『Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software』のカバーアート

Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software

Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software

著者: Fexingo
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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 for healthcare executives, venture investors, clinicians evaluating tools, and policy analysts who want substance over slogans. Lucas and Luna don't do 'will robots replace doctors' speculation; they ask: What is the unit economics of a virtual primary care visit? Which medical specialties are most ripe for software disruption? And when will the evidence catch up to the pitch deck? #HealthtechTalks #DigitalHealth #Telemedicine #MedicalSoftware #HealthIT #FexingoBusiness #BusinessPodcast #Technology #HealthcareInnovation #HealthPolicy #AIinHealthcare #RemotePatientMonitoring #DigitalTherapeutics #ValueBasedCare #EpicSystems #Teladoc #Aidoc #BabylonHealth Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How AI Is Predicting Alzheimer's Years Before Symptoms
    2026/07/21
    In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being trained to detect early biomarkers of Alzheimer's disease — years before clinical symptoms appear. They focus on a landmark 2024 study from the University of California San Francisco, where an AI model analyzed routine brain MRI scans and electronic health records to predict Alzheimer's onset with 92 percent accuracy up to six years in advance. The hosts break down how the model works, what biomarkers it looks for, why early detection matters for clinical trials and drug development, and the challenges of integrating such tools into standard care. They also touch on the ethical questions around screening asymptomatic patients. It's a deep dive into one of the most promising applications of AI in neurology — and what it could mean for the 55 million people living with dementia worldwide. #AlzheimersPrediction #AIinNeurology #EarlyDetection #BrainMRI #HealthtechTalks #FexingoBusiness #BusinessAndTechnology #BusinessPodcast #DigitalHealth #MedicalAI #UCSF #MachineLearning #Biomarkers #CognitiveDecline #DrugTrials #NeurodegenerativeDisease #HealthData #ClinicalAI Keep every episode free: buymeacoffee.com/fexingo
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    14 分
  • How AI Is Tuning Cochlear Implants for Better Hearing
    2026/07/21
    In this episode of Healthtech Talks, Lucas and Luna dive into a surprising use of artificial intelligence: optimizing cochlear implant programming. Cochlear implants have transformed hearing for hundreds of thousands of people worldwide, but fitting them traditionally requires multiple painful visits to an audiologist—and outcomes vary widely. Now, a team at the University of Texas at Dallas has developed an AI system that can tune implant parameters based on patient feedback in real time, reducing fitting time from hours to minutes and improving speech perception scores by an average of 18 percent. The hosts discuss how the AI works, why personalization matters so much, and what this means for the broader trend of AI-assisted medical device configuration. They also touch on the economics: more efficient fittings mean lower costs for clinics and better utilization of scarce audiologist time. A fresh angle on AI in healthtech that connects engineering, neuroscience, and patient experience. #Healthtech #AI #CochlearImplants #DigitalHealth #MedicalSoftware #ArtificialIntelligence #HearingLoss #Audiology #UniversityOfTexasAtDallas #PersonalizedMedicine #MedicalDevices #SpeechPerception #NeuralNetworks #ClinicalAI #PatientExperience #BusinessAndTechnology #FexingoBusiness #HealthtechTalks Keep every episode free: buymeacoffee.com/fexingo
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    7 分
  • How AI Is Matching Patients to the Right Hospital Bed
    2026/07/20
    In this episode of Healthtech Talks, Lucas and Luna explore how AI-powered bed management is transforming hospital operations. They focus on a specific case: how Johns Hopkins Hospital used machine learning to predict bed demand and reduce emergency department boarding times by 37 percent. The hosts break down the algorithm's inputs, the cultural resistance from nursing staff, and the unexpected outcome that AI actually improved nurse satisfaction. They also touch on the economics: how a typical 500-bed hospital can save up to $8 million annually by reducing length of stay and avoidable transfers. No hype, just the operational reality of matching patients to beds in real time. #HealthtechTalks #AIBedManagement #HospitalOperations #JohnsHopkins #MachineLearning #PatientFlow #EmergencyDepartment #NurseSatisfaction #LengthOfStay #OperationalEfficiency #PredictiveAnalytics #DigitalHealth #Telemedicine #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #HealthIT #ClinicalDecisionSupport Keep every episode free: buymeacoffee.com/fexingo
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    10 分
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