{"podcast":{"title":"Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software","slug":"healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821","podcast_index_feed_id":7871821,"rss_url":"https://feeds.fexingo.com/business/healthtech-talks.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/healthtech-talks/cover.png","author":"Fexingo","episode_count":104,"summary":"Every day, a new health technology company claims to reinvent healthcare. Which ones actually improve patient outcomes, and which are just repackaging old inefficiencies with better user interfaces? In Healthtech Talks with Fexingo, Lucas and Luna cut through the hype to examine the real economics and clinical evidence behind digital health, telemedicine, and medical software. They analyze specific companies — from telemedicine platforms like Teladoc to AI diagnostic tools from Aidoc — dissecting their business models, regulatory hurdles, and adoption curves. Lucas brings a journalist's precision to revenue numbers, clinical trial data, and policy changes (e.g., FDA digital health guidance, CMS telehealth reimbursement rules). Luna challenges assumptions about scalability, patient privacy, and equity of access, grounded in real-world case studies like Babylon Health's rise and fall or the integration of Epic Systems across hospital networks. Each episode focuses on a single topic: how remote patient monitoring platforms affect readmission rates, whether AI scribes actually reduce physician burnout, why some digital therapeutics succeed while others fail FDA clearance. This show is…","last_synced_at":"2026-07-11T14:19:18.527325+00:00","page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821"},"episode":{"title":"How AI Predicts Hospital Readmissions Within 30 Days","slug":"how-ai-predicts-hospital-readmissions-within-30-days","published_at":"2026-06-30T20:30:36+00:00","page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-hospital-readmissions-within-30-days","show_page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821","url":"https://audio.fexingo.com/business/healthtech-talks/episode-0083.mp3","audio_url":"https://audio.fexingo.com/business/healthtech-talks/episode-0083.mp3","summary":"Episode 83 of Healthtech Talks with Fexingo dives into how machine learning models are now predicting which patients are likely to be readmitted within 30 days of discharge. Lucas and Luna explore a concrete case: a 450-bed community hospital in Ohio that deployed a predictive model trained on EHR data — vitals, lab results, medication changes, and social determinants like housing stability. The model reduced readmissions by 18 percent in six months. They discuss how the algorithm flags high-risk patients before discharge, prompting targeted interventions like pharmacist-led medication reconciliation or follow-up calls within 48 hours. The hosts also break down the key features that drive predictions: number of prior admissions, hemoglobin A1c trends, and whether the patient lives alone. They cover the practical challenges — data integration from legacy systems, clinician buy-in, and avoiding bias against vulnerable populations. The episode avoids hype, focusing on what's actually working in hospitals today and what's still aspirational. A grounded look at one of healthcare's most costly problems and how AI is chipping away at it. #HospitalReadmissions #PredictiveAnalytics #MachineLearning #AIinHealthcare #ClinicalDecisionSupport #PatientOutcomes #EHR #SocialDeterminants #Ohio #Healthtech #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #HealthIT #CareCoordination #DischargePlanning #RiskStratification #30DayReadmission Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 83 of Healthtech Talks with Fexingo dives into how machine learning models are now predicting which patients are likely to be readmitted within 30…","key_points":[],"chapters":[],"topics":[],"duration_seconds":636,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/episodes/how-ai-predicts-hospital-readmissions-within-30-days/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-hospital-readmissions-within-30-days.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}