How AI Is Reshaping Hospital OR Scheduling

Episode 52 of Healthtech Talks digs into one of the most stubborn operational headaches in healthcare: operating room scheduling. Lucas and Luna explore how Northwestern Memorial Hospital in Chicago used machine learning to cut unused OR time by 18% in 2025, saving $4.2 million annually. They walk through the specific model—a gradient-boosted decision tree trained on case duration, surgeon preferences, and patient comorbidities—and explain why simple averages fail. The episode also touches on the human resistance from surgeons who felt the AI encroached on their autonomy, and how the hospital ultimately blended algorithmic predictions with a weekly surgeon review. A concrete look at where healthtech meets operations, without the hype. #AIinHealthcare #ORScheduling #NorthwesternMemorial #GradientBoosting #HealthtechOperations #MachineLearning #HospitalEfficiency #SurgicalScheduling #PredictiveAnalytics #OperatingRoom #HealthcareLogistics #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #HealthtechTalks #DigitalHealth #HospitalManagement #AIOperations Keep every episode free: buymeacoffee.com/fexingo