Guidance for reporting analyses of metadata on electronic health record use

Author:

Rule Adam1ORCID,Kannampallil Thomas23ORCID,Hribar Michelle R456ORCID,Dziorny Adam C7ORCID,Thombley Robert8,Apathy Nate C910ORCID,Adler-Milstein Julia8

Affiliation:

1. Information School, University of Wisconsin-Madison , Madison, WI 53706, United States

2. Department of Anesthesiology, Washington University School of Medicine , St Louis, MO 63110, United States

3. Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine , St Louis, MO 63110, United States

4. Office of Data Science and Health Informatics, National Eye Institute, National Institute of Health , Bethesda, MD 20892, United States

5. Department of Ophthalmology, Casey Eye Institute , Portland, OR 97239, United States

6. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University , Portland, OR 97239, United States

7. Department of Pediatrics, University of Rochester School of Medicine , Rochester, NY 14642, United States

8. Department of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco , San Francisco, CA 94118, United States

9. National Center for Human Factors in Healthcare, MedStar Health Research Institute , Washington, DC 20782, United States

10. Center for Biomedical Informatics, Regenstrief Institute Inc , Indianapolis, IN 46202, United States

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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