{"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 Post-Surgery Complications Before Symptoms Appear","slug":"how-ai-predicts-post-surgery-complications-before-symptoms-appear","published_at":"2026-07-07T08:19:41+00:00","page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-predicts-post-surgery-complications-before-symptoms-appear","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-0096.mp3","audio_url":"https://audio.fexingo.com/business/healthtech-talks/episode-0096.mp3","summary":"Episode 96 of Healthtech Talks dives into the fast-emerging field of AI-driven post-surgical monitoring. Lucas and Luna examine how hospitals are deploying machine learning models that analyze continuous vital-sign streams—heart rate, respiratory rate, oxygen saturation—from bedside monitors to detect complications like sepsis, internal bleeding, and anastomotic leaks hours before a patient feels anything. The episode centers on a specific deployment at the University of California San Francisco, where an algorithm trained on 50,000 surgical cases reduced unplanned ICU transfers by 29 percent. The hosts walk through how the model works, why current nurse-to-patient ratios make continuous human monitoring impossible, and the tricky implementation challenge: false alarms that exhaust clinicians. They also discuss the economic calculus—a single preventable ICU readmission can cost over $50,000—and whether smaller community hospitals can afford the compute infrastructure. The conversation closes with a look at where this technology is heading: predictive models that recommend specific interventions, not just flag risk. #AISurgery #PostSurgeryMonitoring #UCSF #SepsisPrediction #CriticalCare #MachineLearning #Healthtech #DigitalHealth #Telemedicine #HospitalOperations #PatientSafety #ClinicalAI #PredictiveAnalytics #ICUTransfer #AnastomoticLeak #VitalSigns #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 96 of Healthtech Talks dives into the fast-emerging field of AI-driven post-surgical monitoring. Lucas and Luna examine how hospitals are deployin…","key_points":[],"chapters":[],"topics":[],"duration_seconds":583,"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-post-surgery-complications-before-symptoms-appear/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-post-surgery-complications-before-symptoms-appear.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}