Measuring success: perspectives from three optimization programs on assessing impact in the age of burnout
- PMID: 33655200
- PMCID: PMC7903326
- DOI: 10.1093/jamiaopen/ooaa056
Measuring success: perspectives from three optimization programs on assessing impact in the age of burnout
Abstract
Electronic health record (EHR) optimization has been identified as a best practice to reduce burnout and improve user satisfaction; however, measuring success can be challenging. The goal of this manuscript is to describe the limitations of measuring optimizations and opportunities to combine assessments for a more comprehensive evaluation of optimization outcomes. The authors review lessons from 3 U.S. healthcare institutions that presented their experiences and recommendations at the American Medical Informatics Association 2020 Clinical Informatics conference, describing uses and limitations of vendor time-based reports and surveys utilized in optimization programs. Compiling optimization outcomes supports a multi-faceted approach that can produce assessments even as time-based reports and technology change. The authors recommend that objective measures of optimization must be combined with provider and clinician-defined value to provide long term improvements in user satisfaction and reduce EHR-related burnout.
Keywords: burnout; efficiency; electronic health record (EHR); optimization.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Figures
References
-
- Verghese A. How tech can turn doctors into clerical workers. The New York Times Magazine. May 2018.
-
- Gawande A. Why doctors hate their computers. The New Yorker. November 2018.
-
- Sieja A, Markley K, Pell J, et al. Optimization sprints: improving clinician satisfaction and teamwork by rapidly reducing electronic health record burden. Mayo Clin Proc 2019; 94(5): 793–802. - PubMed
Publication types
LinkOut - more resources
Full Text Sources