Your browser doesn't support javascript.
loading
Guidance for reporting analyses of metadata on electronic health record use.
Rule, Adam; Kannampallil, Thomas; Hribar, Michelle R; Dziorny, Adam C; Thombley, Robert; Apathy, Nate C; Adler-Milstein, Julia.
Affiliation
  • Rule A; Information School, University of Wisconsin-Madison, Madison, WI 53706, United States.
  • Kannampallil T; Department of Anesthesiology, Washington University School of Medicine, St Louis, MO 63110, United States.
  • Hribar MR; Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, St Louis, MO 63110, United States.
  • Dziorny AC; Office of Data Science and Health Informatics, National Eye Institute, National Institute of Health, Bethesda, MD 20892, United States.
  • Thombley R; Department of Ophthalmology, Casey Eye Institute, Portland, OR 97239, United States.
  • Apathy NC; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, United States.
  • Adler-Milstein J; Department of Pediatrics, University of Rochester School of Medicine, Rochester, NY 14642, United States.
J Am Med Inform Assoc ; 31(3): 784-789, 2024 02 16.
Article in En | MEDLINE | ID: mdl-38123497
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Health Records / Metadata Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Estados Unidos Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electronic Health Records / Metadata Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Estados Unidos Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM