How a Hospital Cut Surgery Cancellations by 40 Percent with Operations

Episode notes

Episode 116 of The Operations Podcast explores how one major teaching hospital slashed day-of-surgery cancellations by 40 percent using a combination of predictive analytics and redesigned pre-op workflows. Lucas and Luna break down the specific process changes: the pre-huddle protocol, the patient readiness score, and the real-time bed tracking system. They also discuss the ripple effects on staff morale, patient satisfaction, and operating room utilization. No fluff - just a concrete case study in operational redesign. #HospitalOperations #SurgeryCancellation #PredictiveAnalytics #ProcessImprovement #PatientReadiness #PreOpWorkflow #OperatingRoomEfficiency #HealthcareOperations #OperationsManagement #Business #FexingoBusiness #BusinessPodcast #LeanHealthcare #DataDriven #CapacityManagement #StaffMorale #PatientSatisfaction #ORUtilization Keep every episode free: buymeacoffee.com/fexingo

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

• AI Meets the Mid-Market: How PE-Backed Companies Are Leapfrogging with AIDisambiguation · on Predictive analytics89 / 100
• Mo (Mohammed) Saadat from StratahubEnergytech Startups · on Predictive analytics86 / 100
• Privacy, Power, and Prediction: Reclaiming Control of Your Personal Data, with Carissa Véliz | Lawyerist PodcastLegal Talk Network · on Predictive analytics85 / 100
• Finding the Students Schools MissTech & Learning Conversations Podcast · on Predictive analytics81 / 100
• Interview with DexCare CEO Derek StreatHealthBiz with David E. Williams · on Predictive analytics77 / 100
• Evolution of TA: Reactive → Strategic, with Kyle Hurley, Head of TA, Medhealth GroupThe HR Community Podcast · on Predictive analytics76 / 100

• How a Steel Plant Cut Unplanned Downtime by 70 Percent with Ops82 / 100
• How a Hospital Cut Readmissions by 25 Percent with Operations86 / 100
• How a Container Port Cut Dwell Time by 40 Percent94 / 100
• How a Coffee Chain Cut Employee Turnover by 50 Percent90 / 100
• How a Data Center Cut Energy Use by 40 Percent91 / 100