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 language | English (US) |
|---|---|
| Pages (from-to) | 1057-1061 |
| Number of pages | 5 |
| Journal | Journal of the American Medical Informatics Association |
| Volume | 28 |
| Issue number | 5 |
| DOIs | |
| State | Published - Dec 19 2020 |
Bibliographical note
Publisher Copyright:© 2020 Published by Oxford University Press on behalf of the American Medical Informatics Association. 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