Free Daily Podcast Summary
Practical AI in Healthcare: Daily Summaries Delivered
by Steven Labkoff
AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today. Hosted by senior leaders— former VPs of life science technology groups, clinical informatics professionals from top-tier organizations, and a former Big Four consultant—each episode features candid conversations with the people making AI work inside the healthcare enterprise.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 3 days ago54 min
S1, E47 - Vimla Patel: Cognitive Science of Clinical Reasoning
Dr. Vimla Patel has spent four decades studying how physicians actually reason, and what happens when technology ignores it. In this episode, she explains the difference between forward reasoning (the fast, pattern-driven hallmark of expertise) and backward reasoning (the slower, hypothesis-testing mode of novices), and why most clinical AI is built for the wrong one. Through two vivid cases, a textbook expert diagnosis and a near-fatal potassium overdose driven by a flawed order-entry system, she shows how good design preserves clinical judgment and bad design erodes it. She closes with a warning about confident AI and the quiet loss of independent thinking.
- 1 weeks ago57 min
S1, E46 - Peter Embi: The Doctor Who Diagnosed Himself
Peter Embi has spent his career at the intersection of medicine and informatics: coining the term "algorithmovigilance," serving as the nation's first Chief Research Information Officer, and leading AI work at Vanderbilt. He is also a patient. A rare adrenal tumor took nearly 15 years and a self-diagnosis to catch, and it nearly killed him. In this conversation, Embi connects that diagnostic odyssey to the case for monitoring clinical AI the way we monitor drugs: continuously, in the real world, across a network of institutions. The discussion runs from zebras and missed diagnoses to VAMOS, the "air traffic control tower" his team built to keep deployed models honest.
- 2 weeks ago53 min
S1, E45 - Mika Newton, xCures: Intelligent Interoperability
Interoperability has been healthcare's twenty-year broken promise, but something genuinely changed. Mika Newton, CEO of xCures, explains how provider data exchange jumped from roughly 30% to 85–90% in just two years, and why that's only half the story. Moving records, it turns out, was never the hard part. As Newton puts it, "records travel, but they don't translate" — most of a record arrives as duplicated notes and scanned images that still have to be made usable. Steve and Leon dig into the honest limits of AI parsing, the card-network model behind nationwide exchange, and why the patient is becoming the real access point to their own data.
- 3 weeks ago48 min
S1, E44 - Reflections #6: After Five Episodes, What Still Has to Be Human?
In their sixth Reflections episode, Steve and Leon look back across five conversations (Sarah Rossetti, Jeff Smith of ONC, Hugo Campos, Fred Bennett, and Zak Kohane) and decide, deliberately, not to force a single grand theme. What surfaces anyway is one question asked five ways: as AI gets genuinely capable, what still has to be human, and what makes it trustworthy? They cover Rossetti's CONCERN system that models the nurse instead of the patient, ONC giving AI agents patient-like data rights, the tension between patient empowerment and black boxes you don't understand, the Minimum Trustable Product, and Kohane's method for measuring the values a healthcare AI actually acts on. A practical tour of where good is starting to look real.
- Jun 28, 202657 min
S1, E43 - Isaac "Zak" Kohane, MD, PhD (Chair, Biomedical Informatics, Harvard Medical School; founding Editor-in-Chief, NEJM AI)
A quiet war is underway over who controls your health data in the age of AI, and the front-runners aren't the usual suspects. Dr. Isaac "Zak" Kohane, Chair of Biomedical Informatics at Harvard Medical School and founding editor of NEJM AI, traces the line from SMART on FHIR (the accidental standard he helped create in 2009) to today's battle for the doctor-facing AI layer, where companies like OpenEvidence are outrunning the EHR incumbents. He also unveils his Human Values Project, which measures the values embedded inside clinical AI models, and warns how easily payers and pharma could tune them. A two-act conversation about freeing data and guarding values.
- Jun 21, 202658 min
S1, E42 - Live with Fred Bennett, Founder & CEO, PatientTalker
For its first-ever live episode, recorded before an audience at New York Tech Week, Practical AI in Healthcare sits down with Fred Bennett, founder and CEO of PatientTalker — an ambient-AI app built for the patient rather than the clinician. (Steve Labkoff is a disclosed advisor to the company.) Bennett traces the idea to his father's cardiology visit, where three family members left with three different memories of the same conversation. The discussion covers why patients are the forgotten end-user of clinical AI, how to build a "minimum trustable product," the honest question of who pays for patient-first tools, and why the technology is rarely the hard part.
- Jun 14, 202651 min
S1, E41 - Hugo Campos: Patient-Directed AI
Patient advocate Hugo Campos spent more than a decade fighting for access to the data from his own implanted defibrillator. When the system wouldn't budge, he stopped trying to reform it and started building around it. In this episode, Hugo shows how he used agentic AI coding tools to create OpenKP, an open-source app that liberates his records from inside Kaiser Permanente, despite calling himself a non-coder. He and the hosts unpack the line between institutional AI and patient-directed AI, the discipline of having two AIs check each other, and why he believes "critical AI health literacy" now matters more than knowing how to code.https://practicalaiinhealthcare.com/
- Jun 7, 202643 min
S1, E40 - Jeff Smith — AI Regulation, Transparency & Innovation from the Government Perspective
What happens when the rules for getting AI into clinical care are written by someone who has spent his career inside both the advocacy world and the government? In this episode, we talk with Jeff Smith of ONC at HHS, the first government official on Practical AI in Healthcare. Smith walks us through ONC's proposed HTI-5 rule, including a striking move to treat AI agents as "users" with the same data-access rights as clinicians, and a new question about whether blocking data from being written back into the EHR is itself information blocking. We also dig into the limits of what a regulator can actually do, and why the real work is coordination across agencies rather than control from any one of them.https://practicalaiinhealthcare.com/https://www.youtube.com/@PracticalAIinHealthcare
Get Practical AI in Healthcare summaries in your inbox
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
You Might Also Like
Listeners also like.
Practical AI
Discussions on practical applications of AI, machine learning, and related technologies for professionals, students, and enthusiasts.
Me, Myself, and AI
AI leaders from top companies share real-world strategies for turning artificial intelligence into measurable business results.
The AI in Business Podcast
Executives discuss practical AI adoption in business through interviews focused on strategy, use-cases, and ROI.
Eye On A.I.
A biweekly podcast exploring artificial intelligence through conversations with key figures shaping its development and global impact.
Everyday AI Podcast – An AI and ChatGPT Podcast
Practical AI and ChatGPT tips for professionals to improve productivity and grow their careers.
AI and I
Interviews with professionals who use AI tools in their work, exploring how AI affects creativity, thinking, and daily life through live demonstrations.
The Deep View: Conversations
Discusses AI advancements and leadership with innovators from labs, enterprises, and startups shaping the industry.
Building AI Boston
Discusses artificial intelligence through real-world applications and ethical considerations in Boston’s tech community.
OpenAI Podcast
Conversations with OpenAI researchers and builders exploring how frontier AI models are developed and used in practice.
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
Interviews with AI developers and researchers exploring the transformative impact of artificial intelligence on society and technology.
The Anthropic AI Daily Brief
Breaks down Anthropic's latest AI advancements and their real-world implications in clear, accessible language.
The AI XR Podcast.
Industry insiders interview top founders and executives on AI, spatial computing, VR/AR, and synthetic media.
About Practical AI in Healthcare
AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today. Hosted by senior leaders— former VPs of life science technology groups, clinical informatics professionals from top-tier organizations, and a former Big Four consultant—each episode features candid conversations with the people making AI work inside the healthcare enterprise.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from Practical AI in Healthcare in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's Practical AI in Healthcare daily summary?
It's a free AI-powered email that summarizes new episodes of Practical AI in Healthcare as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the Practical AI in Healthcare podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official Practical AI in Healthcare product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Steven Labkoff.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
How often does Practical AI in Healthcare release new episodes?
Practical AI in Healthcare publishes weekly. Our AI generates a summary within hours of each new episode.
What topics does Practical AI in Healthcare cover?
Practical AI in Healthcare covers topics including Medicine, Fitness, Health & Fitness. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting Practical AI in Healthcare summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.