# How AI Is Predicting Hospital Readmissions Within 24 Hours

Page: https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-is-predicting-hospital-readmissions-within-24-hours
Text version: https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-is-predicting-hospital-readmissions-within-24-hours.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: 2026-06-11T20:02:25+00:00
Episode link: https://audio.fexingo.com/business/healthtech-talks/episode-0045.mp3
Audio file: https://audio.fexingo.com/business/healthtech-talks/episode-0045.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-is-predicting-hospital-readmissions-within-24-hours
Duration seconds: 437

## Resource

Episode 45 of Healthtech Talks with Fexingo. Lucas and Luna dive into a new wave of AI models that can predict which patients are likely to be readmitted to the hospital within 30 days of discharge — and do it in under 24 hours after admission. They examine a recent study from Mount Sinai Health System in New York, where a deep-learning algorithm trained on electronic health record data achieved an area under the curve of 0.86 — outperforming the traditional LACE index by about 12 percentage points. Lucas explains the three data streams the model uses: vital sign trajectories, medication changes, and nursing notes. Luna questions whether these tools actually change clinician behavior. The episode also explores the operational challenge of turning a prediction into an intervention — like scheduling a follow-up appointment before the patient leaves the bed. Relevant for hospital administrators, health IT leaders, and clinicians tired of being surprised by bounce-backs. #AI #HospitalReadmissions #MountSinai #PredictiveAnalytics #DeepLearning #HealthIT #ElectronicHealthRecords #VitalSigns #NursingNotes #LACEIndex #AUC #30DayReadmission #PopulationHealth #ClinicalDecisionSupport #HospitalOperations #Business #Technology #FexingoBusiness 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-is-predicting-hospital-readmissions-within-24-hours/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-is-predicting-hospital-readmissions-within-24-hours.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.