Building the evidence-base to reduce electronic health record-related clinician burden

Christine Dymek, Bryan Kim, Genevieve B. Melton, Thomas H. Payne, Hardeep Singh, Chun Ju Hsiao

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1057-1061
Number of pages5
JournalJournal of the American Medical Informatics Association : JAMIA
Volume28
Issue number5
DOIs
StatePublished - Dec 19 2020

Bibliographical note

Publisher Copyright:
Published by Oxford University Press on behalf of the American Medical Informatics Association 2020. This work is written by US Government employees and is in the public domain in the US.

Keywords

  • clinician burnout
  • electronic health records
  • health information technology
  • usability
  • workflow

PubMed: MeSH publication types

  • Journal Article
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

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