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

Fexingo

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

  1. 1d ago

    How AI Is Automating Prior Authorization in Healthcare

    In this episode of Healthtech Talks with Fexingo, Lucas and Luna dive into the growing use of artificial intelligence to automate prior authorization in healthcare. They explore why prior authorization remains one of the most frustrating administrative burdens for physicians and patients alike, often causing treatment delays of days or weeks. Lucas breaks down the scale of the problem: over 40 million prior authorization requests per year in the U.S., costing physicians an estimated $120,000 annually per practice in administrative time. They discuss specific AI companies like Cohere Health and Olive that are using natural language processing and machine learning to pre-validate requests against payer policies in real time, reducing turnaround from days to minutes. Luna shares how her friend's mother waited three weeks for a CT scan approval only to be denied—a common story that highlights the human cost. They also examine the pushback from insurers and the regulatory landscape, including the Centers for Medicare and Medicaid Services' recent proposed rule requiring payers to adopt electronic prior authorization by 2027. The episode closes with a reflection on whether AI can finally make the prior authorization process frictionless, or if deeper systemic reforms are needed. #AI #PriorAuthorization #Healthtech #HealthcareAI #MedicalBilling #CohereHealth #Olive #CMS #AdministrativeBurden #NLP #MachineLearning #DigitalHealth #PhysicianBurnout #HealthPolicy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo

    13 min
  2. 2d ago

    How AI Is Detecting Depression From Your Speech Patterns

    In this episode of Healthtech Talks, hosts Lucas and Luna explore how artificial intelligence is being used to detect depression and other mental health conditions from subtle changes in a person's speech patterns. They dive into the science behind vocal biomarkers and how startups like Sonde Health and Kintsugi are training AI models on thousands of voice samples to identify signs of depression with over 80% accuracy. Lucas explains the acoustic features that change when someone is depressed — like slower speech rate, reduced pitch variability, and altered resonance — and how these can be detected by machine learning algorithms trained on clinical data. The conversation also covers the ethical challenges: privacy concerns, bias in training data, and the risk of false positives. Luna raises the question of whether this technology could be used by insurance companies to deny coverage. Lucas acknowledges the concern but notes that current applications focus on clinical screening and monitoring, not risk assessment. They discuss real-world deployments in telehealth platforms and crisis hotlines, where an AI system can prompt a clinician to follow up if a patient's vocal patterns shift. The episode ends with Lucas noting that while the technology is promising, it's still early days — and the biggest hurdles are ethical, not technical. #AI #MentalHealth #Depression #VoiceBiomarkers #Healthtech #DigitalHealth #SondeHealth #Kintsugi #MachineLearning #Telemedicine #SpeechAnalysis #ClinicalAI #Ethics #Privacy #VocalBiometrics #HealthcareAI #Business #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

    13 min

About

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