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Measuring success: perspectives from three optimization programs on assessing impact in the age of burnout.

Eli M LourieLindsay A StevensEmily C Webber
Published in: JAMIA open (2020)
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.
Keyphrases
  • electronic health record
  • healthcare
  • adverse drug
  • primary care
  • public health
  • emergency department
  • mental health
  • cross sectional
  • machine learning
  • clinical practice
  • metabolic syndrome
  • deep learning