Browsing by Author "Hribar, Michelle R."

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    Guidance for reporting analyses of metadata on electronic health record use
    (American Medical Informatics Association, 2024) Rule, Adam; Kannampallil, Thomas; Hribar, Michelle R.; Dziorny, Adam C.; Thombley, Robert; Apathy, Nate C.; Adler-Milstein, Julia; Center for Biomedical Informatics
    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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    Measures of electronic health record use in outpatient settings across vendors
    (Oxford University Press, 2021) Baxter, Sally L.; Apathy, Nate C.; Cross, Dori A.; Sinsky, Christine; Hribar, Michelle R.; Health Policy and Management, Richard M. Fairbanks School of Public Health
    Electronic health record (EHR) log data capture clinical workflows and are a rich source of information to understand variation in practice patterns. Variation in how EHRs are used to document and support care delivery is associated with clinical and operational outcomes, including measures of provider well-being and burnout. Standardized measures that describe EHR use would facilitate generalizability and cross-institution, cross-vendor research. Here, we describe the current state of outpatient EHR use measures offered by various EHR vendors, guided by our prior conceptual work that proposed seven core measures to describe EHR use. We evaluate these measures and other reporting options provided by vendors for maturity and similarity to previously proposed standardized measures. Working toward improved standardization of EHR use measures can enable and accelerate high-impact research on physician burnout and job satisfaction as well as organizational efficiency and patient health.