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ORCIDShaun J. Grannis
- > Home > Persons > Shaun J. Grannis
Publications
- 2021
[j25]Brian E. Dixon
, Shaun J. Grannis, Connor McAndrews, Andrea A. Broyles, Waldo Mikels-Carrasco, Ashley Wiensch, Jennifer L. Williams, Umberto Tachinardi, Peter J. Embí:
Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics. J. Am. Medical Informatics Assoc. 28(7): 1363-1373 (2021)- 2020
- [j24]Kevin Wiley, Brian E. Dixon, Shaun J. Grannis, Nir Menachemi:
Underrepresented racial minorities in biomedical informatics doctoral programs: graduation trends and academic placement (2002-2017). J. Am. Medical Informatics Assoc. 27(11): 1641-1647 (2020) - [c51]Brian E. Dixon, Shaun J. Grannis, Umberto Tachinardi, Jennifer L. Williams, Connor McAndrews, Peter J. Embí:
Daily Visualization of Statewide COVID-19 Healthcare Data. VAHC 2020: 1-3 - 2019
- [c49]Brian E. Dixon, Timothy D. McFarlane, Shaun J. Grannis, P. Joseph Gibson:
Local and State Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the PH WINS. AMIA 2019 - 2018
- [c45]Brian E. Dixon, Zuoyi Zhang, P. Joseph Gibson, Debra Revere, Shaun J. Grannis:
Improving Population Health Reporting through Information Exchange Supported Decision Support: A Controlled Before-and-After Trial. AMIA 2018 - [c44]Shaun J. Grannis, Joshua R. Vest, Chirag Patel, Elle Holbrook, Brian E. Dixon:
Navigating the Exposome: Real-World Experiences Connecting Environment, Community, and Behavior to Health. AMIA 2018 - 2017
- [j17]Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis:
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. J. Biomed. Informatics 69: 160-176 (2017) - [j16]Brian E. Dixon, Zuoyi Zhang, Patrick Lai, Uzay Kirbiyik, Jennifer L. Williams, Rebecca A. Hills, Debra Revere, P. Joseph Gibson, Shaun J. Grannis:
Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department. BMC Medical Informatics Decis. Mak. 17(1): 87:1-87:8 (2017) - [c39]Matthias Kochmann, Jiachen Wang, Brian E. Dixon, Suranga Nath Kasthurirathne, Shaun J. Grannis:
Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data. AMIA 2017 - 2016
- [j15]Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis:
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection. J. Biomed. Informatics 60: 145-152 (2016) - [c34]Samar Binkheder, Brian E. Dixon, Shaun J. Grannis:
Transmission of ELR messages To Improve Public Health Reporting. AMIA 2016 - [c33]Brian E. Dixon, Jon D. Duke, Shaun J. Grannis:
Methods to Measure and Improve the Quality of Large Scale Health Data: An Application in Public Health Surveillance. AMIA 2016 - 2015
- [c29]Brian E. Dixon, P. Joseph Gibson, Shaun J. Grannis:
Improving Vaccine-Preventable Disease Reporting through Health Information Exchange. AMIA 2015 - [c28]Brian E. Dixon, Marty LaVenture, Bill Brand, Arthur J. Davidson, Shaun J. Grannis:
The Informatics Workforce for Population Health: Challenges, Initiatives and the Path Forward. AMIA 2015 - [c27]Brian E. Dixon, Patrick Lai, Uzay Kirbiyik, Zuoyi Zhang, Debra Revere, Rebecca A. Hills, P. Joseph Gibson, Jennifer L. Williams, Shaun J. Grannis:
Completeness and Timeliness of Notifiable Disease Surveillance Data Submitted by Providers to Public Health Authorities. AMIA 2015 - [c26]Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne:
Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. AMIA 2015 - [c25]Suranga Nath Kasthurirathne, Brian E. Dixon, Shaun J. Grannis:
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches. MedInfo 2015: 1070 - 2014
- [j14]Brian E. Dixon, Daniel J. Vreeman, Shaun J. Grannis:
The long road to semantic interoperability in support of public health: Experiences from two states. J. Biomed. Informatics 49: 3-8 (2014) - [c22]Debra Revere, Jennifer L. Williams, Rebecca A. Hills, Shaun J. Grannis, Brian E. Dixon:
Using participatory design to optimize capture of information needed for public health reporting processes. AMIA 2014 - 2013
- [j12]Brian E. Dixon, Roland E. Gamache, Shaun J. Grannis:
Towards public health decision support: a systematic review of bidirectional communication approaches. J. Am. Medical Informatics Assoc. 20(3): 577-583 (2013) - [j10]Brian E. Dixon, Shaun J. Grannis, Debra Revere:
Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol. BMC Medical Informatics Decis. Mak. 13: 121 (2013) - [c21]Brian E. Dixon, Shaun J. Grannis, Mark Tucker, Debbie Hemler:
The Regenstrief Notifiable Condition Detector - Automated Public Health Reporting using Routine Electronic Laboratory Data. AMIA 2013 - [c20]Brian E. Dixon, Patrick Lai, Shaun J. Grannis:
Variation in Information Needs and Quality: Implications for Public Health Surveillance and Biomedical Informatics. AMIA 2013 - [c19]Brian E. Dixon, Marc B. Rosenman, Shaun J. Grannis:
Measuring and Improving the Fitness of Electronic Clinical Data for Reuse in Public Health, Research, and Other Use Cases. AMIA 2013 - [c18]Shaun J. Grannis, Brian E. Dixon, Siaw-Teng Liaw, Michael G. Kahn, Hamish Fraser:
How Fit is Electronic Health Data for its Intended Uses? Exploring Data Quality across Clinical, Public Health, and Research Use Cases. AMIA 2013 - [c16]Brian E. Dixon, Marc B. Rosenman, Yuni Xia, Shaun J. Grannis:
A Vision for the Systematic Monitoring and Improvement of the Quality of Electronic Health Data. MedInfo 2013: 884-888 - 2012
- [c15]Roland E. Gamache, Shaun J. Grannis, Brian Edward Dixon, Daniel J. Vreeman:
Impact of Selective Mapping Strategies on Automated Laboratory Result Notification to Public Health Authorities. AMIA 2012 - [c14]Judy Gichoya, Brian E. Dixon, John T. Finnell, Daniel J. Vreeman, Roland E. Gamache, Shaun J. Grannis:
An Evaluation of the Rates of Repeat Notifiable Disease Reporting and Patient Crossover Using a Health Information Exchange-based Automated Electronic Laboratory Reporting System. AMIA 2012
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