Episode
How AI Is Predicting Patient Wait Times in Emergency Rooms
- Published
- Jul 6, 2026
- Duration seconds
- 699
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Summary
Emergency rooms are chaotic by design, but AI is starting to bring order. In this episode, Lucas and Luna explore how hospitals are using machine learning to predict how long you'll wait before seeing a doctor — and why that matters for both patient satisfaction and clinical outcomes. They break down a real deployment at a major health system: how the model ingests real-time data from triage notes, bed availability, staffing schedules, and historical patterns to generate wait-time estimates that are actually useful. They also discuss the ethical tension between transparency and anxiety — is it better to tell someone they'll wait four hours if it's accurate, or does that just drive patients to leave? Featuring specific examples from hospitals in Ohio and California, including the surprising finding that AI-driven wait-time predictions reduced left-without-being-seen rates by 17 percent in a six-month pilot. This is Episode 95 of Healthtech Talks with Fexingo. #AI #MachineLearning #EmergencyMedicine #PatientExperience #WaitTimes #PredictiveAnalytics #Healthtech #HospitalOperations #Triage #ClinicalDecisionSupport #PatientSatisfaction #RealTimeData #OperationalEfficiency #LeftWithoutBeingSeen #OhioHealth #KaiserPermanente #Business #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo