The IDAAHub Podcast: AI Healthcare & Finance

IDAA Hub
  • 0.0 (0)
  • Technology

Join IDAAHub as we explore the cutting edge of AI adoption & innovation in healthcare. Each week, we bring you conversations with innovators, founders, and industry leaders who are transforming these critical sectors with artificial intelligence. From startup success stories to enterprise implementation strategies, we decode the complexities of startup growth and showcase products making real-world impact. Whether you're a healthcare executive, or AI enthusiast, discover actionable insights on building, scaling, and deploying AI solutions that matter. Hosted by Deepti Deepak this is your gateway to the future of intelligent healthcare

  1. 2d ago

    Predictive, Generative, Now Corrective: Inside Refining Intelligence | Dr. Lief Olson

    Machine learning predicts. Large language models generate. But what is designed to correct? In Part 2 of our conversation, Dr. Lief Olson explains Refining Intelligence (RI), the technology he has spent years developing as research. He describes AI in three categories: machine learning is predictive, large language models are generative, and RI is designed to be corrective. In his view, design matters. Neither predictive nor generative models were built to correct themselves, and that’s the gap RI aims to fill. Dr. Olson walks through today’s AI stack and explains why existing guardrails, filters, retrieval (RAG) systems, and monitoring dashboards can block or flag a bad output, but can’t reliably tell whether an answer is correct in context or fix it without starting over. As he puts it, an answer can be factual, match policy, and use the right industry language, and still be wrong. He describes RI as a refinement layer that sits downstream of an AI system and works alongside existing tools rather than replacing them. A key feature is Refining Intelligence Data (RID): real-time reports on each correction, explaining what was wrong, how it was fixed, and why. In this episode, we cover: What Refining Intelligence is, explained in plain language Predictive, generative, and corrective: three categories of intelligence Why “design matters” when it comes to how AI behaves The AI stack: core models, infrastructure, data, and the governance layer What guardrails, filters, RAG, and monitoring dashboards can and can’t do The difference between a factual answer and a correct one Why AI errors matter even more when AI controls robots, aircraft, or assembly lines Silent errors, model drift, and errors passed between AI agents Why RI is designed as an add-on, not a replacement Refining Intelligence Data (RID): real-time reports on every correction How RI could shorten AI review, deployment, and audit cycles Missed Part 1? Watch “Physician Builders vs. Health Tech Builders: What Tech Builders Miss.” Coming up in Part 3: training AI to recognize medical harm, and the future of trustworthy AI. 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com #IDAAHubPodcast #AIinHealthcare #ResponsibleAI #AIGovernance #RefiningIntelligence #AISafety

    Predictive, Generative, Now Corrective: Inside Refining Intelligence | Dr. Lief Olson

  2. 4d ago

    From Brewery Owner to Physician to AI Builder: What Health Tech Misses | Dr. Lief Olson

    Construction and manufacturing. A brewery. Medical school in his 30s. And now, building AI. In Part 1 of this three-part conversation, Dr. Lief Olson joins the IDAAHub Podcast. He is a general medicine physician, the founder of Arbimus, the architect of Refining Intelligence, and a doctor serving underserved communities in North Carolina’s Piedmont Triad. Few people have seen healthcare from as many angles. He trained in Grenada, completed his clinical rotations in London during COVID, trained repeatedly at a private hospital in Kerala, India, and now practices in North Carolina while teaching himself AI. Dr. Olson explains that physicians and technology builders share a scientist’s mindset but work with different “harnesses,” and that tension appears when tools are mandated from the top down without real benefit to workflows or patients. He shares the bedside skills he saw in Kerala and why he tells himself to “stop looking at labs, stop looking at images, and put your hands on your patient.” Drawing on his manufacturing background, he also questions a common assumption: if AI makes doctors faster, should that simply mean more patients per day? In his view, loading more onto any system adds more points of failure, and healthcare is “not like tweaking a factory line.” In this episode, we cover: Dr. Olson’s non-traditional path from construction and brewing to medicine and AITraining at St. George’s University and completing rotations in London during COVIDComparing the UK and US healthcare systemsHow the physician mindset and the technology builder’s mindset overlap, and where they clashWhy technology forced on clinicians from the top down can cost more time than it savesWhy health tech companies need clinicians involved from the start to find product-market fitWhat builders miss about bedside medicine: lessons from physicians in Kerala, IndiaThe documentary Making Rounds and why touching the patient still mattersPaper records vs. bulky EHRs: is more technology always better?“You have AI now, so see 24 patients instead of 18.” Does that improve outcomes?A systems engineering view: why more load creates more failure points Coming up in Part 2: what Refining Intelligence is, and why AI needs a correction layer. 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com #IDAAHubPodcast #AIinHealthcare #HealthTech #PhysicianInnovators #DigitalHealth #ClinicalWorkflow

    From Brewery Owner to Physician to AI Builder: What Health Tech Misses | Dr. Lief Olson

  3. Oct 20

    AI Can’t Hear Your Stethoscope: Why Clinical Judgment Still Saves Lives | Dr. Sal D’Allura

    AI can review research across many journals in seconds. But it can’t hear decreased breath sounds, notice that a patient can’t sit still, or sense that something is wrong when the vital signs look normal. In Part 2 of our conversation, Dr. Sal D’Allura, a supervising physician at Atrium Health Wake Forest Baptist with 36 years of clinical experience, moves from the classroom to the clinic. He shares the story of a young woman who came into urgent care late at night, sure she had pulled a muscle. Something about her presentation didn’t feel right. He sent her to the emergency room, where she was diagnosed with a large pulmonary embolism, and that decision saved her life. Dr. Sal explains why AI thinks in black and white while medicine lives in the gray, why AI-generated notes should never be “signed but not read,” and why the medical decision-making section must reflect what the clinician was actually thinking. He also shares where AI truly helps: saving time on documentation, summarizing research, supporting billing and administration, and giving clinicians face-to-face time with patients through ambient AI scribes. “The internet is black and white. Medicine is gray. That’s why it’s called an art.” In this episode, we cover: Why AI thinks in black and white, while medicine lives in the grayEthics and end-of-life decisions AI can’t makeA day as a supervising physician for PAs and NPsHow he coaches clinicians on when a patient truly needs the ERMorbidity and mortality reviews then, and the lack of AI oversight nowWhy the medical decision-making section must reflect what the clinician was thinkingThe danger of AI notes that are “signed but not read”The pulmonary embolism case that clinical instinct caughtWhere AI helps: documentation, research, billing, and administrationAmbient AI scribes and the return of face-to-face careWhy he left private practice, and why “bigger is better” in today’s healthcare businessAI anatomy and virtual dissection vs. the real operating roomShould AI use in training be restricted by experience level?His final advice: treat AI as a resource, not a source Missed Part 1? Watch “AI in the Right Hands: Why Doctors Must Learn Medicine Before Using AI.” 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com

    AI Can’t Hear Your Stethoscope: Why Clinical Judgment Still Saves Lives | Dr. Sal D’Allura

  4. Oct 14

    AI in the Right Hands: Why Doctors Must Learn Medicine Before Using AI | Dr. Sal D’Allura

    AI can give a medical student the answer in seconds. But can it make them a good clinician? In Part 1 of this two-part conversation, Dr. Sal D’Allura joins the IDAAHub Podcast. He is a supervising physician at Atrium Health Wake Forest Baptist, board certified in family and osteopathic medicine, a medical educator, and a former residency director. He trained in the late 1980s, when there was no internet and you had to know the answer on rounds or know which textbook to find it in. Today, he watches students reach for Google and AI before they even try to answer. His concern is simple: you don’t know what you don’t know. If you never learned the medicine, you can’t ask AI the right question, and you can’t tell when its answer is wrong. He believes that clinical gestalt, the sixth sense that tells you a patient is sick even when they say they’re fine, only comes from years of learning and seeing patients. “You need to become the genius, and then use AI to supplement, not the other way around.” In this episode, we cover: Dr. Sal’s journey from family medicine and urgent care to supervising PAs and NPsHow medical training has changed from textbooks and libraries to Google and AIWhy AI only works if you know what to askThe “index in the back of the book” analogy for using AI wellClinical gestalt: the sixth sense AI can’t teachWhy passing the test isn’t the real test; the patient in the exam room isWhy setting AI guardrails has to start with the individual clinicianNecrotizing fasciitis, appendicitis, and diagnoses that take clinical suspicionWhy speed in emergency medicine leaves no room to “ask the computer”Should medical schools ban ChatGPT? Dr. Sal’s viewWhy he still tells students to pick up Harrison’s and read the bookWhen to use AI: as a supplement, not the source Don’t miss Part 2, where Dr. Sal discusses AI ethics, AI scribes, and the patient whose life is saved when AI would have missed it. 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com #IDAAHubPodcast #AIinHealthcare #MedicalEducation #ClinicalReasoning #FutureOfMedicine

    AI in the Right Hands: Why Doctors Must Learn Medicine Before Using AI | Dr. Sal D’Allura

  5. Oct 1

    Is Chemo the Bloodletting of Our Time? Dr Zollinger's AI Vision & the Frontier Bigger Than Mars

    What frontier could be bigger than Mars? According to Dr. Rick Zollinger, it's the human body. We still can't cure a stroke, repair a broken spine, or stop Alzheimer's. In Part 2 of our conversation, Dr. Zollinger, a cardiothoracic surgeon, wound care pioneer, author, and physician coach, shares his vision for how AI could speed up our understanding of the body's complexity and bring cures that once seemed decades away. He predicts that 50 years from now, we may look back on chemotherapy the way we now look at bloodletting: as the best we had before AI, immunology, and gene therapy changed everything. He explains why the 20th century belonged to surgeons and the 21st may belong to immunologists. He also points out that AI can now review the world's medical literature in an afternoon, work that once took months, and he believes neurological diseases like Alzheimer's, Parkinson's, and multiple sclerosis could see major breakthroughs within the next decade. He also argues that the greatest challenge ahead will be ethics, not technology, and that medicine can never lose the human touch. In this episode, we cover: Why the human body, not Mars, is the real great frontierHow AI could speed up research, drug discovery, and cures for complex diseasesWhy chemotherapy may one day look like bloodlettingThe shift from treating the results of disease to preventing and curing itNutrition, GLP-1 drugs, and prevention as the future of healthcareBioethics: do we really want to live to 130?The "doorknob doctor" and why two minutes at the bedside beats ten at the doorHis books Messages From the Heart and Flight of a SurgeonCoaching young physicians through burnoutHow medical education is changingWhat he wishes he'd known at the start of his career, and a Ted Lasso lesson: look through the windshield, not the rear-view mirrorMissed Part 1? Watch "When Hospitals Became Car Dealerships: Dr. Rick Zollinger on How Medicine Changed." 📧 Connect with IDAAHub  Follow us on:  LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host  Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com #IDAAHubPodcast #AIinHealthcare #FutureOfMedicine #Bioethics #Neuroscience #HealthcareInnovation #PhysicianCoaching

    Is Chemo the Bloodletting of Our Time? Dr Zollinger's AI Vision & the Frontier Bigger Than Mars

  6. Sep 29

    When Hospitals Became Car Dealerships: Dr. Rick Zollinger on How Medicine Changed

    What happens when medicine stops being a calling and starts running like a business? In Part 1 of this two-part conversation, Dr. Rick Zollinger, a cardiothoracic surgeon with three decades of experience, looks back on how medicine changed when physicians became employees and hospitals became mega-operations. Rick grew up in a family of surgeons and trained at Ohio State and the Ochsner Clinic. He built a cardiac surgery practice in Charlotte before burnout pushed him out of the OR in 2005. A hospital administrator then offered him a new challenge: build a wound care and hyperbaric medicine center from scratch. That second career brought medicine back to life for him and taught him one of his most important lessons as a physician. In this episode, we cover: Growing up in a family of surgeons and the path from UNC golf to cardiothoracic surgeryWhat medicine was like before corporate healthcare took over, and what changed in the late '90s and 2000sWhy Rick would choose academic medicine if he started over todayWhy nurses are the real linchpin of medicineThe hidden scale of chronic wounds, diabetes, and limb loss in the U.S.Building a wound care and hyperbaric program from the ground up at 56The "aha moment" that taught him to meet patients in the middleWhy every physician should consider a sabbaticalMedical billing as a "shell game" and the push for price transparencyA brief (and final) Hollywood detour as a film producerHow COVID, AI, and wearables are compressing clinical trials from decades to monthsDon't miss Part 2, where Dr. Zollinger shares his vision for AI, empathy, and the future of medicine. 📧 Connect with IDAAHub  Follow us on:  LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host  Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com

    When Hospitals Became Car Dealerships: Dr. Rick Zollinger on How Medicine Changed

  7. Sep 22

    First, Do No Harm: How Hippocratic AI Built a $3.5B Company by Saying No

    In this episode of the IDAAHub Podcast on Startup & Innovation series, we break down how Hippocratic AI became one of the most-watched names in healthcare AI by doing something counterintuitive: deciding what its AI would refuse to do. No diagnosing. No prescribing. Just safe, patient-facing, non-diagnostic care built on a single principle — first, do no harm. We cover: The founder story: a serial entrepreneur with 25 years at the intersection of AI and healthcareThe growth: a $50M pre-product seed round to a $3.5B valuation in about two and a half years, and 115M+ patient interactions with no reported safety issuesWhat fresh 2026 patient-trust data now confirms about the bet they made two years early3 transferable lessons: constraints as a moat, building with your customer, and solving for abundance instead of efficiencyWhether you're building in healthcare, fintech, or anywhere AI meets a high-stakes decision, these lessons hold up. Sources: ZS Impact Institute 2026 Future of Health Report; PatientPoint 2026 Patient Confidence Index. 📧 Connect with IDAAHub  Follow us on:  LinkedIn: https://www.linkedin.com/company/idaahub/ YouTube: https://www.youtube.com/@IDAAHUB Spotify: https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx Apple Podcasts: https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-ihealthcare/id1848710327 📧 Connect with Host  Host Deepti Kalghatgi: https://www.linkedin.com/in/deepti-kalghatgi/

    First, Do No Harm: How Hippocratic AI Built a $3.5B Company by Saying No

  8. Sep 8

    How & Where Can AI Make Trauma Care Better? | Part 2 with Dr John Green

    A patient can look completely fine — while the crash is already coming. AI might catch it hours before a human can. In Part 2 of this episode of The IDAAHub Podcast, host Deepti Kalghatgi and Dr. John Green — trauma & acute care surgeon, Professor of Surgery at Wake Forest University School of Medicine, and Medical Director at Atrium Health — move from the problem to the possibilities: how and where AI is already advancing trauma and critical care, and where it's headed next. From the ICU to the operating room, this half explores the places AI can do the most good — and the human moments it should never replace. In this episode: Critical care monitoring as the "low-hanging fruit" — turning endless ICU data into early warningsBeating alarm fatigue and predicting patient deterioration hours before it showsRobotic surgery, economy of motion, and AI-driven performance feedback for surgeonsThe human elements AI must not replace — ethical decisions and delivering hard news to familiesThe future: wearables that alert EMS, smarter regional trauma systems, and chest-wall/rib-fracture modelingThe stat most people don't know: trauma is the #1 killer from ages 1–44 — and it's dramatically underfunded🎧 New here? Start with Part 1 for the full story on why trauma is AI's toughest frontier. 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ YouTube: https://www.youtube.com/@IDAAHUB Spotify: https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx Apple Podcasts: https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327 📧 Connect with Host Host Deepti Kalghatgi: https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com

    How & Where Can AI Make Trauma Care Better? | Part 2 with Dr John Green
See All (30)

About

Join IDAAHub as we explore the cutting edge of AI adoption & innovation in healthcare. Each week, we bring you conversations with innovators, founders, and industry leaders who are transforming these critical sectors with artificial intelligence. From startup success stories to enterprise implementation strategies, we decode the complexities of startup growth and showcase products making real-world impact. Whether you're a healthcare executive, or AI enthusiast, discover actionable insights on building, scaling, and deploying AI solutions that matter. Hosted by Deepti Deepak this is your gateway to the future of intelligent healthcare

Information