From Interview #101
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.
From Interview #100
With Dr. Bertalan Meskó
Dr. Bertalan Meskó, globally recognized as The Medical Futurist, joins Dr. Sanjay Juneja to discuss how futures thinking can transform healthcare. With a career spanning over two decades, Dr. Meskó shares why the "future" of medicine shouldn't be left to think tanks alone. He introduces powerful foresight methods that healthcare professionals and policymakers alike can use to prepare for multiple futures. From the role of patient design to the promise of large language models and prompt engineering, Meskó outlines actionable frameworks for navigating the future of digital health. This interview emphasizes cultural shifts, not just technological ones, in advancing care systems and patient outcomes.
From Interview #99
With Stephen Speicher, MD, MS
Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, offers a pragmatic and optimistic perspective on healthcare AI safety and regulation. In this far-reaching discussion, he explains why nuanced governance is crucial to avoid overgeneralized policies that risk stalling innovation. He highlights the need for stratified oversight based on use case—from AI-driven diagnostic tools to administrative automation—and urges that responsibility for AI safety be shared across developers, deployers, clinicians, and health systems. Speicher also discusses the role of informed consent, patient data privacy, and the potential for AI to exacerbate or reduce health inequities. His thoughtful analysis resonates with IT, regulatory, and clinical leaders looking to safely scale AI in real-world settings.
From Interview #98
With Jordan Johnson, MSHA
In this illuminating interview, Jordan Johnson, MSHA, Founder and Principal of Bridge Oncology, unpacks the complexities behind healthcare data interoperability. Speaking with Dr. Sanjay Juneja, Johnson offers a deep dive into how interoperability—often oversimplified—functions in clinical, administrative, and technological workflows. Drawing from his experience as a legal and operational expert, Johnson discusses the downstream consequences of data misalignment and lack of standardization, especially in oncology and radiotherapy. With a strong stance on the need for regulatory frameworks and AI-powered infrastructure, Johnson highlights how true interoperability could reduce healthcare disparities, boost clinical efficiencies, and drive value-based care transformation. For any healthcare professional working with EHRs, payer systems, or health data, this conversation is essential.
