How AI Tools Are Reshaping Healthcare's Future With: Dr. Jason Hill
In the first AI and Healthcare roundtable, Dr. Sanjay Juneja convenes a powerhouse panel to dissect the future of AI in U.S. healthcare. Joining him are Mika Newton (CEO, xCures), Dr. Deborah Pat (EVP, Texas Oncology), and Dr. Jason Hill (Innovation Officer, Ochsner Health). Their wide-ranging discussion tackles urgent issues including workforce shortages, risk-based care, open-source AI models, and patient data access. Through real-world examples, the panel reveals how AI isn’t replacing physicians but rather redistributing care, automating low-value tasks, and unlocking powerful feedback loops that improve decision-making. The conversation also surfaces the policy, liability, and equity challenges standing in the way of scalable implementation. If you're navigating AI integration in clinical or operational settings, this episode offers clarity, urgency, and strategic foresight.
Episode Contents:
About the Guest
Dr. Jason Hill, the Innovation Officer at Ochsner Health, has a rare blend of hands-on clinical experience and leadership in innovation. He knows how AI is being deployed at scale in real hospital workflows and patient-care impact.
Key Takeaways
- AI tools are vital to bridge gaps in workforce shortages.
- AI improves efficiency by automating low-value administrative tasks.
- Risk-based care models need data and smart tech to scale.
Transcript Summary
Should physicians be worried about AI scoring perfectly on the USMLE?
No. AI's perfect recall augments human decision-making but can't replace clinical judgment. Doctors offer wisdom in context, not just memorization.
Does AI raise the bar for what makes a good physician?
Yes. With AI handling protocols, the differentiator becomes judgment, empathy, and personalized care.
How can open-source models like Med-Gemma help health systems?
Open models enable local inference, reduce latency, and democratize AI access. They allow real-time patient feedback and behavior nudging.
What role does AI play in risk-based and value-based care?
It can triage, manage common conditions, and assist with actuarial modeling. This supports scaling care amid rising Medicare populations.
What’s the challenge with data sharing in healthcare?
Liability, regulatory complexity, and inconsistent policy inhibit patient-mediated access and interoperability.
Can AI support mental health care?
Cautiously. AI can help triage and deliver CBT at scale, but failures in nuance make unsupervised use risky.
What policy changes are needed?
National patient identifiers, standard liability protections, and federal policy coherence are essential to unlocking scalable AI and data use.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare is an engaging interview series featuring world-renowned guests. Leading oncology AI thought leaders Drs. Sanjay Juneja, Debra Patt, and Doug Flora bring you conversations at the intersection of medicine, data, and innovation. Each episode explores both the big picture and the breaking news in artificial intelligence and healthcare—examining how today’s technology is reshaping the practice and business of oncology.
From industry disruptors to clinical pioneers, guests share insights that bridge the gap between algorithms and the art of patient care.