PHILADELPHIA—The development of a new machine learning model has shown promise in predicting major postoperative complications using clinical measures routinely collected in institutional electronic health record (EHR) systems. If these models prove robust enough for clinical adaptation, they may ultimately be used to target patients for continuous remote monitoring and early warning systems.
“Anywhere from 15% to 20% of surgeries will result in some type of complication, and