From Interview #102
With Mika Newton
In this roundtable episode from Tensor Black, Dr. Doug Flora joins co-hosts Dr. Sanjay Juneja, Debra Patt, and Mika Newton to explore how artificial intelligence is disrupting U.S. healthcare policy, oncology practice, and digital health innovation. Dr. Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare and Editor-in-Chief of *AI in Precision Oncology*, offers candid insights on change management, clinical decision support, and value-based care. The panel also dissects major themes from the Health conference, Medicare’s AI-driven authorization model, and how AI tools like chart summarization can reshape patient access and clinical efficiency. This discussion, designed for healthcare executives and oncology leaders, highlights how AI is not only augmenting decisions but demanding new strategies for adoption, reimbursement, and scale.
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.
