Couverture de The New Healthcare

The New Healthcare

The New Healthcare

De : Dr Adama Diarra
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The New Healthcare is a podcast for doctors, residents, and medical students who believe medicine can be better—including through independent practice. Hosted by Dr. Adama Diarra, an internal medicine physician, the show explores how clinicians and the experts who support them are rethinking how care is delivered, how practices are built, and how we can reclaim autonomy, purpose, and humanity in medicine—while delivering better care for our patients and our communities. Each episode dives into the evolving world of private practices, concierge medicine, direct primary care, and other innovative practice models, including micro-practices, telehealth-first clinics, and hybrid systems. Through conversations with physicians and thought partners across healthcare, the podcast offers practical insights into building sustainable practices, navigating nontraditional career paths, and practicing medicine on your own terms. While the primary audience is clinicians in training and practice, the show also welcomes listeners who are curious about personalized care models and the future of healthcare delivery. Whether you're a medical student exploring what's possible beyond the traditional system, a resident thinking critically about your career path, or a physician building or joining an independent practice, The New Healthcare provides thoughtful conversations, real-world lessons, and inspiration for the next era of medicine. The future of healthcare is being built right now—and you're part of it. Dr. Adama Diarra Internal Medicine Physician©2025 Economie Hygiène et vie saine Maladie et pathologies physiques Marketing et ventes
Épisodes
  • S1E22 Why Four Doctors Quit the Machine — And What It Actually Cost Them.

    S1E22 Why Four Doctors Quit the Machine — And What It Actually Cost Them.
    Jun 22 2026
    After months of conversations with physicians building independent practices — a concierge doctor who makes house calls, a DPC physician who traded a 2,000-patient panel for one capped at 300, an internal medicine doctor in Bend offering 60-minute first visits, and a cancer survivor running a holistic practice out of a converted space — Dr. Adama Diarra noticed the same four themes surfacing again and again. In this solo recap episode, Dr. Diarra pulls those threads together into one conversation: autonomy as a deliberate trade-off rather than an escape fantasy, AI as a tool to sharpen clinical judgment rather than replace it, the patient relationship as the actual product of medicine, and the constant temptation to let your brand outrun your care. Along the way: how an extra 45 minutes of autonomy helped one doctor catch a missed aortic aneurysm, why "physically ill" is how one physician described her old inbox, and why none of the doctors featured on this show built a following before they built trustworthy care. A practical, story-driven episode for any physician, NP, or PA weighing what independence actually costs — and what it's actually for.
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    27 min
  • S1E21 The New Healthcare-Your Brain on Hypnosis: Pain, Prediction, and the Science of State Change with James Harrison

    S1E21 The New Healthcare-Your Brain on Hypnosis: Pain, Prediction, and the Science of State Change with James Harrison
    Jun 15 2026
    The New Healthcare | In this episode, Dr. Adama Diarra sits down with James Harrison, certified clinical hypnotist and author of Mental Foraging, to explore what clinical hypnosis actually is — and what it isn't. James strips away the pop-culture myths and grounds the conversation in contemporary neuroscience: predictive processing, allostasis, mirror neurons, and the stability-plasticity problem. The two discuss how hypnosis works as a guided state change that can help patients access their own capacity for pain modulation, habit updating, and emotional reconsolidation. Practical territory covered includes chronic pain, IBS, fibromyalgia, smoking cessation, and sleep — along with clear guidance on which patients are good referral candidates and which aren't. James also shares simple, in-office techniques any clinician can use to begin shifting a patient's relationship to their pain signal — right in the exam room. For physicians looking to expand their integrative referral network, this episode offers both the neuroscience rationale and the clinical roadmap to do it thoughtfully.
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    1 h
  • S1E20 "I Don't Know" — The Three Words AI Can't Say (But Every Clinician Should)

    S1E20 "I Don't Know" — The Three Words AI Can't Say (But Every Clinician Should)
    Jun 8 2026
    "I Don't Know" — The Three Words AI Can't Say (But Every Clinician Should) In this solo episode, Dr. Adama Diarra makes the case that saying "I don't know" is one of the most underused and undervalued tools in clinical medicine. Using a real patient encounter from the week of recording — a gastroenteritis case in late spring where the standard viral default turned out to be the wrong seasonal answer — he walks through what happened when he paused, admitted uncertainty out loud, did the research, and came back with a better answer. The data showed a meaningful seasonal shift toward bacterial pathogens like Campylobacter and Salmonella in warmer months, which changed how he counseled the patient and shaped their shared decision to pursue supportive care with a clear plan to escalate if needed. From that clinical story, Dr. Diarra draws out three things "I don't know" actually accomplishes: it preserves a clinician's calibration and credibility, it models intellectual honesty for trainees, and most importantly, it protects patients by creating a disclosure loop that a confident wrong answer never would. The episode then pivots to a May 2026 New England Journal of Medicine perspective piece — Can AI Say "I Don't Know"? by Sikora, Celi, and Abdulnour — which argues that AI tools, as currently deployed, lack the reflex to disclose uncertainty. They generate fluent, confident responses regardless of whether the underlying evidence is solid or absent. Dr. Diarra illustrates the danger with a methotrexate dosing example and maps it back to his own gastroenteritis case: an AI would have given the annual default answer with full confidence, missing the seasonal nuance entirely. He closes with a practical framework: become AI-fluent, not AI-dependent. Use multiple sources the way clinicians always have — PubMed, Cochrane, colleagues, subspecialists. Don't outsource critical thinking. And until the tools learn to say "I don't know," that responsibility stays with the clinician.
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    22 min
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