{"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 Patient Falls Before They Happen","slug":"how-ai-predicts-patient-falls-before-they-happen","published_at":"2026-06-10T20:00:54+00:00","page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-patient-falls-before-they-happen","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-0043.mp3","audio_url":"https://audio.fexingo.com/business/healthtech-talks/episode-0043.mp3","summary":"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","meta_description":"More than one million patient falls occur in U.S. hospitals each year, leading to fractures, longer stays, and liability costs exceeding $50 billion annua…","key_points":[],"chapters":[],"topics":[],"duration_seconds":744,"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-patient-falls-before-they-happen/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-patient-falls-before-they-happen.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}