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ORCIDJournal of the American Medical Informatics Association, Volume 31
Volume 31, Number 1, December 2023
- William W. Stead
, Randolph A. Miller, Lucila Ohno-Machado, Suzanne Bakken:
JAMIA at 30: looking back and forward. 1-9 - Kamran Abbasi, Parveen Ali, Virginia Barbour, Thomas Benfield, Kirsten Bibbins-Domingo, Stephen Hancocks, Richard Horton, Laurie Laybourn-Langton, Robert Mash, Peush Sahni, Wadeia Mohammad Sharief, Paul Yonga, Chris Zielinski:
Time to treat the climate and nature crisis as one indivisible global health emergency. 10-12 - Suzanne Bakken:
User interfaces remain an important area of study. 13-14 - Julia Adler-Milstein, Ariel Linden, Renee Y. Hsia, Jordan Everson:
Electronic connectivity between hospital pairs: impact on emergency department-related utilization. 15-23 - Nusa Faric, Sue Hinder, Robin Williams, Rishi Ramaesh, Miguel O. Bernabeu, Edwin van Beek, Kathrin M. Cresswell:
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study. 24-34 - Timothy Bergquist, Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney:
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. 35-44 - Norina Gasteiger, Sabine N. van der Veer, Paul Wilson, Dawn Dowding:
Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study. 45-60 - Alvin D. Jeffery, Carrie Reale, Janelle Faiman, Vera Borkowski, Russ Beebe, Michael E. Matheny, Shilo Anders:
Inpatient nurses' preferences and decisions with risk information visualization. 61-69 - Karen Konkel, Nurettin Oner, Abdulaziz Ahmed, S. Christopher Jones, Eta S. Berner, Ferhat D. Zengul:
Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 70-78 - Donghwan Yun, Hyun-Lim Yang, Soonil Kwon, So-Ryoung Lee, Kyungju Kim, Kwangsoo Kim, Hyung-Chul Lee, Chul-Woo Jung, Yon Su Kim, Seung Seok Han:
Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. 79-88 - Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. 89-97 - Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo:
Transportability of bacterial infection prediction models for critically ill patients. 98-108 - Clara Mosquera Lopez, Valentina Roquemen-Echeverri, Nichole S. Tyler, Susana R. Patton, Mark A. Clements, Corby K. Martin, Michael C. Riddell, Robin L. Gal, Melanie Gillingham, Leah M. Wilson, Jessica R. Castle, Peter G. Jacobs:
Combining uncertainty-aware predictive modeling and a bedtime Smart Snack intervention to prevent nocturnal hypoglycemia in people with type 1 diabetes on multiple daily injections. 109-118 - Anna Ostropolets, George Hripcsak, Syed A Husain, Lauren R. Richter, Matthew E. Spotnitz, Ahmed Elhussein, Patrick B. Ryan:
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. 119-129 - Chan Joo Lee, Tyler Hyungtaek Rim, Hyun Goo Kang, Joseph Keunhong Yi, Geunyoung Lee, Marco Yu, Soo-Hyun Park, Jin-Taek Hwang, Yih Chung Tham, Tien Yin Wong, Ching-Yu Cheng, Dong Wook Kim, Sung Soo Kim, Sungha Park:
Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI. 130-138 - David J. Schlueter, Lina M. Sulieman, Huan Mo, Jacob M. Keaton, Tracey M. Ferrara, Ariel Williams, Jun Qian, Onajia J. Stubblefield, Chenjie Zeng, Tam C. Tran, Lisa Bastarache, Jian Dai, Anav Babbar, Andrea H. Ramirez, Slavina Goleva, Joshua C. Denny:
Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. 139-153 - Jaleal Sanjak, Jessica Binder, Arjun Singh Yadaw, Qian Zhu, Ewy A. Mathé:
Clustering rare diseases within an ontology-enriched knowledge graph. 154-164 - Piaopiao Li, Tianchen Lyu, Khalid Alkhuzam, Eliot Spector, William T. Donahoo, Sarah Bost, Yonghui Wu, William R. Hogan, Mattia Prosperi, Desmond A. Schatz, Mark A Atkinson, Michael J. Haller, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao:
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records. 165-173 - Catherine J. Staes, Anna C Beck, George Chalkidis, Carolyn H. Scheese, Teresa Taft, Jia-Wen Guo, Michael G. Newman, Kensaku Kawamoto, Elizabeth A. Sloss, Jordan P. McPherson:
Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach. 174-187 - Akshay Swaminathan, Iván López, William Wang, Ujwal Srivastava, Edward Tran, Aarohi Bhargava-Shah, Janet Y. Wu, Alexander L. Ren, Kaitlin Caoili, Brandon Bui, Layth Alkhani, Susan Lee, Nathan Mohit, Noel Seo, Nicholas Macedo, Winson Cheng, Charles Liu, Reena Thomas, Jonathan H. Chen, Olivier Gevaert:
Selective prediction for extracting unstructured clinical data. 188-197 - Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun:
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. 198-208 - Erica A. Voss, Clair Blacketer, Sebastiaan van Sandijk, Maxim Moinat, Michael Kallfelz, Michel Van Speybroeck, Daniel Prieto-Alhambra, Martijn J. Schuemie, Peter R. Rijnbeek:
European Health Data & Evidence Network - learnings from building out a standardized international health data network. 209-219 - Carianne Martinez, Drew Levin, Jessica Jones, Patrick D. Finley, Benjamin H. McMahon, Sayera Dhaubhadel, Judith Cohn, David W. Oslin, Nathan A. Kimbrel, Jean C. Beckham:
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans. 220-230 - Jukrin Moon, Jason S. Chladek, Paije Wilson, Michelle A. Chui:
Clinical decision support systems in community pharmacies: a scoping review. 231-239 - Olatunde O. Madandola, Ragnhildur I. Bjarnadottir, Yingwei Yao, Margaret Ansell, Fabiana C. Dos Santos, Hwayoung Cho, Karen Dunn Lopez, Tamara Goncalves Rezende Macieira, Gail M. Keenan:
The relationship between electronic health records user interface features and data quality of patient clinical information: an integrative review. 240-255 - Yik-Ki Jacob Wan, Melanie C. Wright, Mary M. McFarland, Deniz Dishman, Mary A Nies, Adriana Rush, Karl Madaras-Kelly, Amanda Jeppesen, Guilherme Del Fiol:
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review. 256-273 - Sharon E. Davis, Michael E. Matheny, Suresh Balu, Mark P. Sendak:
A framework for understanding label leakage in machine learning for health care. 274-280 - Correction. 281
Volume 31, Number 2, January 2024
- Adriana Arcia, Natalie C. Benda, Danny T. Y. Wu:
Advancing the science of visualization of health data for lay audiences. 283-288 - Pooja M. Desai, Sarah Harkins, Saanjaana Rahman, Shiveen Kumar, Alison Hermann, Rochelle Joly, Yiye Zhang, Jyotishman Pathak, Jessica Kim, Deborah D'angelo, Natalie C. Benda, Meghan Reading Turchioe:
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. 289-297 - Bahareh Ansari, Erika G. Martin:
Integrating human-centered design in public health data dashboards: lessons from the development of a data dashboard of sexually transmitted infections in New York State. 298-305 - Aimiel Casillan, Michelle E. Florido, Jamie Galarza-Cornejo, Suzanne Bakken, John A Lynch, Wendy K. Chung, Kathleen F. Mittendorf, Eta S. Berner, John J. Connolly, Chunhua Weng, Ingrid A. Holm, Atlas Khan, Krzysztof Kiryluk, Nita A Limdi, Lynn Petukhova, Maya Sabatello, Julia Wynn:
Participant-guided development of bilingual genomic educational infographics for Electronic Medical Records and Genomics Phase IV study. 306-316 - Lynne M. Cotter, Sijia Yang:
Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment. 317-328 - Samantha Stonbraker, Gabriella Sanabria, Christine Tagliaferri Rael, Maureen George, Silvia Amesty, Ana F. Abraído-Lanza, Tawandra Rowell-Cunsolo, Sophia Centi, Bryan McNair, Suzanne Bakken, Rebecca Schnall:
A pilot test of an infographic-based health communication intervention to enhance patient education among Latino persons with HIV. 329-341 - Riley Cullen, Elizabeth M. Heitkemper, Uba Backonja, Betty Bekemeier, Ha Kyung Kong:
Designing an infographic webtool for public health. 342-353 - Maeve Brin, Paul Trujillo, Ming-Chun Huang, Patricia Cioe, Huan Chen, Wenyao Xu, Rebecca Schnall:
Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation. 354-362 - Emily Ruzich, Jason Ritchie, France Ginchereau Sowell, Aliyah Mansur, Pip Griffiths, Hannah Birkett, Diane Harman, Jayne Spink, David James, Matthew Reaney:
A powerful partnership: researchers and patients working together to develop a patient-facing summary of clinical trial outcome data. 363-374 - Surabhi Datta, Kyeryoung Lee, Hunki Paek, Frank J. Manion, Nneka Ofoegbu, Jingcheng Du, Ying Li, Liang-Chin Huang, Jingqi Wang, Bin Lin, Hua Xu, Xiaoyan Wang:
AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. 375-385 - Monika E. Grabowska, Sara L. Van Driest, Jamie R. Robinson, Anna E. Patrick, Chris Guardo, Srushti Gangireddy, Henry H. Ong, QiPing Feng, Robert J. Carroll, Prince J. Kannankeril, Wei-Qi Wei:
Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records. 386-395 - Yanfei Wang, Weiling Zhao, Angela Ross, Lei You, Hongyu Wang, Xiaobo Zhou:
Revealing chronic disease progression patterns using Gaussian process for stage inference. 396-405 - Peter Graffy, Lindsay P. Zimmerman, Yuan Luo, Jingzhi Yu, Yuni Choi, Rachel Zmora, Donald Lloyd-Jones, Norrina B. Allen:
Longitudinal clustering of Life's Essential 8 health metrics: application of a novel unsupervised learning method in the CARDIA study. 406-415 - Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron:
Using machine learning to develop smart reflex testing protocols. 416-425 - Huixue Zhou, Robin Austin, Sheng-Chieh Lu, Greg M. Silverman, Yuqi Zhou, Halil Kilicoglu, Hua Xu, Rui Zhang:
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition. 426-434 - Maryam Zolnoori, Sridevi Sridharan, Ali Zolnour, Sasha Vergez, Margaret V. McDonald, Zoran Kostic, Kathryn H. Bowles, Maxim Topaz:
Utilizing patient-nurse verbal communication in building risk identification models: the missing critical data stream in home healthcare. 435-444 - Wei Feng, Honghan Wu, Hui Ma, Zhenhuan Tao, Mengdie Xu, Xin Zhang, Shan Lu, Cheng Wan, Yun Liu:
Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study. 445-455 - Wei-Chun Lin, Aiyin Chen, Xubo Song, Nicole Gray Weiskopf, Michael F. Chiang, Michelle R. Hribar:
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. 456-464 - Ching-Tzu Tsai, Gargi Rajput, Andy Gao, Yue Wu, Danny T. Y. Wu:
Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. 465-471 - Sarah K. Savage, Jonathan Lotempio, Erica D. Smith, E. Hallie Andrew, Gloria Mas, Amanda H. Kahn-Kirby, Emmanuèle Délot, Andrea J. Cohen, Georgia Pitsava, Robert Nussbaum, Vincent A. Fusaro, Seth Berger, Eric Vilain:
Using a chat-based informed consent tool in large-scale genomic research. 472-478 - Darren Chau, José Parra, Maricel G. Santos, María José Bastías, Rebecca Kim, Margaret A. Handley:
Community engagement in the development of health-related data visualizations: a scoping review. 479-487 - Maxene Graze, Jonathan A. Schwabish:
Building color palettes in your data visualization style guides. 488-498 - Nichole Pereira, Jonathan P. Duff, Tracy Hayward, Tamizan Kherani, Nadine Moniz, Chrystale Champigny, Andrew Carson-Stevens, Paul Bowie, Rylan Egan:
Methods for studying medication safety following electronic health record implementation in acute care: a scoping review. 499-508 - Anton H. van der Vegt, Victoria Campbell, Imogen Mitchell, James Malycha, Joanna Simpson, Tracy Flenady, Arthas Flabouris, Paul J. Lane, Naitik Mehta, Vikrant R. Kalke, Jovie A Decoyna, Nicholas Es'haghi, Chun-Huei Liu, Ian A Scott:
Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. 509-524 - Jessica S. Ancker, Natalie C. Benda, Brian J. Zikmund-Fisher:
Do you want to promote recall, perceptions, or behavior? The best data visualization depends on the communication goal. 525-530 - Allyson Ferguson, Denise Goldsmith, Patricia Flatley Brennan:
Visualization of health information within immersive virtual reality environments. 531-535 - Nephi A. Walton, Radhakrishnan Nagarajan, Chen Wang, Murat Sincan, Robert R. Freimuth, David B. Everman, Derek C. Walton, Scott P. McGrath, Dominick J. Lemas, Panayiotis V. Benos, Alexander V. Alekseyenko, Qianqian Song, Ece D. Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas N. Person, Nadav Rappoport, Zhongming Zhao, Marc S. Williams:
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup. 536-541 - Sabrina Mangal, Lauren Berger, Jean-Marie Bruzzese, Alexandra de la Cruz, Maichou Lor, Imama A Naqvi, Eugenio Solis de Ovando, Nicole Spiegel-Gotsch, Samantha Stonbraker, Adriana Arcia:
Seeing things the same way: perspectives and lessons learned from research-design collaborations. 542-547 - Correction to: Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). 548
Volume 31, Number 3, February 2024
- Suzanne Bakken, James J. Cimino, Sue S. Feldman, Nancy M. Lorenzi:
Celebrating Eta Berner and her influence on biomedical and health informatics. 549-551 - Tad T. Brunyé, Kelsey Booth, Dalit D. Hendel, Kathleen F. Kerr, Hannah Shucard, Donald L. Weaver, Joann G. Elmore:
Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies. 552-562 - Max Kasun, Katie Ryan, Jodi Paik, Kyle Lane-McKinley, Laura Bodin Dunn, Laura Weiss Roberts, Jane Paik Kim:
Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study. 563-573 - Joshua C. Smith, Brian D. Williamson, David J. Cronkite, Daniel Park, Jill M. Whitaker, Michael F. McLemore, Joshua Osmanski, Robert Winter, Arvind Ramaprasan, Ann Kelley, Mary Shea, Saranrat Wittayanukorn, Danijela Stojanovic, Yueqin Zhao, Sengwee Toh, Kevin B. Johnson, David Aronoff, David S. Carrell:
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. 574-582 - Christian G. Reich, Anna Ostropolets, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie, Alexander Davydov, Dmitry Dymshyts, George Hripcsak:
OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. 583-590 - Junbo Wu, Christina T. Yuan, Rachel Moyal-Smith, Elizabeth C. Wick, Michael A. Rosen:
Electronic health record-supported implementation of an evidence-based pathway for perioperative surgical care. 591-599 - Joanna Lawrence, Mike South, Harriet Hiscock, Daniel Capurro, Anurag Sharma, Jemimah Ride:
Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital. 600-610 - Amelia K. Barwise, Susan Curtis, Daniel Diedrich, Brian W. Pickering:
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. 611-621 - Sigall K. Bell, Maelys J. Amat, Timothy S. Anderson, Mark D. Aronson, James C. Benneyan, Leonor Fernandez, Dru A Ricci, Talya Salant, Gordon D. Schiff, Umber Shafiq, Sara J. Singer, Scot B. Sternberg, Cancan Zhang, Russell S. Phillips:
Do patients who read visit notes on the patient portal have a higher rate of "loop closure" on diagnostic tests and referrals in primary care? A retrospective cohort study. 622-630 - Caitlin G. Allen, Grace Neil, Chanita Halbert-Hughes, Katherine Sterba, Paul J. Nietert, Brandon M. Welch, Leslie Lenert:
Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices. 631-639 - Jianhui Gao, Clara-Lea Bonzel, Chuan Hong, Paul Varghese, Karim Zakir, Jessica L. Gronsbell:
Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. 640-650 - Louis Mullie, Jonathan Afilalo, Patrick M. Archambault, Rima Bouchakri, Kip Brown, David L. Buckeridge, Yiorgos Alexandros Cavayas, Alexis F. Turgeon, Denis Martineau, François Lamontagne, Martine Lebrasseur, Renald Lemieux, Jeffrey Li, Michaël Sauthier, Pascal St-Onge, An Tang, William Witteman, Michael Chassé:
CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. 651-665 - Sarah B. May, Thomas P. Giordano, Assaf Gottlieb:
Generalizable pipeline for constructing HIV risk prediction models across electronic health record systems. 666-673 - Marcy G. Antonio, Tiffany C. Veinot:
From illness management to quality of life: rethinking consumer health informatics opportunities for progressive, potentially fatal illnesses. 674-691 - Aaron M. Cohen, Jolie Kaner, Ryan Miller, Jeffrey W. Kopesky, William R. Hersh:
Automatically pre-screening patients for the rare disease aromatic l-amino acid decarboxylase deficiency using knowledge engineering, natural language processing, and machine learning on a large EHR population. 692-704 - Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon:
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. 705-713 - Bradley E. Iott, Samantha Rivas, Laura M. Gottlieb, Julia Adler-Milstein, Matthew S. Pantell:
Structured and unstructured social risk factor documentation in the electronic health record underestimates patients' self-reported risks. 714-719 - Heath A. Davis, Donna A. Santillan, Chris E. Ortman, Asher A. Hoberg, Joseph P. Hetrick, Charles W. McBrearty, Erliang Zeng, Mary S. Vaughan Sarrazin, Karen Dunn Lopez, Cole G. Chapman, Ryan M. Carnahan, Jacob J. Michaelson, Boyd M. Knosp:
The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem. 720-726 - Kimberly F. McManus, Johnathon Michael Stringer, Neal Corson, Samah J. Fodeh, Steven Steinhardt, Forrest L. Levin, Asqar S. Shotqara, Joseph D'auria, Elliot M. Fielstein, Glenn T. Gobbel, John Scott, Jodie Trafton, Tamar H. Taddei, Joseph Erdos, Suzanne R. Tamang:
Deploying a national clinical text processing infrastructure. 727-731 - Mashael Alowais, Georgina Rudd, Victoria Besa, Hamde Nazar, Tejal Shah, Clare L. Tolley:
Digital literacy in undergraduate pharmacy education: a scoping review. 732-745 - Hang Ding, Joshua Simmich, Atiyeh Vaezipour, Nicole Andrews, Trevor Russell:
Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. 746-761 - Vishal Anand Shetty, Shauna Durbin, Meghan S. Weyrich, Airín Denise Martínez, Jing Qian, David L. Chin:
A scoping review of empathy recognition in text using natural language processing. 762-775 - Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau, Alfred Wei Chieh Kow, Fernando Bello, Le Van Phuoc, Xiaofei Wang, Xiaodong Sun, Gilberto Ka-Kit Leung, Yanyan Lan, Yaxing Wang, Davy Cheng, Yih Chung Tham, Tien Yin Wong, Kevin C. Chung:
Harnessing the potential of large language models in medical education: promise and pitfalls. 776-783 - Adam Rule, Thomas George Kannampallil, Michelle R. Hribar, Adam C. Dziorny, Robert Thombley, Nate C. Apathy, Julia Adler-Milstein:
Guidance for reporting analyses of metadata on electronic health record use. 784-789 - Julian Tugaoen, Alana Becker, Chenmeinian Guo, Efthimios Parasidis, Shaileshh Bojja Venkatakrishnan, Jose Javier Otero:
Web3-based storage solutions for biomedical research and clinical data exchange. 790-793
Volume 31, Number 4, 2024
- Suzanne Bakken:
Engaging knowers in the design and implementation of digital health innovations. 795-796 - Robert F. Lario, Richard Soley, Stephen White, John Butler, Guilherme Del Fiol, Karen Eilbeck, Stanley M. Huff, Kensaku Kawamoto:
The Business Process Management for Healthcare (BPM+ Health) Consortium: motivation, methodology, and deliverables for enabling clinical knowledge interoperability (CKI). 797-808 - Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen:
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. 809-819 - Alexia Giannoula, Mercè Comas, Xavier Castells, Francisco Estupiñán-Romero, Enrique Bernal-Delgado, Ferran Sanz, Maria Sala:
Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering. 820-831 - Alicia Williamson, Marcy G. Antonio, Sage Davis, Vaishnav Kameswaran, Tawanna R. Dillahunt, Lorraine R. Buis, Tiffany C. Veinot:
Human technology intermediation to reduce cognitive load: understanding healthcare staff members' practices to facilitate telehealth access in a Federally Qualified Health Center patient population. 832-845 - Chenjie Zeng, David J. Schlueter, Tam C. Tran, Anav Babbar, Thomas Cassini, Lisa Bastarache, Joshua C. Denny:
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank. 846-854 - Veer Sangha, Akshay Khunte, Gregory Holste, Bobak J. Mortazavi, Zhangyang Wang, Evangelos K. Oikonomou, Rohan Khera:
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images. 855-865 - Wesley Barker, Natalya Maisel, Catherine E. Strawley, Grace K. Israelit, Julia Adler-Milstein, Benjamin I. Rosner:
A national survey of digital health company experiences with electronic health record application programming interfaces. 866-874 - Brock Daniels, Christina McGinnis, Leah Shafran Topaz, Peter W. Greenwald, Meghan Reading Turchioe, Ruth M. Masterson Creber, Rahul Sharma:
Bridging the digital health divide - patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. 875-883 - Ellen Kim, Melissa Van Cain, Jonathan D. Hron:
Job search strategies and early careers of clinical informatics fellowship alumni (2016-2022). 884-892 - Paige Nong, Julia Adler-Milstein, Sharon L. R. Kardia, Jodyn Platt:
Public perspectives on the use of different data types for prediction in healthcare. 893-900 - Dylan Phelan, Daniel Gottlieb, Joshua C. Mandel, Vladimir Ignatov, James Jones, Brett Marquard, Alyssa Ellis, Kenneth D. Mandl:
Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface. 901-909 - Dinah Foer, David M. Rubins, Vi Nguyen, Alex McDowell, Meg Quint, Mitchell Kellaway, Sari L. Reisner, Li Zhou, David W. Bates:
Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis. 910-918 - Konstantinos Sideris, Charlene R. Weir, Carsten Schmalfuss, Heather Hanson, R. Matthew Pipke, Po-He Tseng, Neil Lewis, Karim Sallam, Biykem Bozkurt, Thomas Hanff, Richard Schofield, Karen A. Larimer, Christos P. Kyriakopoulos, Iosif Taleb, Lina Brinker, Tempa Curry, Cheri Knecht, Jorie M. Butler, Josef Stehlik:
Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. 919-928 - Katherine K. Kim, Uba Backonja:
Perspectives of community-based organizations on digital health equity interventions: a key informant interview study. 929-939 - Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluating the ChatGPT family of models for biomedical reasoning and classification. 940-948