HealthTech Remedy

HealthTech Remedy

Join three physician leaders exploring health technology innovation. We tell the stories of pioneering companies and interview industry leaders, covering critical areas transforming healthcare. Get doctor and patient perspectives on topics like prior authorization, price transparency, AI in medicine, digital health, cancer care, and more. Explore the challenges and successes at the intersection of medicine and technology.

  1. Aug 4

    From Palm Pilot to AI Assist: Inside the Reinvention of epocrates with president David Minkin

    epocrates president David Minkin on turning 25 years of clinician trust into an AI-powered clinical intelligence platform without disrupting the workflow. Episode Resources: Overview of epocrates AI Assist and Clinical Decision SupportOfficial epocrates Product Page and athenahealth IntegrationAnalysis of epocrates’ Role in Reducing Clinician Cognitive LoadVideo Discussion on Ethical Guardrails for AI at the Point of CareFor a generation of physicians, epocrates was the first medical app they ever downloaded. It lived on Palm Pilots before smartphones existed, replaced the dog-eared Physician's Desk Reference, and became the reflexive check for a dose or an interaction between patients. Twenty-five years and a million daily users later, it is still there. In this episode, Trevor Royce and Tim Showalter dig into what happens when one of the most deeply embedded tools in medicine decides it wants to be something bigger than a lookup app. They are joined by David Minkin, president and general manager of epocrates, who came to the role from digital media rather than clinical practice. Minkin describes the work as a reinvention problem rather than a repair job, and he is blunt about the constraint that shapes every decision: trust is not an aspiration, it is a hard limit. That principle explains why AI Assist carries no sponsor influence, why the product refuses to diagnose or prescribe, and why 75 clinicians in an alpha lab generated more than 5,000 pieces of feedback before the feature went wide. The conversation covers the shift from information to intelligence, why pull-based engagement beats another alert firing in a busy clinic, and the metrics Minkin actually watches, including how many seconds it takes a clinician to get an answer. Trevor and Tim also unpack the strategic picture around the company, from the athenahealth acquisition and where a reference tool sits next to an EHR, to what a 25-year curated content library is worth in a market full of AI-first entrants scraping the open web. Minkin closes with pointed advice for health tech founders, arguing that the real opportunity is not autonomous diagnosis but the far less glamorous work of cutting cognitive load for clinicians who are already exhausted from chasing down information that should be instant.

  2. Jul 29

    17 Years Behind: Dr. Ido Zamberg on why hospitals can't get their own best practices to the bedside

    Hospitals can't reliably get their own protocols to the bedside. Dr. Ido Zamberg of C8 Health on the 17-year evidence gap and fixing clinical knowledge chaos. Episode Resources: Official Website for C8 HealthEvery clinician knows the feeling: you need a protocol, and you have no idea where it lives. Maybe it's a PDF on a shared drive. Maybe it's an intranet page nobody's updated since 2019. Maybe it's a printout taped to a bulletin board with a phone number for a coordinator who left last year. Medicine is the most knowledge-intensive profession there is, and yet hospitals — good at care delivery, billing, regulatory compliance, and training residents — are not built to be knowledge organizations. The EMR doesn't solve it either. It's excellent at patient-level data and transactions, and largely silent on institutional know-how. This week, we dig into C8 Health, an AI-powered best practices implementation platform tackling exactly that gap, and talk with co-founder and Chief Medical Officer Dr. Ido Zamberg. Zamberg's path is unusual: a senior developer at HP, Mercury Interactive, and Autodesk — where his specialty was optimizing access to information across large enterprises — who became an anesthesiologist and medical educator. He traces the idea back to a specific moment on geriatric rounds, watching colleagues each build their own ad hoc checklists for the same admission, all slightly differently, all because the hospital's actual protocols were impossible to find. The tool he built for his own department spread across five hospitals. The conversation gets into where generative AI genuinely fits here — a retrieval-grounded assistant answering from vetted institutional content, with citations down to the paragraph, rather than a general-purpose chatbot improvising clinical advice. Zamberg also makes a pointed argument about quality improvement: that hospitals spend heavily on extracting quality data, then lock it in dashboards that individual providers never see, and pair it with one-time interventions that decay almost immediately. With new evidence taking an average of 17 years to reach practice, ERAS compliance hovering near 50% nationally, and more than 70% of quality interventions failing to sustain, the case that this is fundamentally a distribution problem is a hard one to argue with.

  3. Jun 16

    Healthspan Is a Savings Account: Inside Cenegenics, the OG of Longevity Medicine

    Discover the future of longevity medicine with Cenegenics. Learn how advanced diagnostics, hormone optimization, and coaching can maximize your healthspan. Episode Resources: CenegenicsJAMA Study on VO2 Max and Long-Term SurvivalMedicine 3.0 and Healthspan Optimization by Peter AttiaUnderstanding Lp(a) and Advanced Cardiovascular Risk MarkersMedicare Guidelines for Preventive and Wellness ServicesLong before the current wave of biohacking and longevity startups, Cenegenics was quietly pioneering the performance health movement. In this episode of HealthTech Remedy, we sit down with Rudy Inaba, VP of Performance Health at Cenegenics, to unpack the science of health optimization and proactive aging. You’ll learn how to transition from reactive, episodic care to a proactive medical framework that maximizes physical, cognitive, and metabolic healthspan.  We explore how Cenegenics uses a concierge medicine model to deliver high-touch, longitudinal care driven by comprehensive biomarker tracking, epigenetics, and advanced diagnostics. Rudy breaks down the nuance of modern hormone optimization, detailing why managing cortisol and lifestyle habits is often more critical than jumping straight to testosterone therapy. He also shares why improving your VO2 max is the ultimate biological retirement plan and how continuous behavioral coaching bridges the gap between complex data and actual health outcomes. Discover which specific metrics are essential for measuring the epigenetic "software" running on your genetic "hardware" so you can start building a more resilient body today. If you are ready to start treating your healthspan as your most valuable asset, hit subscribe to HealthTech Remedy and leave us a review!

  4. Jun 2

    Good Bets: How Vibe Bio's AI Decides Which Drugs Deserve Funding

    CEO Alok Tayi shares how Vibe Bio uses AI in drug development to automate due diligence, solve the biotech funding cliff, and accelerate rare disease cures. Episode Resources: Official Website for Vibe BioNature Article on the "Valley of Death" in Drug Development"Chasing My Cure" by David FajgenbaumWhile most AI biotech startups focus on discovering new molecules, the industry's real bottleneck is deciding which existing therapies actually secure the capital to reach patients. In this episode of HealthTech Remedy, we sit down with Dr. Alok Tayi, founder and CEO of Vibe Bio, to explore how artificial intelligence is completely transforming the multi-billion-dollar pharmaceutical due diligence process. Tune in to discover how data-driven investing is rescuing promising treatments from the "funding cliff" and rewriting the economics of drug development.  Driven by a personal mission after his daughter’s rare disease diagnosis, Dr. Tayi explains how traditional biopharma funding models systematically overlook high-need communities in favor of massive, crowded markets. We unpack how Vibe Bio’s proprietary AI platform, VibeOne, processes preclinical data and trial designs to automate deep due diligence, stripping away human bias while aiming to double clinical success rates from 10% to 20%. The conversation also tackles the evolving landscape of tech bio, the delicate balance between machine computation and human strategic judgment, and why geopolitical competition is forcing a much-needed evolution in regulatory agility. Will AI finally democratize biotech funding, or is the most critical element of drug development still fundamentally human? If you want to stay ahead of the curve on the latest innovations shaping the future of care, make sure to subscribe and leave a review for Health Tech Remedy!

  5. May 26

    Twin Health's Digital Twin: Reversing Metabolic Disease with Dr. Lisa Shah

    Can AI reverse metabolic disease? Discover how Twin Health uses digital twins to safely reduce GLP-1 reliance and personalize care in this podcast episode. Episode Resources: Twin HealthNEJM Catalyst Study on AI-Enabled Diabetes RemissionGenome Medicine Article on Digital Twins in Personalized MedicineADA Consensus Report on Defining Type 2 Diabetes RemissionJAMA Study on Weight Regain After GLP-1 DiscontinuationCleveland Clinic Newsroom Summary of Twin Health ResearchWhat if you could predict exactly how your body would react to a specific meal before taking a single bite? In this episode of HealthTech Remedy, we sit down with Dr. Lisa Shah to explore how Twin Health is using digital twin technology to actually reverse - rather than just manage - chronic metabolic diseases. Tune in to discover how continuous data monitoring and predictive AI are moving healthcare beyond generic lifestyle advice to highly personalized, precision medicine. The conversation dives deep into the bold thesis that conditions like type 2 diabetes, obesity, and fatty liver disease are all downstream manifestations of a single, reversible metabolic dysfunction. Dr. Shah shares striking results from a recent randomized control trial, revealing how mapping an individual's unique metabolism can lead to a 71% diabetes reversal rate while dramatically reducing medication reliance. We also debate the practical challenges of continuous monitoring and unpack a timely framework for using digital platforms as a sustainable "off-ramp" for patients transitioning away from GLP-1 medications without rebound weight gain. Why might an AI coach actually be more effective (and less judgmental) than a human doctor when it comes to daily behavioral changes?  If you’re enjoying these deep dives into the future of care delivery, be sure to subscribe to HealthTech Remedy and leave a five-star review!

  6. May 12

    The AI Fixing a $400B Healthcare Nightmare ft. Seth Cohen (President @ Cedar)

    Discover how Cedar uses AI to fix broken healthcare billing, automate revenue cycle management, and improve the patient financial experience. Episode Resources: CedarKFF Medicaid Enrollment and Unwinding TrackerKora AI Agentic Voice Assistant for Patient BillingKFF 2024 Employer Health Benefits SurveyAnalysis of the "One Big Beautiful Bill Act" and Medicaid ImpactsNational Cancer Institute Resource on Financial ToxicityAre we truly healing patients if we fix their health but ruin their credit? In this episode of HealthTech Remedy, we sit down with Seth Cohen, President of Cedar, to tackle the most universally dreaded part of the healthcare journey: the medical bill. You’ll discover how shifting revenue cycle management to prioritize the patient financial experience can alleviate financial toxicity while simultaneously boosting a health system's bottom line.  As millions of Americans face the Medicaid coverage cliff and the continuous rise of high-deductible health plans, the out-of-pocket burden on patients has never been heavier. Seth breaks down how Cedar uses agentic AI to disrupt traditional billing, transforming static, confusing statements into personalized financial navigation. By leveraging large language models and virtual agents, the platform proactively connects patients with hidden resources like dormant HSAs and pharmacy co-pay assistance before a bill even drops. Tune in to find out how this targeted technology is preventing catastrophic medical debt, including a powerful patient story that proves exactly why this empathetic framework changes lives.  If you want to stay ahead of the curve in health technology and reimbursement innovation, be sure to subscribe to HealthTech Remedy and leave us a review!

  7. Apr 21

    Can AI Stop Hospitals From Losing Millions? (ft. Benjamin Beadle-Ryby, co-founder of AKASA)

    Hospitals lose millions to medical billing errors. Discover how AKASA uses AI in revenue cycle management to cut claim denials and capture lost revenue. Episode Resources: Against the Rules Podcast - Six Levels DownAKASA Official Resource LibraryCMS Guide to MS-DRG Classifications and LogicWith hospital operating margins often sitting in the single digits, the complex maze of medical billing is silently costing health systems millions in uncollected revenue. In this episode of HealthTech Remedy, we sit down with Benjamin Beadle-Ryby, co-founder of AKASA, to explore how generative AI is fundamentally transforming revenue cycle management (RCM). You will discover how shifting from manual coding to an autonomous revenue cycle can drastically reduce claim denials, uncover missed charges, and ultimately protect a hospital's financial mission.  The conversation unpacks the structural complexity of hospital reimbursement, where a single inpatient encounter can generate 50,000 words of documentation that human coders must manually distill into precise ICD-10 and DRG codes. Benjamin shares the framework behind AKASA’s custom large language models, revealing how fine-tuning healthcare AI on a health system's specific historical data can seamlessly surface missed quality indicators in up to 10% of claims. We also debate the delicate balance of AI automation and human oversight, questioning what happens to the highly specialized knowledge of medical billers as these tools evolve. You’ll have to listen to find out why traditional rules-based systems are failing and exactly how generative AI could drive the cost to collect below one percent by 2030.  If you enjoyed this deep dive into the intersection of health tech and healthcare finance, please subscribe and leave a review for HealthTech Remedy.

4.6
out of 5
10 Ratings

About

Join three physician leaders exploring health technology innovation. We tell the stories of pioneering companies and interview industry leaders, covering critical areas transforming healthcare. Get doctor and patient perspectives on topics like prior authorization, price transparency, AI in medicine, digital health, cancer care, and more. Explore the challenges and successes at the intersection of medicine and technology.