Machine learning model predicts physician turnover

Physician turnover is disruptive to patients and costly to health care facilities and physicians alike. In a new study, Yale researchers have used machine learning to reveal the factors—including the length of a physician's tenure, their age, and the complexity of their cases—that can increase the risks of such turnover.