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

Episode 29 of Healthtech Talks explores how artificial intelligence is analyzing data from consumer wearables like the Apple Watch to detect atrial fibrillation and other heart conditions before symptoms appear. Lucas and Luna discuss a landmark study from the Stanford Digital Health Lab showing that AI models trained on photoplethysmography data can identify irregular heart rhythms with 98 percen...

In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being used to personalize cancer treatment. They focus on a specific case: Memorial Sloan Kettering Cancer Center's use of an AI system called Watson for Genomics to analyze tumor DNA and recommend targeted therapies. The hosts discuss how the system works, the real-world impact on patient outcomes, and the...

Medication errors harm over 1.5 million patients in the US each year. In this episode, Lucas and Luna explore how artificial intelligence is being deployed in hospital pharmacies to catch dangerous drug interactions, dosage mistakes, and allergy conflicts before they reach the patient. They focus on a specific case: the implementation of AI-driven clinical decision support at the University of Cal...

Episode 26 of Healthtech Talks with Fexingo explores how artificial intelligence is transforming medical coding — the process of translating patient encounters into standardized billing codes. Lucas and Luna break down why this once-obscure back-office task is suddenly attracting venture capital and causing controversy among coders. They explore a specific case: a mid-sized hospital system that us...

Hospitals spend over $40 billion annually fighting healthcare-associated infections (HAIs). In this episode, Lucas and Luna examine how AI-powered infection surveillance systems are catching outbreaks hours or days before traditional methods. They walk through a real case at a 500-bed hospital in Pennsylvania where a machine learning model predicted a C. diff cluster 48 hours before any patient sh...

Episode 24 of Healthtech Talks explores how hospitals are using predictive AI to tackle the costly problem of missed appointments. Lucas and Luna break down the data behind no-show rates — which can hit 30 percent in some clinics — and how machine learning models analyze patient history, weather, and even commute distance to identify high-risk no-shows before they happen. They discuss real-world r...

Episode 23 of Healthtech Talks with Fexingo dives into the hidden inefficiencies of hospital operating rooms, where underutilized OR time costs the U.S. healthcare system an estimated $25 billion annually. Lucas and Luna explore how AI-powered scheduling platforms—like those from LeanTaaS and Qventus—are using machine learning to predict surgical durations, reduce room turnover times, and boost OR...

Discharge planning is one of the most chaotic processes in hospitals — delays cost billions and hurt patient outcomes. In this episode, Lucas and Luna explore how a handful of health systems are deploying AI to predict discharge dates, coordinate care teams, and reduce readmissions. They focus on the experience at Boston Medical Center, which piloted an AI model that cut average discharge time by...

Every year, sepsis kills roughly 270,000 people in the US alone — often because doctors catch it too late. But a new wave of AI-driven early warning systems is changing that. In this episode, Lucas and Luna look at how hospitals like UC San Diego Health are using machine learning models trained on vital signs, lab results, and nursing notes to flag sepsis up to 12 hours earlier than traditional sc...

Lucas and Luna explore how FDA-cleared wearable sleep trackers are moving beyond consumer wellness into clinical insomnia treatment. They examine a 2025 study from the University of Michigan showing that patients using a wearable-guided cognitive behavioral therapy program achieved a 47 percent reduction in insomnia severity scores compared to 22 percent with standard care. The episode covers how...

Episode 19 of Healthtech Talks explores how ambient voice AI is transforming clinical documentation. Lucas and Luna break down how Nuance's DAX Copilot and similar tools listen to patient-doctor conversations and auto-generate structured notes, cutting physician documentation time by over 50 percent. They discuss the technology's accuracy in medical terminology, integration with Epic EHR, and the...

Prior authorization—the insurance approval process that often delays patient care—has become a multi-billion-dollar administrative burden. In this episode, Lucas and Luna explore how artificial intelligence is being deployed to automate prior authorization in real time, reducing wait times from weeks to minutes. They examine the case of Cedar Gate Technologies, which uses machine learning to predi...

Episode 17 of Healthtech Talks explores pharmacogenomics — the practice of using a patient's genetic profile to guide drug prescriptions. Lucas and Luna discuss how the University of Florida's MyGHP program has genotyped over 10,000 patients, reducing adverse drug reactions by 23% and cutting hospital readmissions related to medication errors. They unpack how major health systems like Geisinger an...

Hospitals run on a chaotic game of musical beds every flu season and surgery block. This episode looks at how one health system used a machine learning model trained on years of admission, discharge, and transfer data to predict bed shortages 48 hours in advance with 92 percent accuracy. Lucas and Luna walk through the real-world numbers: how the model cut emergency department boarding times by 4....

Doctors spend up to two hours on electronic health records for every hour of patient care. Ambient AI scribes—software that listens to the clinical conversation and automatically generates structured notes—are now deployed at major health systems like Kaiser Permanente and Intermountain Health. Lucas and Luna walk through the technology: how it handles specialized jargon, why it cuts burnout, and...

Lucas and Luna examine the quiet revolution in hypertension management: the shift from in-office blood pressure checks to continuous remote monitoring. They drill into the specific case of a large primary care network in the Midwest that rolled out Bluetooth-enabled cuffs to 12,000 patients starting in early 2025. The numbers: average systolic BP dropped by 9 points in six months, and the network'...

When you switch doctors or get a second opinion, your medical records often don't follow you — or they arrive as a 300-page PDF you have to re-enter manually. This episode of Healthtech Talks with Fexingo drills into the frustrating, expensive, and sometimes dangerous problem of health data interoperability. Lucas and Luna unpack why the US healthcare system still runs on fax machines in 2024, how...

Hospitals waste an estimated $15 billion annually on expired or mismanaged medical supplies. In this episode, Lucas and Luna examine how AI-driven supply chain platforms are solving that problem. They walk through the case of Palomar Health in California, which partnered with a startup called LogiCare to deploy a predictive inventory system. The result: a 26 percent reduction in supply costs and a...

Episode 11 of Healthtech Talks with Fexingo dives into the quiet automation revolution happening behind the pharmacy counter. Lucas and Luna explore how pharmacy robotics—from McKesson's centralized pill-packing systems to nimble pharmacy-dispensing kiosks from companies like MedAvail—are transforming the prescription-filling process. They discuss how the pandemic labor crunch accelerated adoption...

Episode 10 of Healthtech Talks unpacks the hidden machinery behind automated claims denials in U.S. health insurance. Lucas and Luna examine the case of a major insurer whose algorithmic system rejected 30 percent of emergency room claims between 2020 and 2025, leading to a class action lawsuit and new state-level transparency rules. They walk through how the algorithm works, the false-positive ra...

In this episode of Healthtech Talks, Lucas and Luna explore the emerging world of digital therapeutics — software-based treatments that are now winning FDA approval for conditions like chronic insomnia, ADHD, and substance use disorder. They focus on one standout case: Pear Therapeutics' reSET-O, the first prescription digital therapeutic for opioid use disorder, and discuss how the FDA evaluates...

Episode 8 of Healthtech Talks digs into the real-world impact of remote patient monitoring (RPM). Lucas and Luna examine a landmark study from the Journal of the American Medical Association showing that RPM programs reduced 30-day hospital readmissions by 38 percent among heart failure patients. They explore the specific technology stack — Bluetooth-enabled scales and blood pressure cuffs paired...

Lucas and Luna explore how digital twin technology is transforming clinical trials, saving time and money while improving patient outcomes. They break down how companies like Unlearn.ai and Siemens Healthineers use AI-powered synthetic control arms to replace placebo groups, reducing trial sizes by up to 40%. The hosts discuss a 2025 study showing that a digital-twin-informed trial for a diabetes...

Episode 6 of Healthtech Talks with Fexingo: Lucas and Luna dive into the rise of AI-powered mental health chatbots, focusing on a specific case study: Woebot Health. They explore how these conversational agents handle high-volume cognitive behavioral therapy (CBT) exercises, reducing the burden on human therapists. Lucas cites a 2025 JAMA study showing that patients using Woebot for 8 weeks saw a...

When COVID-19 lockdowns hit, rural hospitals faced an impossible choice: shut down or find a way to treat patients remotely. This episode digs into the story of a 25-bed critical access hospital in central Kansas that adopted telemedicine in 2020 and not only survived but expanded services. We walk through the specific technology stack they used, the regulatory waivers that made it possible, and t...