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HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
[article]
2022
arXiv
pre-print
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
arXiv:2205.11680v1
fatcat:vkswcfuf4fhghcosenizxrqlpa