and Germany: First results of a comparative policy analysis. - Hyo Jung Hong:
A Low-Touch High-Impact Digital Health Startup Incubation Model at an Academic Institution. - Hyo Jung Hong, Cliff Schmiesing:
An Effective EHR Order Set Review Process at an Academic Medical Center. - Chelsea Howland, Jo-Ana Chase, Allison Anbari, Malaika Gallimore, Chuka Emezue, Drew Herbert, Katrina Boles, Knoo Lee, LeeAnne B. Sherwin, Pawena Narasri, Rebecca Graves, Blaine Reeder:
Systematic Review of Consumer Wearables for Sedentary Behavior. - Yuansi Hu, Ling Zheng:
Predicting ICU Length of Stay for Patients with Diabetes Using Machine Learning and Clinical Notes. - Yining Hua, Vi Nguyen, Liqin Wang, Dinah Foer, Li Zhou:
Identifying Transgender and Gender Diverse Individuals in Electronic Health Records: A Context-aware Natural Language Processing Approach. - Hu T. Huang, Foad Green, Rayna Matsuno, Joshua Loving:
Enhanced Clinical Interpretability of Feature Selection via Latent Component-based Variable Clustering. - Kuo-Ting Tim Huang, Sneha Anil Kumar Vaidhyam:
Applying Design Thinking to Raising Awareness of Infant Mortality: A Case Study of Rural Communities in Indiana. - Gyumin Hwang, Yong Choi:
An Analysis of Electronic Health Information Privacy in Older Adults and Caregivers: Results from a National Survey. - Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. - Bradley E. Iott, Julia Adler-Milstein, Laura M. Gottlieb, Matthew S. Pantell:
Rates of Documentation and Review of Patients' Social Needs in the EHR. - Victor Castano Iraheta, Jennifer Withall, Jeremy Harper, Salvatore Crusco, Gregory Alexander, Fang Liu, Sarah Collins Rossetti, Kenrick Cato:
Evaluation of Vital Sign Concept Sets within N3C. - M. Sriram Iyengar, Stephen Rains, Kacey Ernst, Nirav C. Merchant, Tracy Crane, Paulina Colombo, Maliaca Oxnam:
AZCOVIDTXT: Winning the Battle Against COVID-19 One Text at a Time. - Jeehoon Jang, Chenyang Zheng, Yinzhou Wang, Weichao Yuwen, Chuhan Hou:
Usability Test of Heart Failure Resource Modules in Caring of Caregivers Online (COCO) Mobile Application. - Samuel R. Jean-Baptiste, Ha Pham, Allison B. McCoy, Adam Wright, Eric Shinohara:
Disparities in Patient Portal Use in Radiotherapy Treated Patients in the Era of COVID-19. - Robert A. Jenders, Peter J. Haug, Klaus-Peter Adlassnig:
Addressing the Curly Braces Problem: Implementing Health Level Seven Fast Healthcare Interoperability Resources (FHIR) as a Standard Data Model for the Arden Syntax. - Cody Johnson, Alex Cheng, Rhonda Kost:
Streamlined Paper to Digital Survey Scanning and Answer Recognition Using Optical Mark Recognition and REDCap. - Venkata S. Jonnakuti, Zhandong Liu, Hari Krishna Yalamanchili:
C/PAS-BERT: A Novel Attention-Based Deep Learning Approach to Identify and Characterize Cleavage and Polyadenylation Sites. - Mugdha Joshi, Arjun Gokhale, Kelly Darmawan, Anoosha Moturu, Anna Pendrey, Nicholas Schwartz, Lauren Wozniak, Garrison Carlos, Austin Wilson, Gretchen Brown, Cliff Schmiesing:
Improving Ease and Fidelity of Identifying the Correct Patient Care Provider. - Adiebonye E. Jumbo, Mohammad A. Faysel, June Kume, Fang Luo:
A Student Satisfaction Survey Analysis for Graduate-level Medical Informatics Internships. - Julie Karam, Ece Uzun:
Machine Learning Approach to Stratify Breast Cancer Subtypes and Identify Potential Biomarkers. - Uri Kartoun, Shaan Khurshid, BC Kwon, Aniruddh P. Patel, Akl Fahed, Puneet Batra, Anthony A. Philippakis, Steven A. Lubitz, Amit V. Khera, Patrick T. Ellinor, Vibha Anand, Kenney Ng:
Assessing the Robustness and Internal Consistency of the Pooled Cohort Equations. - Sentayehu Kassa, Brett Moran:
Tracking In-Basket Messages to Improve Physician Satisfaction & Reduce Burnout , Sentayehu Kassa, M.D Brett Moran, MD. - Sadaf Kazi, Tracy Kim, Julia Sheehan, Ronald E. Romero Barrientos, Raliat Igew, Kristen E. Miller:
Emerging Trends in Health Information Technology: Results from a Horizon Scan. - Emmanuelle Kempf, Morgan Vaterkowski, Nicolas Griffon, Damien Leprovost, Stéphane Bréant, Patricia Serre, Alexandre Mouchet, Rafael Gozlan, Bastien Rance, Gilles Chatellier, Ali Bellamine, Marie Frank, Martin Hilka, Julien Guerin, Xavier Tannier, Alain Livartowski, Christel Daniel:
How to improve cancer Patients ENrollment within clinical trials from rEal Life databases using the OMOP oncology Extension: the French PENELOPE initiative. - Ellen K. Kerns, Russell J. McCulloh:
Use and Potential Impact of an Antibiogram-Customized Antibiotic Selection App Deployed as Part of a National Quality Improvement (QI) Project. - Elaine C. Khoong, Jennifer Juarez Yoc, Malini Nijagal, Misa Perron-Burdick, Ben Li, Faviola Garcia, Courtney R. Lyles:
Patient and Clinical Team Support for Video Visit Telemedicine Implementation in a Safety Net Obstetrics Clinic. - Aeri Kim, Eunjoo Jeon, Hana Lee, Hyunsook Heo, Jisoo Lee, Kyungmi Woo:
Gleaning Prediabetic Risk and Associated Factors from Homecare Nursing Notes Using Natural Language Processing. - Abraham Kim, Danny T. Y. Wu:
Risk Factors and Algorithms to Predict Return to Play in Sports Medicine: A Preliminary Systematic Scoping Review. - Youngjun Kim, Yunchen Yang, Timmy O'Connell, Meng Ma, Xiang Zhou, Rong Chen:
Deep Learning-based Rare Disease Patient Classification Using Phenotypes. - Mihui Kim, Sangwoo Park, Changhwan Kim, Mona Choi:
Risk Prediction Models for Mortality using Nursing Records in Intensive Care Patients: A Systematic Review. - Julia So Young Kim, Nelson Shen, Iman Kassam, Navi Boparai, Damian Jankowicz, Gillian Strudwick:
Sustaining Connections Amidst COVID-19: Implementation of an Inpatient Mental Health Tablet Program. - Jiyeong Kim, Yong Choi:
What Are the Mental Health Needs of Caregivers of Alzheimer's Disease and Related Dementias (ADRD) Patients during the COVID-19 Pandemic? A Natural Language Processing Analysis of Online Caregiver Discussion Forum. - Jeffrey G. Klann, Zachary H. Strasser, Chris J. Kennedy, Meghan Hutch, John H. Holmes, Gabriel A. Brat, Shawn N. Murphy:
Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions. - Jeffrey G. Klann, Michael Mendis, Kevin Bui, Griffin M. Weber, Diane Keogh, Shawn N. Murphy:
Informatics for Integrating Biology and the Bedside (i2b2) in 2022: Single Sign On and Synthetic Data. - Alexandra Kogan, Mor Peleg, Samson W. Tu:
Extending FHIR Timing Representation for Expressing Monitoring Recommendations. - Theresa A. Koleck, Susan Grayson, Katelyn Leggio, Alex Conway, Caitlin N. Dreisbach:
Symptom Phenotypes and Predictors of Unrelieved Symptoms in Individuals with Chronic Conditions: A Cross-sectional Analysis of the All of Us Research Program Survey Data. - Ha Kyung Kong, Ruijia Zhu, Audrey Zhixin Lu, Mingao He, Weichao Yuwen:
The Effects of Data Visualization on User Perceptions of a Health Chatbot. - Kaitlyn Konieczny, Jorge Alberto Rodriguez, Robert S. Rudin, Savanna Plombon, Pamela M. Garabedian, Maria Edelen, Alyssa Lam, Anuj K. Dalal:
Augmenting an Electronic Chart Review Tool for Post-Discharge Symptom Monitoring and Adverse Event Determination. - Kaitlyn Konieczny, Daniel Motta-Calderon, Alyssa Lam, Savanna Plombon, Stuart R. Lipsitz, Jeffrey L. Schnipper, Anuj K. Dalal:
Can E-Triggers Identify Cases of Diagnostic Error Hospitalized Patients? Analysis of Two High-Risk Cohorts. - Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh:
Identifying Diagnostic Opportunities Using Clinical Trajectories. - Mikhail Kovalenko, Mihail Popescu:
Exploration of Disease Pathways Using Simple Graph Comparison Methods. - Tienhsiung Ku, Hao-Chun Chang, Ming-tse Tsai, Chih-Wei Chiu, Kai-Chieh Yang:
Personalized Postoperative Pain Management using Heart Rate Variability: A Case Study. - Brenda Kulhanek, Deborah Lewis:
A Self-Guided Educational Program Based on Informatics Competency Self-Assessment. - Craig E. Kuziemsky, Linda W. P. Peute, Christian Nøhr:
Ethical Review of Human and Organizational Factor Research in the Context of AMIA's Code of Professional and Ethical Conduct. - Masha Kuznetsova, Nate C. Apathy, A Jay Holmgren:
Adoption of Advanced IT Functions by Critical Access Hospitals as a Function of Proximity to a Regional Extension Center. - David V. LaBorde, Christina Alvaro, Kassi Goodman:
Real-Time Performance Measure Driven Suicide Prevention Care Monitoring and Care Delivery Enhancement in the U.S. Department of Veterans Affairs. - Alyssa Lam, Kaitlyn Konieczny, Savanna Plombon, Anuj K. Dalal, Marie Holkenbrink:
Preliminary Performance of a Real-time EHR-embedded Predictive Algorithm for Diagnostic Error in ICU Patients. - John Laurentiev, Avery Pullman, Wenyu Song, Ania Syrowatka, Michael Sainlaire, Frank Yu Chang, Luwei Liu, Li Zhou, Patricia C. Dykes:
Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes. - John Laurentiev, Mufaddal Mahesri, Lily Bessette, Cassandra York, Heidi Zakoul, Su Been Lee, Dae Hyun Kim, Li Zhou, Joshua Lin:
Evaluation of a Machine Learning Approach to Identify ADL Impairment in Clinical Notes of People with Dementia. - Rachel Y. Lee, Sarah Collins Rossetti, Kenrick Cato:
Differences in Frequencies of Nursing Flowsheet Documentation by Patients' Primary Language. - Adam M. Lee, Paul Kovach, James Champion, Patrick Conway, Emily R. Pfaff:
Relational FHIR: Converting FHIR's Hierarchal Schema. - Dominick J. Lemas, Braeden Lewis, Simon Frank, Lauren Wright, Marina Magalhães, Ke Xu, Xinsong Du, Leslie Parker, Joy Elensi, Lindsay Thompson, William Hogan, Modave Francois:
Machine learning and natural language processing for classifying infant feeding status from clinical notes. - Howard Philip Levy, Krishnaj Gourab, Sara Evans, Neil Siegel:
Information Blocking Rule Adherence: Implementation, Special Considerations, and Monitoring in Two Large Baltimore Area Healthcare Systems. - Zehan Li, Jules Bergmann, James C. Fackler, Harold P. Lehmann:
Effects of Information Presentation Modalities on Antibiotic Reassessment Decision-Making in PICU: A Comparison Study. - Yanwei Li, Wei-Qi Wei, Juan Zhao, Chao Yan, Henry H. Ong:
Evaluating Phenotype Classification Using Synthesized Online Content. - Yiming Li, Qiang Wei, Yujia Zhou, Hua Xu:
Fast Textual Corpus Retrieval from Electronic Health Records using PDF Parser and TxtSplit Tools. - Chenyu Li, Israel Dilan-Pantojas, Shyam Visweswaran, Michael J. Becich, Xia Jiang, Richard D. Boyce:
Developing and Evaluation of Computational Phenotypes of Metastatic Breast Cancer Using All of Us Data. - Jodell E. Linder, Ran Tao, Ni Ketut Wilmayani, Marc S. Williams, Josh F. Peterson:
High-throughput assessment of genomic outcomes: development and validation of the HI-TAG knowledgebase. - Allison Lipitz-Snyderman, Susan Chimonas, Gilad Kuperman:
Framework for Assessing the Impact of Digital Technologies on Value and Outcomes in Healthcare. - Aneta Lisowska, Shiri Lavy, Szymon Wilk, Mor Peleg:
How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation. - Robin Littlejohn, Kristen E. Miller, Sadaf Kazi, Christopher Washington, Zach McGill, Doug DeBold, Emma Eikermann, Shrey Mathur, Joseph Blumenthal, Shrenikkumar Shah, Christopher W. Bonk, Ronald E. Romero Barrientos, Aaron Z. Hettinger, Roland E. Gamache:
Opioid Tapering Application Pilot: Strategies, Facilitators, and Barriers to Implementation of a Clinical Decision Support Solution for Chronic Pain Management. - Robin Littlejohn, Christopher W. Bonk, Laura Schubel, Willie Horne, Kristina Mobley, Joel McAlduff, Kristen E. Miller:
Signaling Sepsis Clinical Decision Support Pilot: Iterative Design, Implementation, and Evaluation. - Siru Liu, Allison B. McCoy, Bryan D. Steitz, Adam Wright:
Leveraging Natural Language Processing Tool to Identify Eligible Lung Cancer Screening Patients in the Electronic Health Record. - Fang Liu, Yanji Xu, Jaleal Sanjak, Andrew Patt, Ruili Huang, Chunxu Qu, Qian Zhu:
Profiling Tox21 Bioassay Towards Drug Repurposing for Rare Diseases. - Jialin Liu, Siru Liu:
Part Time MD Program Students' Perception Towards Clinical Informatics. - Molei Liu, Sara Morini, Xin Xiong, Chuan Hong, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Everett Neil Rush, Yuk-Lam Ho, Kelly Cho, J. Michael Gaziano, Katherine P. Liao, Tianxi Cai, Tianrun Cai:
Knowledge-Driven Online Multimodal Automated Phenotyping System. - Brian Lo, Colin Chu, Damian Jankowicz, Sandy Simpson, Tania Tajirian, Treena Wilkie:
Opportunities to Improve Forensic Mental Health Care through Digital Health Tools. - Ying-Chih Lo, Sheril Varghese, Suzanne V. Blackley, Frank Y. Chang, Oliver D. James, Kimberly G. Blumenthal, Foster R. Goss, Li Zhou:
Reconciling Allergy Information for Medication Challenge Test Using Natural Language Processing. - Maichou Lor, Nancy Yang:
Designing and Refining A Pain Intensity Information Visualization Scale to Improve Hmong Patient-Provider Communication. - Virginia Lorenzi, David Hay, Lisa Nelson, John Keyes, Debi Willis:
Patient Request for Correction Using HL7® FHIR®. - Amy L. Loriaux, Ann Phillips, Greg Aldin, Andrew S. Kanter:
Normalization of free-text annotated entries increases accuracy of diagnoses coding for quality reporting. - Ainhoa Gomez Lumbreras, Thomas J. Reese, Guilherme Del Fiol, Jason Hurwitz, Kensaku Kawamoto, Mary Brown, Richard D. Boyce, Daniel C. Malone:
Evaluation of Shared Decision-Making for Concomitant Warfarin and NSAID Medications using the DDInteract App. - Dee Luo, Katherine L. Dauber-Decker, Jeffrey Solomon, Yan Liu, Michael Qiu, Shreya Sanghani, Safiya Richardson:
Racial and ethnic disparities in the use of computed tomography with angiography (CTA) for the diagnosis of pulmonary embolism (PE). - Scott A. Malec, Steve Albert:
Using structured knowledge to help identify and prevent M-bias. - Sabrina Mangal, Leslie Park, Meghan Reading Turchioe, Jacky Choi, Stephanie Niño de Rivera, Annie C. Myers, Parag Goyal, Lydia Dugdale, Ruth Masterson Creber:
Building Trust in Research Through Information and Intent Transparency with Health Information. - Sabrina Mangal, Maryam Hyder, Hannah Curtis, Kate Zarzuela, Mahad Musse, Christina Ramasami, Monika M. Safford, Mark Lachs, Parag Goyal:
Patient Experiences with a Technology-Facilitated N-of-1 Clinical Trial for Shared Decision-Making about Beta-Blocker Medication Usage. - Jialin Mao, Michael Matheny, Philip Goodney, Art Sedrakyan:
Using Linked Registry-Electronic Health Records to Examine Long-term Outcomes of Medical Devices. - Jacob A. Martin, Arnab Chowdhury, Gary E. Weissman:
Identifying Patients from Sentences: A Label-to-Label Classification Model to Predict Who May Benefit from Pulmonary Rehabilitation. - William Martinez, Jared Cobb, Sapna Gangaputra, Amber J. Hackstadt, Lindsay Mayberry, Lyndsay Nelson, Neeraja Peterson, S. Trent Rosenbloom, Zhihong Yu, Tom Elasy:
Empowering Patients to Address Diabetes Care Gaps: Usability Study of a Novel Patient Portal Intervention. - Anthony Maxin, Bernice Gulek, Chungeun Lee, Do Lim, Ilya Buzytsky, Robin Alfiery, Randall Bly, Michael Levitt, Cory Kelly, Lynn McGrath:
Validation of a Smartphone Pupillometer in Healthy Subjects. - Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach:
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. - Peter McGarvey, Legand Burge:
The AIM-AHEAD Data Science Training Core. - Rebecca McGavin, Michelle Dougherty:
Health Information Technology Adoption and Utilization in Long-Term and Post-Acute Care Settings. - Mollie McKillop, Karlis Draulis, Rezzan Hekmat, Jane Snowdon:
Impact of Decision Support to Aid Consumers in Health Benefits Selection. - Katharine H. McVeigh, Nura Anwar, John Lyons, Tania Corporan, Catherine Canary, Arin A. Balalian, Samantha Bynoe, Mary McCord, Lidiya Lednyak:
Promoting Early Intervention Program Referral and Retention using EHR-Based Referral and Bi-Directional Data Exchange. - Osvaldo Mercado, Alex Ruan, Kathleen Gibbs, Bolu Oluwalade, Matthew Devine, Leah Carr:
Leveraging Novel Clinical Decision Support to Improve Preferred Language Documentation in a Quaternary Neonatal Intensive Care Unit. - Chelsea L. Michael, Jing Wang, Chasity Walters, Gilad J. Kuperman:
Patient Opening Rates for Open Notes. - Kurt Miller, Ming Huang, Sunyang Fu, Kris Abah, Andrea Maraboto Escarria, Kevin J. Peterson, Hongfang Liu, Lacey Hart, Nelly Tan:
Probing Radiology Patient Experience Feedbacks with Aspect-based Sentiment Analysis. - Sandra Mitchell, Gay Stahr, Todd Turner, Jeffery Anderson, Jonathan R. Nebeker:
Collaborative High Reliability Organization (HRO) Initiative in the Veterans Health Information Exchange (VHIE) Program. - Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu:
Mapping Family History Information from Clinical Narratives to Ontologies or Terminological Resources. - Marco Barbero Mota, Jorge L. Gamboa, John M. Still, Charles M. Stein, Vivian K. Kawai, Thomas A. Lasko:
Validating Data-Driven Clinical Fingerprints as an Input Feature Representation. - Luc Mottin, Jean-Philippe Goldman, Christoph Jäggli, Rita Achermann, Julien Gobeill, Julien Knafou, Julien Ehrsam, Alexandre Wicky, Camille L. Gerard, Tanja Schwenk, Mélinda Charrier, Petros Tsantoulis, Christian Lovis, Alexander B. Leichtle, Michael Kiessling, Olivier Michielin, Sylvain Pradervand, Vasiliki Foufi, Patrick Ruch:
Classification of oncology treatment responses from radiology reports with supervised machine learning. - Venugopal Mudgundi, Steve Coppola, Jose Alcantara, Balazs Zsenits, John Glynn, Karan Alag:
Leveraging Clinical Decision Support (CDS) for Reporting COVID-19 Admissions. - Masaharu Nakayama, Ryusuke Inoue:
Electronic Phenotyping to Identify Patients with Acute Coronary Syndrome. - Ploypun Narindrarangkura, Patricia Alafaireet, Uzma Z. Khan, Min Soon Kim:
Investigating risk patterns for suicide attempts in diabetes patients using association rules mining. - Ploypun Narindrarangkura, Patricia Alafaireet, Uzma Z. Khan, Min Soon Kim:
Identifying risk factors of suicide attempts among people with diabetes using LASSO regression. - Anunita Nattam, Danny T. Y. Wu:
Validating Readability Measures on Online Health Information: A Preliminary Systematic Scoping Review. - Chioma I. Ndukwe, Haleh Vatani, Barbara Di Eugenio, Richard Cameron, Andrew D. Boyd:
Perceptions of Dietary Restrictions in Patients with Heart Failure. - Derek M. Ngai, Swetha Kotamraju, Phinga Do, Robin Luffy, Christine Winser-Bean, Jill Rockwell, Lauren Holloway, Victoria Wright, Meghana Sathe, Sarah Barlow:
Clinical Decision Support Intervention to Improve Nutritional Evaluation Consistency in Pediatric Patients with Feeding Tubes. - Michelle H. Nguyen, João Sedoc, Casey Overby Taylor:
Piloting Family Health History Chatbot with Crowd-Sourced Data Collection. - Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed:
Automated Evaluation of the Search Relevance Capability for Kp.org. - Andrew Niederhausern, Nadia Bahadur, Neil Shah, Fenil Gandhi, Alysha Insinga, Kimberly Chan, Laura Barton, John Philip, Chelsea Nichols:
Extending the Standard REDCap Dictionary Definitions Using REDCap. - Paige Nong, Jodyn Platt:
Regulatory Oversight and Public Perceptions of Prediction in Healthcare. - Olabode Ogundele, Mirna Becevic:
Show-Me ECHO: Understanding behavior change and utilization of healthcare system through claims data analysis. - Julia A. O'Rourke, Jeffrey Warnick, John E. Doole, Jessamine Winer-Jones, Matvey Palchuk:
Detecting Patterns of Chemotherapy Administration Using Cluster Analysis in Breast Cancer Patients. - Dympna O'Sullivan, Jonathan Turner, Ciarán Nugent, Damon Berry, Michael Wilson, Julie Doyle:
The Smart Dementia Care Project. - Shintaro Oyama, Keiko Yamashita:
Preventing Employee Absenteeism in Healthcare Settings with Bias-less Estimation of Personality Traits Based on Color Psychological Preferences. - Viviana Paolini, Marco Prenassi, Serena Narbone, Vanni Lughi, Andrea Petronio, Linda Borellini, Davide Villa, Simone Paternich, Sara Marceglia:
Artificial Intelligence, Design and Telemedicine: non-stigmatizing devices for symptoms relief. - Sulki Park, Hye-Chung Kum, Mark Lawley:
Adherence to home telemonitoring and its effects on blood glucose control for diabetes in the real-world setting. - Rimma Perotte, Paarth Raj, Joseph Underwood, Christina Hajicharalambous:
An Informatics Infrastructure for Collecting, Quantifying, and Synthesizing Resident Education Progress. - Jeremy Petch, Christopher Pettengell, Jessica Bogach, Alexandra Allard-Coutu, Steven Aviv, Gregory Pond, Joel Kemppainen, Mark Levine:
Building a Breast Cancer Learning Health System. - Joni H. Pierce, Jorie M. Butler, Teresa Taft, W. Wayne Richards, Mary M. McFarland, Kensaku Kawamoto, Guilherme Del Fiol, Charlene R. Weir:
Shared Decision Making Tools Implemented in the EHR: A Scoping Review. - Malvika Pillai, Karthik Adapa, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Joseph M. Plasek, Abigail Salem, Stuart R. Lipsitz, Mary Amato, Dinah Foer, Heba Edrees, Suzanne V. Blackley, Brett R. South, Amol Rajmane, Mario Lorenzo, Paul Felt, Brendan Bull, Gretchen Purcell Jackson, Henry Feldman, David W. Bates, Li Zhou:
Sampling Adverse Drug Events in Outpatient Clinical Notes for Natural Language Processing Tasks. - Daniel E. Platt, Aritra Bose, Chaya Levovitz, Kahn Rhrissorrakrai, Laxmi Parida:
Epidemiological topology data analysis links severe COVID-19 to RAAS and hyperlipidemia associated metabolic syndrome conditions. - Savanna Plombon, Robert S. Rudin, Jorge Sulca Flores, Gillian Goolkasian, Dinah Foer, Jorge Alberto Rodriguez, Anuj Dalal:
Towards Equitable Enrollment into a Clinical Trial of a Digital Health Intervention using Multi-Pronged Recruitment Strategy. - Saeid Pournejati, David Hendricks, Heather Bixby, Sina Madani:
Implementing a Behavioral Health Group Scheduling and Therapy System. - James S. Powers, Shana Rhodes, Allison B. McCoy:
Creation of an Operational Dashboard Facilitates Implementation of 4M's into Primary Care. - Venkata S. V. S. Pragada, Rishika S. Sharma, Adela Grando:
How physicians use EHR data to classify sensitive medical records? Thematic analysis. - Zoe M. Pruitt, Sadaf Kazi, Raj M. Ratwani, Aaron Z. Hettinger:
Systematic Review of the Quantitative Methods Used to Evaluate the Usability of electronic medication administration records (eMAR) and bar-coded medication administration (BCMA). - Yuri Quintana, David Einstein, Robin Joyce, Andrew Lyu:
A Virtual Tumor Learning Health Systems using the Alicanto Platform. - Protiva Rahman, Cheng Ye, Kate Mittendorf, Michele L. LeNoue-Newton, Christine Micheel, Daniel Fabbri:
Accelerated Data Curation of Colitis Cases. - Sripriya Rajamani, Maureen Leeds, Naomi Jiter, Aaron Bieringer:
Evolution of Electronic Exchange of Public Health Vaccination Reporting and Queries in COVID-19 context: Minnesota Immunization Information System. - Thomas J. Reese, Antonio Hernandez, Daniel Byrne, Lance Mailloux, Henry Domenico, Ryan Moore, Jessica Williams, Adam Wright, Jennifer Slayton, Sonya Moore, Brian Douthit, Allison B. McCoy, Catherine Ivory:
Pressure Injury Prevention: A Focused Care Approach Using Predictive Analytics. - Skyler Resendez, Hugo Sebastian Ruiz Ayala, Wilmon McCray, Steven H. Brown, Jonathan R. Nebeker, Diane Montella, Peter L. Elkin:
Defining Long-Covid Profiles for Future Diagnoses Through Extensive Analysis of VA Covid-19 Data. - Lauren R. Richter, Benjamin Albert, Linying Zhang, Ilene Fennoy, David J. Albers, George Hripcsak:
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. - Chelsea Richwine, Christian Johnson, Vaishali Patel:
Provider Burden Associated with Documenting Clinical Care in EHRs: National Survey Findings. - Stephanie Niño de Rivera, Sabrina Mangal, Annie C. Myers, Meghan Reading Turchioe, Ruth Masterson Creber:
Returning Study Results to Research Participants: Data Access, Format, and Sharing Preferences. - Stephanie Niño de Rivera, Sabrina Mangal, Annie C. Myers, Ruth Masterson Creber, Lydia Dugdale:
Preferences For Research Data Access and Ethical Implications of Data Sharing Among Older Adults. - William T. Roddy, Daniel Olson, Diane Corey, Ian Braun, Terrence McHugh, Emily Hartley, Smith Heavner, Ramona Walls:
Translating SDTM Terminology and OMOP Vocabularies using the UMLS. - Christian Rose, Robert Thombley, Morteza Noshad, Ron Li, Wendy Lu, Heather A Clancy, David Schlessinger, Vincent X. Liu, Jonathan H. Chen, Julia Adler-Milstein:
Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes. - Bradley A. Rowland, Richa Bundy, Adam Moses, Ajay Dharod, Donna Williams:
30-day unplanned readmission risk model performance and the COVID-19 pandemic. - Joy Roy, Rafael Ceschin, Danielle Devine, Ashok Panigrahy, Ericka Fink:
Diffusion Tensor Imaging as a Biomarker for Pediatric Cardiac Arrest Outcomes. - Boshu Ru, Stephanie Kujawski, Amar Das, Nelson Afanador, Richard Baumgartner, Manjiri Pawaskar:
Unsupervised Learning to Profile Measles Outbreak Risk for US Counties. - Elise M. Russo, Allison B. McCoy, Thomas J. Reese, Cheryl M. Cobb, Neal Patel, Peter Shave, Adam Wright:
Hacking Mental Health: A Vanderbilt Clinical Informatics Center Hackathon. - Euijung Ryu, Katherine S. King, Sunghwan Sohn, Chung-Il Wi, Momin M. Malik, Richard R. Sharp, John D. Halamka, Young J. Juhn:
The role of individual-level socioeconomic status on bias of machine learning algorithm. - Agustina Saenz, Julie Vaughn, Jeffrey Schnipper, Moustafa Abdalla, William Boag:
Assessment of Natural Language Processing Methods to Predict Functional Pain Scores from Inpatient Clinical Notes. - Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu:
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. - Ramzi G. Salloum, Christina Guerrier, Laura Gonzalez Paz, Cara McDonnell, Lori Bilello, Francisco Martinez-Wittinghan, Maria Gutierrez, Ghania Masri, Ross Jones, Bryn Rhodes, Laura H. Marcial, Robert W. Hurley, Julie Dilulio, Laura G. Militello, Christopher A. Harle:
A Multidisciplinary System Design Workshop to Adapt Interoperable Clinical Decision Support Tools for Chronic Pain. - Rohan Salvi, Md Fourkanul Islam, Sancharee Hom Chowdhury, Jamie Podell, Peter Hu, Neeraj Badjatia, Lujie Chen:
Nowcasting PSH-AM: Towards Real-time Assessment of Paroxysmal Sympathetic Hyperactivity using Continuous Vital Sign Measurements in Neurocritical Units. - Megan E. Salwei, Laurie L. Novak, Timothy Vogus, Leigh Anne Tang, Shilo Anders, Carrie Reale, Kim M. Unertl, Jason Slagle, Joyce M. Harris, Matthew B. Weinger, Daniel J. France:
Understanding Barriers and Facilitators to Resilient Cancer Care. - Benjamin Sanders, Steven Bedrick, Luis Andres Rivas Vazquez, Sarabeth Broder-Fingert, Shannon A Brown, Jill K. Dolata, Eric Fombonne, Plyce Fuchu, Katharine E. Zuckerman:
Digital tools to help parents screen their child for autism are of low quality. - Sayantani Sarkar, Katherine K. Kim:
Acceptance and Use of a Mobile Yoga Application by Breast Cancer Survivors: A Brief Intervention Study. - Shraboni Sarker, Md Kamruz Zaman Rana, Yahia Mohamed, Vasanthi Mandhadi, Xing Song, Abu Saleh Mohammad Mosa, Lemuel R. Waitman, Praveen Rao:
Mapping Clinical Notes to LOINC Document Ontology Using EHR Data. - Anastasia Schaadhardt, Wanda Pratt:
Potential Patients' Expressions of Values About Psychiatric Inpatient Care on TikTok. - Jessica M. Schwartz, Maureen George, Sarah Collins Rossetti, Patricia C. Dykes, Simon Minshall, Eugene Lucas, Kenrick Cato:
Clinical Decision Support in the Era of Machine Learning: Gaining Trust. - Yalini Senathirajah, David R. Kaufman, Kenrick Cato, Elizabeth M. Borycki, André Kushniruk, Pia Daniel, Bonnie Arqulla, Patricia Roblin:
Assessing Pandemic Readiness to Promote Equity in Institutional Health IT. - Sunil Seoparson, Avniel Shetreat-Klein, Joseph L. Kannry, Sandeep Gangadharan:
Lessons learned from the implementation of 21st Century Cures Act in Pediatrics: When State and Federal Law Conflict. - Lydia Sequeira, Jessica Kemp, Iman Kassam, David Wiljer, John Strauss, Gillian Strudwick:
Mobile apps for suicide prevention: Developing an evidence-based framework for essential features. - Md. Mobashir Hasan Shandhi, Natasha Janson, Geetika Singh, Baiying Lu, Jennifer Maddocks, Jessilyn Dunn:
Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing among Duke Patients. - Jingjing Shang, Carlin Brickner, Jiyoun Song, David Russell, Margaret McDonald, Dawn Dowding:
A Full and Approximated Model for Predicting Infection-Related Adverse Events in a Home Health Care Population. - Julia Sheehan, Sadaf Kazi, Tracy Kim, Ronald E. Romero Barrientos, Raliat Igwe, Kristen E. Miller:
A Comprehensive List of Critical Needs in Emerging Trends in Health IT. - Gaurav N. Shetty, Henry Philofsky, Biplab Sudhin Bhattacharya, David K. Vawdrey, Abdul A. Tariq:
Comparison of Charlson Comorbidity Index to Laboratory results-based Scores for Mortality Prediction. - Akiko Shibuya, Rie Ichikawa, Yukihiro Maeda, Teruyoshi Hishiki, Yoshiaki Kondo:
The impact of emotion on physicians' medication errors: A text mining analysis approach. - Catherine C. Shoults, Michael W. Rutherford, Aaron S. Kemp, Merideth Addicott, Aliza Brown, Carolyn Greene, Corey J. Hayes, Jennifer Gan, Linda Larson-Prior, Jonathan P. Bona:
Reddit Caregiver Support Forums: NLP and Visualization for Digestion of Complex Themes. - Konstantinos Sideris, Josef Stehlik, Carsten Schmalfuss, Thomas Hanff, Richard Schofield, R. Matthew Pipke, Karen A. Larimer, Cornesia Davis, Benjamin Beauchamp, Heather Hanson, Charlene R. Weir:
Clinician perceptions of AI notifications and early system performance data from pilot phase of LINK-HF2 study. - Micaela Siraj, Jacob Zelko, Elizabeth Shivers, Alexandra Trani, Charity A. Hilton, Scott Lee, Travis Hoppe, Juliana Cyril, Jon Duke:
Advancing Public Health Equity: A Proposed Framework across AI Workflows. - Sonish Sivarajkumar, Yanshan Wang:
A Novel Zero-shot Learning Framework for Clinical Text Classification. - Kimberly R. Sladek, Alexandra Andreiu:
Using the Roter Interaction Analysis Scale (RIAS) with Positive and Negative Affect Scores to Signal Pivotal Moments in Patient-Provider Interactions. - Hannah Slater, Allison B. McCoy, Adam Wright:
Evaluation of Breast Cancer Screening Order Completion. - Urszula Alina Snigurska, Sarah E. Ser, Mattia Prosperi, Ragnhildur I. Bjarnadottir, Robert Lucero:
Complementing ICD Codes with Nurses' Assessment Data Can Improve the Identification of Patients with Hearing and Visual Impairments. - Lynne Page Snyder, Prashila Dullabh, Alexa Limeres, Rachel Oommen, Sofia Ryan, Courtney Zott, Melissa M. Goldstein:
Identifying Ethics Frameworks and Principles to Guide New and Emerging Approaches to Interoperability in Public Health Data Exchange. - Shanshan Song, Micaela Ashton, Rebecca Yoo, Rob Wright, Debra Mathews, Casey Overby Taylor:
"Data Donation" or "Data Sharing"? A Scoping Review Characterizing Language Use in mHealth Research Involving Person-generated Health Data. - Priyanka D. Sood, Star Liu, Hsien-Yen Chang, Hadi Kharrazi:
Measuring the Effect of EHR Data Quality in Identifying Type 2 Diabetes Population Across Common Phenotype Definitions of Diabetes. - Raman Srinivasan, Ujwal Reddy Moramganti, Cathi Burkham, Feng Xin, Ajay Deshpande, Vincenzo Scivittaro, Gigi Y. Yuen-Reed:
A Predictive Model to Identify Patients for Palliative Care Assessment. - Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati:
A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. - Bryan D. Steitz, Charreau Bell, Jesse Spencer-Smith, Adam Wright:
Improving the Performance of Large Language Models by Domain-Specific Pre-Training on Clinical Documents. - Shane P. Stenner, Dario A. Giuse:
Building the Vanderbilt Integrated Teaching and Learning System (VITALS) and VITALS Spotlight Tool. - Katy Stewart, Elizabeth Umberfield, Jordan Hill, Titus Schleyer:
User requirements for a search feature in health information technology systems: A pilot study of emergency physicians. - Zachary H. Strasser, Hossein Estiri, Shawn Murphy:
Machine Learning to Identify Respiratory Sequelae in Patients with COVID-19. - Lina Sulieman, Xiaoke Feng, Qingxia Chen, Robert M. Cronin:
Predicting the Retention of Subsequent Surveys in the All of Us. - Madhumita Sushil, Dana Ludwig, Atul J. Butte, Vivek A. Rudrapatna:
Training a Transferrable Clinical Language Model from 75 million Notes. - Katherine A. Sward, Jia-Wen Guo, William Hull:
Pain and opioid research evidence base: NIH Heal CDEs. - Teresa Taft, Charlene R. Weir, Elizabeth Anne Rudd, Bernadette Kiraly, Michael C. Flynn, Maribel Cedillo, Jessell Zepeda, Polina V. Kukhareva, Molly Conroy, Kensaku Kawamoto:
Hidden Tensions in Designing Electronic Health Record Embedded Prompts for Pragmatic Clinical Trials for Weight Maintenance in Primary Care. - Erin M. Tallon, Mark Clements, Chi-Ren Shyu:
Found in Translation: Transforming Rules-Based Diabetes Phenotyping Algorithms into Reproducible Diabetes Cohorts from Real-World Data. - Brittany N. Taylor, Sarah Collins Rossetti, Kenrick Cato:
Deterioration Events in Patients with Depression. - Bemnet Teferi, Brian Lo, Alexxa Abi-Jaoudé, Andrew Johnson, Howard W. Wong, David Wiljer:
Enhancing the Value of Digital Health Support for Mental Health Help-Seeking in Transitional Aged Youth: What should we do next? - Sarah A. Thompson, Edwin Ray, Evan Orenstein, Swaminathan Kandaswamy:
When Alerts Work as Expected but Not as Intended: Situation Awareness for Patients with Cardiac Shunt at High Risk of Rapid Deterioration. - Aaron A. Tierney, Denise Payan, Timothy Brown, Adrián Aguilera, Stephen Shortell, Hector Rodriguez:
Telehealth Use, Care Continuity, and Quality: Diabetes and Hypertension Care in Community Health Centers Before and During the COVID-19 Pandemic. - Yvette H. Tran, Seho Park, Scott L. Coven, Eneida Mendonca:
Relationship Between Neighborhood Opportunity and Deprivation Indices and Healthcare Utilization for Children with Central Nervous System Tumors. - Hsinyi (Steve) Tsang, Liz Amos, Jason Walonoski, Reece Adamson, Allissa Dillman, Belinda Seto:
HL7 Fast Healthcare Interoperability Resources (FHIR®) Training at the US National Institutes of Health. - Antonia Tsvetanova, Matthew Sperrin, Niels Peek, Iain E. Buchan, Stephanie L. Yland, Glen P. Martin:
Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study. - Bengisu Tulu, Soussan Djamasbi, Fatima Varzgani, Rocsoe Garner, Edwin D. Boudreaux, Celine Larkin:
Applying Design Thinking to Develop a Mobile App for Patients with Suicide Risk. - Meghan Reading Turchioe, Winston Guo, Alexander Volodarskiy, Brittany Taylor, Mollie Hobensack, David Slotwiner, Jyotishman Pathak:
Developing a disease-specific symptom vocabulary for natural language processing. - Fatima Varzgani, Soussan Djamasbi, Bengisu Tulu:
Use of Eye-Tracking in Usability Evaluation of Digital Health Technologies: A Systematic Review of Literature. - Scott Vennemeyer, Andy Gao, Mark H. Eckman, Eric J. Warm, Danny T. Y. Wu:
Methods and Applications of Visual Analytics in Medical Education: A Preliminary Systematic Scoping Review. - Austin D. Vo, Danne C. Elbers, Theodore C. Feldman, Paul A. Marcantonio, Anahit Aleksanyan, Nhan Vo, Feng-Chi Sung, Svitlana Dipietro, Arkadiy Dolgin, Rupali Dhond, Mary Brophy, Nathanael Fillmore, David Kaplan, Nhan V. Do:
Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT). - Salvatore G. Volpe, Arin Seidlitz, Evan Wentland, Burak Cetin, Mehmet Kazgan, Suzanne Bakken, Samantha Stonbraker:
Usability Testing of a Bilingual Application to Improve HIV-related Care. - Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Prompt-based Learning for Assertion Classification in Clinical Notes. - Jiayu Wang, Guilan Kong, Fengyu Wen:
Identifying risk factors for cognitive impairment in diabetes by combining machine learning and logistic regression methods. - Mei Wang, Yao-Chi Yu, Lawrence Liu, Martin Schoen, Theodore Thomas, Graham Colditz, Su-Hsin Chang:
Using natural language processing-assisted models to confirm MGUS diagnoses in Veterans' electronic health records. - Liwei Wang, Sungrim Moon, Sicheng Zhou, Huan He, Hongfang Liu:
Annotation Enhancement of Synthetic Family History Corpus. - Jeff Washburn, Daniel Bogaty, Karen Bavuso, Dirk Wenke, Saverio M. Maviglia, Olivia Milgrom, Roberto A. Rocha:
Implementation of a Self-Service Knowledge Center for Issue Resolution. - Duo (Helen) Wei:
Resemblance Distantly Supervised Approach to Extract Triplet Information from Randomized Control Trials of Breast Cancer. - Benjamin Weia, Akshay Ravi, Robert Thombley, Grace Krueger, Natalya Maisel, Julia Adler-Milstein:
Impact of Open Notes on Clinician Documentation One Year Post-Mandate. - Julie E. Westover, Amy Chong, Christopher Cannavino, Cynthia Kuelbs:
Creation of an interactive and clinically relevant EHR curriculum for medical students. - Christopher R. Wilson, Annie E. Bowles, Hannah Eyre, Scott L. DuVall, Olga V. Patterson:
Comprehensive Mapping of Presenting Symptoms in the Emergency Department and Inpatient Setting. - Sarah Wilson, Ríona Mc Ardle, Clare L. Tolley, Sarah P. Slight:
The Feasibility of Wearable Digital Technologies by Individuals with Cognitive Impairment. - Randy Winstead, Jennifer Andrews:
Successful rollout of a Transfusion Dashboard. - Randy Winstead, Jennifer Andrews:
Blood Order Set Modifications for Safer Transfusions. - Mark Wlodarski, Shruti Sehgal, Firas H. Wehbe, Lucy Bilaver, Justin Starren, Ruchi Gupta:
Improving the Coverage of Food Allergy in Clinical Terminologies. - Jesse O. Wrenn, Sara Lin, Jin Han, Ruth Reeves, Dax M. Westerman, Michael E. Matheny, Michael J. Ward:
AUTO-PILOT: Development and Validation of a Tool to Extract Structured Data in Interfacility Transfer Paperwork. - Danny T. Y. Wu, Shwetha Bindhu, Catherine Xu:
Using Health Forum Data to Assess User Needs for mHealth App Development: A Feasibility Study on Alzheimer's Disease. - Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, Ellen Wright Clayton, Bradley A. Malin:
A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. - Justin Xiang, Richard Bell, Matthew Brendel, Edward Schwarz, Fei Wang:
Improving Cell Type Classification in Histology Images with Active Learning. - Yunyu Xiao, Haotan Zhang, Yu Hou, Chang Su, Fei Wang:
Unraveling the "Other" Diagnosis of Suspected Suicide Attempts at Emergency Department using Natural Language Processing (NLP). - Serena Jinchen Xie, Flavia Kapos, Stephen J. Mooney, Sean D. Mooney, Kari A. Stephens, Andrea L. Hartzler, Abhishek Pratap:
Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity. - Serena Jinchen Xie, Nicholas Mah, Andrea L. Hartzler:
Exploring COVID-19 outreach strategies to promote vaccine equity: Lessons for healthcare systems. - Keiko Yamashita, Shintaro Oyama, Teruhiko Suzuki, Yuji Sakamoto, Yoshinori Ideno, Satoshi Yamashita, Satomi Akagawa, Akiko Fujii, Kensaku Mori, Yoshimune Shiratori:
Nursing behavior recognition and presenteeism risk analysis using IoT sensing technology. - Wenzhe Yang, Youngjun Kim, Timmy O'Connell, Xiang Zhou, Rong Chen:
Improving Cancer Drug Recognition Using Few-shot Transfer Learning. - Kevin Yang, Vinod E. Nambudiri:
Clinical Informatics Educational Requirements in United States ACGME-Accredited Residency Programs. - Yumeng Yang, Omer Anjum, Hua Xu:
Topic Analysis in Biomedical Informatics: A analysis of 20 years' of papers in Journal of Biomedical Informatics. - Connie Yang, Deepthi Mohanraj, Alexandra Dogbe, Ayah Idris, Joseph Tan Garcia, Linda Janelle Chastine, Emily Bascom, Reggie Casanova-Perez, Janice Sabin, Wanda Pratt, Andrea L. Hartzler, Nadir Weibel:
Community champions as health informatics partners in co-production. - Julia K. W. Yarahuan, Andrew Capraro:
Critical Contingency Plans for Rapid Identification and Intervention for Patients with Unusual Medical Conditions. - Jiancheng Ye, Jiarui Hai, Zidan Wang, Chumei Wei:
Leveraging Natural Language Processing and Time Series Models to Analyze COVID-19 Vaccination Sentiment Dynamics from Tweets. - Jiancheng Ye, Zhimei Ren:
Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study. - Evan Yu, Cui Tao, Jingcheng Du, Degui Zhi, Yang Xiang, Kayo Fujimoto, Xi Luo, John A. Schneider:
Combining Transfer Learning with Graph Attention Models for HIV Risk Prediction. - Jingzhi Yu, Xiaoyun Yang, Amy E. Krefman, Hongyan Ning, Lucia C. Petito, Lihui Zhao, Norrina B. Allen:
Using deep learning to incorporate longitudinal health factors into 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction in the Lifetime Risk Pooled Project (LRPP). - Rachael F. Zehrung, Nick Su, Yunan Chen:
Rare Aesthetic: Lived Experiences, Challenges, and Support-Seeking Practices of Adolescents with Rare Diseases on TikTok. - Melody Zhang, Rebecca Charow, Allison Crawford, Brian Lo, Lydia Sequeira, Nelson Shen, Peter Rossos, Sanjeev Sockalingam, David Wiljer, Gillian Strudwick:
An Innovative Virtual Focus Group Approach to Enhance Engagement Within Health Informatics Research: Building Consensus Among Health Professionals in Digital Compassion. - Jiayun Zheng, Maggie Makar:
Causally Motivated Multiple Shortcut Removal Using High Dimensional Auxiliary Labels. - Yaguang Zheng, Brynne Campbell Rice, Youmin Cho, Emily M. Pan, Liat Shenkar, Emily Baker, Yun Jiang:
Application of Artificial Intelligence in Self-management: Literature Review. - Huixue Zhou, Robin Austin, Halil Kilicoglu, Sheng-Chieh Lu, Rui Zhang:
CIHLex: Complementary and Integrative Health Lexicon. - Sicheng Zhou, Rui Zhang, Xinpeng Shen, Chetan Shenoy, Anne H. Blaes, György J. Simon:
Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients Using Electronic Health Record. - Jessica M. Zielinski, Pat Corby, Alexander Aleskeyenko:
Analysis of Oral Microbiome to Identify Biomarkers of Oral Mucositis.
Systems Demonstration
- Caitlin G. Allen, Leslie Lenert, John Clark:
Creation of a Platform to Support Recruitment of Diverse Populations and Community Engagement for a Population Wide Genomic Screening Program. - Brian S. Alper, Joanne Dehnbostel, Khalid Shahin:
Fast Evidence Interoperability Resources (FEvIR) Platform for Usability Research. - James Champion, Paul Kovach, Asiyah Ahmad, Anna Jojic, Buck Bohac, Adam M. Lee, Patrick Conway, Emily R. Pfaff:
CAMP FHIR: Clinical Asset Mapping Program for FHIR. - Erin L. Crowgey, Erin Coyne, Jeffrey Myers, Robin Miller:
A learning health care system application for improving sickle cell patient outcomes using guideline-based care practices. - Hussein Ezzeldin, Anna Podgornyak, Matthew Deady, Lance Jones, Jay Nakashima, Steven Anderson:
A Semi-automated Scalable Adverse Event Surveillance System. - Harry Hochheiser, Sean Finan, Zhou Yuan, John Levander, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru, Jeremy L. Warner, Guergana Savova:
DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance. - Kit Huckvale, Wendy W. Chapman, Daniel Capurro:
The Validitron Sandbox: a cloud environment to support prototyping, workflow design and integration testing of data-focused digital health applications. - Betina Ross S. Idnay, Yilu Fang, Yingcheng Sun, Hao Liu, Zhehuan Chen, Rebecca Schnall, Chunhua Weng:
Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. - Peter Krautscheid, Marc Hadley, Diana Eastman, Yunwei Wang, Adam Barnes, Katherine Mikk, Mario Terán, Edwin A. Lomotan:
CEDAR: FAIR Clinical Evidence in Action. - Marin E. Langlieb, Aziz A. Boxwala, Theo Nguyen-Cao, David W. Bates, Karen C. Nanji:
A Real-Time Perioperative Medication Safety Software Platform. - Anupama Maram, Nick Benik, Griffin M. Weber, Jeffrey G. Klann:
i2b2 Modern UI to Achieve Unified i2b2/SHRINE User Experience. - Frank Pandolfe:
Easily develop and deploy CDS Hooks Services. - Benjamin I. Rosner, Grace Krueger, Glenn Rosenbluth, Andrew Auerbach, Julia Adler-Milstein:
Fueling Diagnostic Performance Feedback: Development of an Online National Repository of Clinical Informatics Tools. - Aayush Sharma, Swetabh Pathak, Nilanjan Banerjee:
Federated Weak Learning for Biocuration. - Maryan Zirkle, Kimon Kotronis, Lee Lancashire, Eugene Rakhmatulin, Magali Haas:
BRAINCommons: A Research Infrastructure Designed for Accelerated Discovery in Support of Brain Health.
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