HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records. (arXiv:2205.11680v1 [cs.LG])

Burnout is a significant public health concern affecting nearly half of the
healthcare workforce. This paper presents the first end-to-end deep learning
framework for predicting physician burnout based on clinician activity logs,
digital traces of their work activities, available in any electronic health
record (EHR) system. In contrast to prior approaches that exclusively relied on
surveys for burnout measurement, our framework directly learns deep workload
representations from large-scale clinician activity logs to predict burnout. We
propose the Hierarchical burnout Prediction …

arxiv burnout electronic framework health logs prediction records