Building the evidence-base to reduce electronic health record–related clinician burden. (19th December 2020)

• Record Type: Journal Article
• Authors: Dymek, Christine; Kim, Bryan; Melton, Genevieve B; Payne, Thomas H; Singh, Hardeep; Hsiao, Chun-Ju
• Is Part Of: Journal of the American Medical Informatics Association. Volume 28:Number 5(2021)
• Page Start: 1057
• Page End: 1061
• Publication Date: 2020-12-19
• Subjects: electronic health records -- clinician burnout -- health information technology -- usability -- workflow; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocaa238
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: Clinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians' experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speech recognition technologies, natural language processing, artificial intelligence, and redesign of EHR workflow and user interfaces. We also offer a perspective on how EHR vendors, healthcare system leaders, and policymakers all play an integral role while sharing responsibility in helping make evidence-based sociotechnical solutions available and easy to use.