The Digital Health Podcast with Fexingo: Wearables, Diagnostics, and Health Software

Episode 136 dives into the quiet revolution happening at the intersection of wearables and pharmaceutical R&D. The FDA recently updated its guidance on using data from smartwatches and fitness trackers in clinical trials, opening the door for drug companies to recruit patients remotely, monitor them around the clock, and generate real-world evidence faster than traditional site visits. We look at how one mid-size biotech used off-the-shelf Fitbits to track heart rate and activity in a 500-patient cardiovascular trial, reducing dropouts by 30% and spotting adverse events two weeks earlier than scheduled check-ins. Lucas and Luna discuss the cost savings—digital trials can slash patient monitoring costs by 40%—the regulatory hurdles still remaining, and what it means for the future of drug approval when your everyday health data becomes a primary endpoint. Also, a brief note on how listener support keeps this podcast independent and ad-free.

#Wearables #ClinicalTrials #DrugDevelopment #FDA #DigitalHealth #HealthTech #Pharmaceuticals #RemoteMonitoring #PatientData #FexingoBusiness #BusinessPodcast #DigitalHealthPodcast #WearableTech #RegulatoryGuidance #ClinicalResearch #HealthInnovation #DataDriven #Biotech

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Continuous glucose monitors (CGMs) have long been a tool for diabetics. But in 2026, companies like Dexcom and Abbott are marketing them directly to healthy consumers for metabolic optimization. Lucas and Luna explore the business model behind this shift: subscription revenue from a massive addressable market, the role of AI in interpreting real-time glucose data, and the concerns over medicalizing everyday eating. They examine startup players like Levels and Nutrisense, the threat from Apple's rumored non-invasive CGM, and the question of whether most people actually need or understand this data. A specific look at how digital health is blurring the line between medical device and wellness gadget.

#ContinuousGlucoseMonitor #Dexcom #Abbott #Levels #Nutrisense #DigitalHealth #Wearables #MetabolicHealth #FDA #Biohacking #AI #HealthTech #Business #SubscriptionModel #AppleCGM #Personomics #FexingoBusiness #BusinessPodcast

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Remote patient monitoring (RPM) has long been a promising idea—but could hospitals actually make money from it? In this episode, Lucas and Luna explore how the Centers for Medicare & Medicaid Services (CMS) expanded reimbursement codes in 2024 to cover more chronic conditions, turning RPM into a viable revenue stream. They examine a real-world example: a mid-sized hospital system in Ohio that cut readmission rates by 18% while generating $2.3 million in new RPM revenue in its first year. They break down the economics: the upfront hardware costs, the staffing model for remote monitoring, and the per-patient reimbursement of roughly $50 per month under the new codes. Lucas also discusses the role of smartwatch and tablet data integration, and why RPM startups are now being acquired by larger health systems. The hosts debate whether this shift truly improves outcomes or just adds another billing layer—and what it means for the future of at-home care.

#RemotePatientMonitoring #CMS #Reimbursement #DigitalHealth #HospitalEconomics #ReadmissionRates #HealthcareBusiness #Business #Technology #HealthTech #Startups #Medicare #ChronicCare #Wearables #Smartwatch #PatientOutcomes #FexingoBusiness #BusinessPodcast

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Major health insurers like UnitedHealthcare are now offering free smartwatches to members who complete health assessments and share activity data. Hosts Lucas and Luna unpack the business logic behind this trend, from the Motley Fool-ish gamble on preventive savings to the hidden costs of data collection and adverse selection. They examine a JAMA study on step-count increases, the healthy-volunteer effect, and the privacy risks of insurers building risk profiles from wearable data. Is this a win-win or a privacy minefield? The episode also touches on regulatory oversight and the future of value-based insurance design. A focused look at how the intersection of wearables and insurance is reshaping the economics of healthcare.

#DigitalHealth #Wearables #Smartwatches #HealthInsurance #Insurtech #UnitedHealthcare #Fitbit #AppleWatch #DataPrivacy #HealthData #PreventiveCare #Wellness #BusinessModel #HealthcareCosts #AdverseSelection #HealthPolicy #FexingoBusiness #BusinessPodcast

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Over 50 digital therapeutics have FDA clearance, yet most have been prescribed to fewer than 10,000 patients. Lucas and Luna explore the business and adoption barriers facing prescription health apps, from insurance reimbursement to physician awareness. They examine the case of EndeavorRx, the first FDA-cleared video game treatment for ADHD, and reSET-O for opioid use disorder. Why does clinically proven software still struggle to reach patients? This episode offers a grounded look at the gap between regulatory approval and commercial reality in digital health.

#DigitalTherapeutics #PrescriptionApps #FDAClearance #HealthTech #AdoptionBarriers #EndeavorRx #ADHD #OpioidUseDisorder #Reimbursement #Insurance #ClinicalIntegration #BusinessOfHealth #FexingoBusiness #BusinessPodcast #DigitalHealth #SoftwareAsMedicine #Regulatory #HealthEconomics

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Lucas and Luna explore how smartphone-based hearing tests are challenging traditional audiometry. They discuss a 2024 study from the University of Washington showing that a combination of a phone's microphone and speaker can detect hearing loss with over 90% accuracy compared to clinical tests. The episode covers the science behind calibrated sound delivery, the role of AI in compensating for phone-to-phone variability, and what this means for the 1.5 billion people worldwide with undiagnosed hearing loss. They also look at real-world apps like Mimi and hearScreen that are already FDA-cleared, and question whether insurance will cover these digital screenings. A concrete look at how the device in your pocket is becoming a diagnostic powerhouse.

#HearingLoss #SmartphoneDiagnostics #DigitalHealth #Audiometry #AIInHealthcare #UniversityOfWashington #HearingTest #MimiHearing #hearScreen #FDA #Telehealth #AccessibleHealthcare #PublicHealth #Business #Technology #FexingoBusiness #BusinessPodcast #DigitalHealthPodcast

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In this episode of The Digital Health Podcast, Lucas and Luna explore how your smartwatch might soon help detect early-stage liver disease before symptoms appear. They focus on a 2025 study from the University of Cambridge that used smartwatch data — heart rate variability, sleep patterns, and step counts — to predict non-alcoholic fatty liver disease (NAFLD) with 82 percent accuracy. The hosts discuss the study's methodology, the limitations of current liver diagnostics, and what this means for the future of wearable-based screening. They also touch on the role of AI in analyzing longitudinal health data and the privacy implications of continuous monitoring. If you're interested in how wearables are expanding beyond fitness into preventive medicine, this episode offers a detailed look at one promising frontier.

#SmartwatchLiverDetection #NAFLD #WearableHealth #DigitalHealth #PreventiveMedicine #CambridgeStudy #HeartRateVariability #SleepTracking #StepCount #AIDiagnostics #LiverDisease #Business #Technology #HealthTech #Wearables #FexingoBusiness #BusinessPodcast #Podcast

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In this episode, Lucas and Luna explore how artificial intelligence is turning your everyday smartwatch into a tool for early skin cancer detection. They dive into a study from the University of California, Irvine, where researchers trained a deep learning model on over 130,000 dermoscopic images to identify melanoma with 95% accuracy — comparable to board-certified dermatologists. The conversation covers how smartwatch cameras and sensors can capture images of moles and lesions, the challenges of lighting and motion artifacts, and why this technology could be a game-changer for catching melanoma early, when survival rates exceed 99%. They also discuss the limitations: false positives, data privacy, and regulatory hurdles. Tune in to understand how this AI-driven approach might soon complement — not replace — your annual skin check.

#SkinCancer #Melanoma #ArtificialIntelligence #DeepLearning #Smartwatch #WearableTech #DigitalHealth #Dermatology #UniversityOfCaliforniaIrvine #HealthcareAI #EarlyDetection #CancerScreening #Business #Technology #HealthTech #FexingoBusiness #BusinessPodcast #NoAds

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Lucas and Luna explore the emerging use of AI and smartwatch data to predict migraine attacks hours before symptoms begin. They examine a 2025 study from the University of Helsinki involving 200 participants who wore smartwatches tracking heart rate, skin temperature, and activity. The AI model predicted migraines with 85% accuracy up to two hours in advance. The hosts discuss the role of autonomic nervous system changes, the limitations of current wearables for pain detection, and whether this could lead to new preventive treatments. They also touch on how the FDA is approaching these algorithms as medical devices. A concrete look at a specific research study and what it means for the 39 million Americans living with migraines.

#MigrainePrediction #AIHealthcare #SmartwatchHealth #WearableTech #DigitalHealth #Neurology #UniversityOfHelsinki #AutonomicNervousSystem #HeartRateVariability #SkinTemperature #PreventiveMedicine #MachineLearning #HealthTech #FDA #PainManagement #Business #FexingoBusiness #BusinessPodcast

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Episode 127 of The Digital Health Podcast dives into the growing role of smartwatches in asthma management. Lucas and Luna explore how wearables like the Apple Watch and Fitbit are using heart rate variability, respiratory rate, and SpO2 sensors to predict asthma attacks hours before symptoms appear. They discuss a 2025 study from Mount Sinai involving 5,000 patients, where an AI model trained on smartwatch data flagged 80% of attacks with a 30-minute warning window. The hosts also examine the limitations of current consumer-grade sensors and the regulatory hurdles for turning these alerts into FDA-cleared clinical tools. Lucas explains the difference between reactive and predictive asthma care, while Luna questions whether false positives could lead to medication overuse. The episode highlights real-world examples from Propeller Health and a pilot program at Boston Children's Hospital, giving listeners a concrete sense of where the technology stands today.

#Smartwatch #Asthma #Wearables #DigitalHealth #HealthTech #AI #MachineLearning #MountSinai #AppleWatch #Fitbit #PropellerHealth #BostonChildrensHospital #HeartRateVariability #SpO2 #RespiratoryRate #FexingoDigitalHealth #BusinessAndTechnology #BusinessPodcast

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