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Apathy NC, Zabala G, Gomes K, Spaar P, Krevat SA, Ratwani RM. Telemedicine and In-Person Visit Modality Mix and Electronic Health Record Use in Primary Care. JAMA Netw Open 2024; 7:e248060. [PMID: 38656580 PMCID: PMC11043894 DOI: 10.1001/jamanetworkopen.2024.8060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 02/22/2024] [Indexed: 04/26/2024] Open
Abstract
This cross-sectional study investigates the association between day-to-day changes in telemedicine share and clinician time spent on electronic health record (EHR) use.
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Affiliation(s)
- Nate C. Apathy
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
| | - Garrett Zabala
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
| | - Kylie Gomes
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
- Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC
| | - Patti Spaar
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
| | - Seth A. Krevat
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
- Department of General Internal Medicine, Georgetown University School of Medicine, Washington, DC
| | - Raj M. Ratwani
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC
- Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC
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Rule A, Kannampallil T, Hribar MR, Dziorny AC, Thombley R, Apathy NC, Adler-Milstein J. Guidance for reporting analyses of metadata on electronic health record use. J Am Med Inform Assoc 2024; 31:784-789. [PMID: 38123497 PMCID: PMC10873840 DOI: 10.1093/jamia/ocad254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
INTRODUCTION Research on how people interact with electronic health records (EHRs) increasingly involves the analysis of metadata on EHR use. These metadata can be recorded unobtrusively and capture EHR use at a scale unattainable through direct observation or self-reports. However, there is substantial variation in how metadata on EHR use are recorded, analyzed and described, limiting understanding, replication, and synthesis across studies. RECOMMENDATIONS In this perspective, we provide guidance to those working with EHR use metadata by describing 4 common types, how they are recorded, and how they can be aggregated into higher-level measures of EHR use. We also describe guidelines for reporting analyses of EHR use metadata-or measures of EHR use derived from them-to foster clarity, standardization, and reproducibility in this emerging and critical area of research.
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Affiliation(s)
- Adam Rule
- Information School, University of Wisconsin-Madison, Madison, WI 53706, United States
| | - Thomas Kannampallil
- Department of Anesthesiology, Washington University School of Medicine, St Louis, MO 63110, United States
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, St Louis, MO 63110, United States
| | - Michelle R Hribar
- Office of Data Science and Health Informatics, National Eye Institute, National Institute of Health, Bethesda, MD 20892, United States
- Department of Ophthalmology, Casey Eye Institute, Portland, OR 97239, United States
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, United States
| | - Adam C Dziorny
- Department of Pediatrics, University of Rochester School of Medicine, Rochester, NY 14642, United States
| | - Robert Thombley
- Department of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA 94118, United States
| | - Nate C Apathy
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC 20782, United States
- Center for Biomedical Informatics, Regenstrief Institute Inc, Indianapolis, IN 46202, United States
| | - Julia Adler-Milstein
- Department of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA 94118, United States
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Error in Funding Information. JAMA Intern Med 2024; 184:228. [PMID: 38147323 PMCID: PMC10844989 DOI: 10.1001/jamainternmed.2023.7419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
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