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

Emergency rooms operate in chaos. But what if hospitals could know, minutes in advance, exactly how many ambulances are rolling toward their door — and what condition those patients are in? This episode dives into a new wave of predictive dispatch AI that combines real-time traffic data, weather feeds, historical emergency call patterns, and hospital bed availability to forecast ambulance arrivals...

Lucas and Luna explore how artificial intelligence is enabling early detection of diabetic retinopathy and other eye diseases using just a smartphone camera. They focus on Google's automated retinal screening system deployed in India and Thailand, which has screened over 150,000 patients since 2019. The episode discusses the algorithm's accuracy, the challenge of training on diverse populations, a...

In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being used to triage radiology reports — flagging critical findings like incidental pulmonary nodules before they get buried in a radiologist's queue. They examine a real deployment at a major U.S. hospital system where an AI system reduced time-to-follow-up for suspicious findings from an average of 12 week...

In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how artificial intelligence is transforming hospital discharge planning — a notoriously fragmented process that costs the US healthcare system billions each year. They focus on a specific case: the deployment of an AI platform at a 500-bed academic medical center that cut average discharge time from 4.5 hours to under 90 minu...

In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how artificial intelligence is transforming the notoriously complex and error-prone world of hospital medical coding and billing. They focus on the case of Nuance Communications' DAX Copilot, which uses generative AI to automatically convert clinical conversations into structured billing codes—reducing the average coding time...

Sepsis kills 270,000 Americans annually, often because doctors miss the subtle early signs. In this episode, Lucas and Luna explore how machine learning models are now analyzing vital signs and lab results in real time to flag sepsis hours before traditional screening tools. We look at the specific case of Johns Hopkins' predictive algorithm, which reduced sepsis mortality by 20 percent in pilot s...

Episode 73 of Healthtech Talks with Fexingo dives into how artificial intelligence is revolutionizing the design and execution of clinical trials in hospitals. Lucas and Luna explore how AI is slashing patient recruitment timelines by predicting which patients are most likely to qualify and adhere to trial protocols. They unpack a real-world example: a mid-size hospital in Ohio that used an AI mat...

In this episode of Healthtech Talks, Lucas and Luna explore how AI is revolutionizing the design and manufacturing of custom prosthetics. They dive into a specific case study: a startup called Unlimited Tomorrow, which uses 3D scanning and machine learning to create personalized prosthetic limbs in just hours instead of weeks. Lucas explains how the AI models predict fit and function based on resi...

Episode 71 of Healthtech Talks dives into a surprising frontier of hospital AI: the patient meal tray. Lucas and Luna explore how Massachusetts General Hospital is using machine learning to predict what each patient will actually want to eat, based on their medical profile, dietary restrictions, and previous choices. The system, developed with dietitians and data scientists, has reduced food waste...

In this episode of Healthtech Talks with Fexingo, Lucas and Luna dive into how AI-powered ambient scribes are transforming telehealth visits. They unpack the story of DeepScribe, a startup whose AI listens to doctor-patient conversations and auto-generates clinical notes in real time. Lucas explains how the technology reduces physician burnout by cutting documentation time from two hours per day t...

In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is transforming pain management in hospitals. They dive into a specific case: the AI-driven system developed by Stanford Medicine, which uses patient data to predict opioid needs and personalize treatment plans. The hosts discuss how this system analyzes factors like genetics, vital signs, and patient history t...

Episode 68 of Healthtech Talks digs into how artificial intelligence is tailoring physical therapy regimens for individual patients in real time. Lucas and Luna walk through a specific case: a joint replacement patient whose recovery plan was dynamically adjusted by an AI system tracking range-of-motion data from a wearable sensor. They discuss how the system, built by a startup called Rehabotics,...

Lucas and Luna explore how ambient voice AI is transforming the clinical note-taking process in real time. They examine Nuance's DAX Copilot, which uses GPT-4 to generate structured medical notes from natural conversation between doctors and patients. With over 500,000 clinicians using the tool in 2026, the hosts discuss the 70% reduction in documentation time reported by early adopters, the accur...

In this episode of Healthtech Talks, Lucas and Luna explore how hospitals are using AI to predict patient deterioration hours before a code blue event. They focus on a real-world deployment at a 500-bed academic medical center where a machine learning model analyzes vital signs, lab results, and nursing notes in real time to generate an early warning score. Lucas breaks down how the system works,...

Hospitals across the U.S. are facing a severe nursing shortage, with turnover rates exceeding 20% annually. This episode explores how health systems like Houston Methodist and Mercy are piloting AI-powered virtual nursing programs that allow RNs to monitor multiple patients via video and AI-driven analytics. Lucas and Luna break down how these systems work—using ambient listening, predictive alert...

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 mil...

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 w...

Episode 62 of Healthtech Talks with Fexingo. Lucas and Luna dive into the quiet revolution happening in hospital pharmacies: autonomous robotic dispensing systems. They focus on the case of UC San Diego Health, which installed a fleet of pill-picking robots from Omnicell in early 2025. By June 2026, the system handles 85% of oral medications, slashing pharmacy wait times from 45 minutes to under 1...

Episode 61 of Healthtech Talks dives into the controversy around AI chatbots for mental health. Lucas and Luna examine the case of a popular chatbot from 2024 that was sued after a teenage user reported self-harm advice. They discuss the regulatory gap — the FDA has cleared dozens of digital mental health tools, but none for autonomous therapy. Luna brings data from a 2025 JAMA study showing that...

Episode 60 of Healthtech Talks with Fexingo dives into the emerging world of real-time health insurance personalisation. Lucas and Luna explore how companies like Oscar Health and Clover Health are using AI to adjust premiums, recommend treatments, and intervene before claims happen—based on live wearable data and medical history. They break down the specific case of Clover Health's 'Clover Assist...

In this episode, Lucas and Luna explore how artificial intelligence is transforming oncology by creating personalized cancer treatment plans tailored to each patient's genetic profile and real-time health data. They dive into a specific case: how Memorial Sloan Kettering Cancer Center is using an AI platform called OncoHealth to analyze tumor genetics, treatment history, and biomarker changes to r...

Lucas and Luna explore how hospitals are using AI to predict clinician burnout by analyzing patterns in electronic health record logins, shift schedules, and patient outcomes. They focus on a pilot program at Stanford Medicine that uses machine learning to flag elevated burnout risk weeks in advance, and discuss the ethical implications of monitoring staff with AI. The episode covers the specific...

Episode 57 of Healthtech Talks dives into the intersection of AI and hospital supply chain management—a $200 billion headache for U.S. hospitals where stockouts and expired inventory cost billions annually. Lucas and Luna examine how a mid-sized health system in Ohio deployed AI to predict demand for surgical gloves, catheters, and medications, cutting expired inventory write-offs by 30 percent an...

In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how artificial intelligence is turning smartphone cameras into dermatology screening tools. They examine a landmark study from the Stanford AI Lab published in Nature Medicine, which showed that a deep learning model trained on 130,000 clinical images matched the diagnostic accuracy of board-certified dermatologists in identi...

In this episode of Healthtech Talks, Lucas and Luna dive into how artificial intelligence is transforming hospital discharge planning — moving from a one-size-fits-all checklist to personalized, risk-stratified discharge plans that reduce readmissions and improve patient outcomes. They examine a real-world deployment at a large academic medical center where an AI model analyzes over 200 variables...