{"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 Is Predicting Hospital Equipment Failures Before They Happen","slug":"how-ai-is-predicting-hospital-equipment-failures-before-they-happen","published_at":"2026-07-01T20:33:23+00:00","page_url":"https://stenobird.com/podcast/healthtech-talks-with-fexingo-digital-health-telemedicine-and-medical-software-7871821/how-ai-is-predicting-hospital-equipment-failures-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-0085.mp3","audio_url":"https://audio.fexingo.com/business/healthtech-talks/episode-0085.mp3","summary":"Lucas and Luna explore how a growing number of hospitals are using AI to predict equipment failures before they disrupt patient care. They focus on the case of Baptist Health in Florida, which deployed a predictive maintenance platform on 4,500 infusion pumps and reduced unplanned downtime by 38 percent. The conversation covers how vibration sensors, temperature logs, and utilisation data feed machine-learning models trained on years of repair records. Lucas breaks down the cost calculus: a single infusion pump failure in an ICU can cost $10,000 in delayed procedures and emergency rentals. Luna raises the question of vendor lock-in and whether hospitals risk handing too much control to software providers. They also touch on the broader market for predictive maintenance in healthcare, which is projected to reach $2.8 billion by 2028 according to a recent MarketsandMarkets report. This episode offers a concrete look at how operational AI moves beyond clinical decision support into the nuts and bolts of hospital infrastructure. #PredictiveMaintenance #HospitalEquipment #AIinHealthcare #BaptistHealth #InfusionPumps #OperationalAI #MedicalDevices #DowntimeReduction #MachineLearning #HealthTech #PatientSafety #HospitalOperations #IoT #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DigitalHealth #HealthtechTalks Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Lucas and Luna explore how a growing number of hospitals are using AI to predict equipment failures before they disrupt patient care. They focus on the ca…","key_points":[],"chapters":[],"topics":[],"duration_seconds":704,"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-is-predicting-hospital-equipment-failures-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-is-predicting-hospital-equipment-failures-before-they-happen.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}