Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures.

ABSTRACT:

Objective

To evaluate the ability of routinely collected electronic health record (EHR) use measures to predict clinical work units at increased risk of burnout and potentially most in need of targeted interventions.

Methods

In this observational study of primary care physicians, we compiled clinical workload and EHR efficiency measures, then linked these measures to 2 years of well-being surveys (using the Stanford Professional Fulfillment Index) conducted from April 1, 2019, through October 16, 2020. Physicians were grouped into training and confirmation data sets to develop predictive models for burnout. We used gradient boosting classifier and other prediction modeling algorithms to quantify the predictive performance by the area under the receiver operating characterist

SUBMITTER: Tawfik D 

PROVIDER: S-EPMC11374508 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature