How AI Predicts Patient No-Shows at Your Next Appointment cover art

How AI Predicts Patient No-Shows at Your Next Appointment

How AI Predicts Patient No-Shows at Your Next Appointment

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Every missed appointment costs a clinic money and wastes a slot another patient could have used. In Episode 80, Lucas and Luna explore how health systems are using machine learning models to predict which patients are most likely to miss their appointments — sometimes with 80% accuracy. They dig into a real deployment at a large urban hospital system in the Midwest that cut no-show rates by 18% in six months, and unpack the trade-offs: more reminders can feel naggy, and there's a fine line between nudging and profiling. Lucas explains the specific features that matter most — prior no-show history, appointment lead time, distance from the clinic, weather forecasts — and Luna asks whether this kind of prediction risks penalizing certain patient populations. The episode closes with a look ahead: what happens when scheduling systems automatically double-book high-risk slots. No marketing fluff, just the numbers and the human decisions behind them. #Healthtech #AI #PatientNoShows #PredictiveAnalytics #MachineLearning #HealthcareOperations #ClinicScheduling #Business #Technology #Podcast #FexingoBusiness #BusinessPodcast #HealthIT #PatientEngagement #DataScience #OperationalEfficiency #RevenueCycle #AppointmentReminders Keep every episode free: buymeacoffee.com/fexingo
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