# How AI Predicts Patient Falls Before They Happen

Page: https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-patient-falls-before-they-happen
Text version: https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-patient-falls-before-they-happen.md
Podcast: [Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software](https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821)
Published: 2026-06-10T20:00:54+00:00
Episode link: https://audio.fexingo.com/business/healthtech-talks/episode-0043.mp3
Audio file: https://audio.fexingo.com/business/healthtech-talks/episode-0043.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/episodes/how-ai-predicts-patient-falls-before-they-happen
Duration seconds: 744

## Resource

More than one million patient falls occur in U.S. hospitals each year, leading to fractures, longer stays, and liability costs exceeding $50 billion annually. Traditional risk scores like the Morse scale rely on manual assessments that miss 40% of fallers. In this episode, Lucas and Luna examine how Mount Sinai and Stanford Medicine are deploying computer vision and electronic health record algorithms that predict falls up to two hours in advance. They dig into a 2025 JAMA Internal Medicine study showing a 23% reduction in fall rates when nurses receive AI-generated alerts, and they debate the privacy trade-offs of using overhead depth sensors versus wearable tags. Fresh angle: the shift from reactive fall prevention (bed alarms, sitters) to proactive risk stratification—and why health systems are starting to buy this technology even without reimbursement codes. #AIHealthcare #PatientSafety #FallPrevention #ComputerVision #PredictiveAnalytics #MountSinai #StanfordMedicine #JAMAInternalMedicine #HealthTech #HospitalInnovation #MorseScale #DepthSensors #MedicalAI #NursingAI #RiskStratification #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/episodes/how-ai-predicts-patient-falls-before-they-happen/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-patient-falls-before-they-happen.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.