Studying Physician Work and Wellbeing using Machine Learning and Network Science
Retsef Levi, Massachusetts Institute of Technology (MIT)
In this talk we will discuss how machine learning algorithms and network modeling applied to refined EMR message inbox data could be used to better understand heterogeneity of work composition and team dynamics in primary care clinics, and how they may correlate with physician well-being. The work provide some important insights with respect to the importance of process design and operations of outpatient clinics in mitigating physician burnout.
This is joint work with Celia Escribe and multiple physicians at MGH.