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Podcast episode thumbnail image From Interview #101

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.

Podcast episode thumbnail image From Interview #100

Rethinking the Future of Medicine with Bertalan Meskó

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.

Podcast episode thumbnail image From Interview #99

Balancing Innovation and Regulation in Healthcare AI

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.

Podcast episode thumbnail image From Interview #98

The Real Costs of Poor Data Interoperability in Healthcare

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.

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Series Highlights

Podcast episode thumbnail image From Interview #100

How Patient Design Shapes the Future of Healthcare

With Dr. Bertalan Meskó

Dr. Bertalan Meskó, MD, PhD, Director of The Medical Futurist Institute, explains the concept of patient design and why it is critical to the future of healthcare. In this interview highlight, he defines patient-centered design and describes how involving patients in decision-making improves innovation, trust, and outcomes. For clinicians, executives, and health system leaders, this perspective provides clarity on how to integrate patient voices into care models and digital health solutions. With global experience analyzing medical technology trends, Dr. Meskó emphasizes that designing healthcare systems without patient participation is not only outdated but also ineffective. This discussion offers practical insights for leaders aiming to strengthen healthcare delivery through patient involvement.

Podcast episode thumbnail image From Interview #99

The Role of AI in Future Value-Based Care Reimbursement

With Stephen Speicher, MD, MS

Dr. Stephen Speicher, Senior Medical Director at Flatiron Health, offers a thought-provoking look into how artificial intelligence may become a requirement—not just an option—in future value-based care models. In this clip, he explores whether insurers might eventually mandate AI use in clinical decision-making as a condition for reimbursement, especially if AI demonstrates measurable improvements in patient outcomes. While the cost of AI today often falls on the healthcare provider, Speicher suggests a future where insurers not only pay attention to AI utilization but actively incentivize or even demand it. This shift could redefine how 'value' is operationalized in value-based healthcare, raising new questions about reimbursement, care quality, and access. His insights offer a forward-looking framework for understanding the evolving intersection of health tech and reimbursement models.

Podcast episode thumbnail image From Interview #99

Informed Consent and AI: Should Patients Have a Choice?

With Dr. Stephen Speicher

Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, shares insights on the evolving dynamics of informed consent in the age of artificial intelligence. As AI tools become increasingly embedded in clinical workflows, Speicher discusses whether patients should be informed, opt out, or share responsibility in these decisions. He addresses the ambiguity surrounding consent for ambient AI tools and the ethical dilemmas clinicians face when transparency meets technological complexity. The conversation underscores that as AI shifts toward becoming a standard of care, questions of healthcare informed consent and patient privacy become not only technical but deeply human. Speicher provides a thoughtful, systems-level view of this important intersection of AI and informed consent.

Podcast episode thumbnail image From Interview #100

Why Talking to Your Future Self Helps You Act Now

With Dr. Bertalan Mesko

Dr. Bertalan Mesko, Director of The Medical Futurist Institute, reveals how vision writing and the concept of “future selves” can dramatically impact our present-day decisions. In this segment, he shares how imagining yourself in future scenarios—whether as a parent, professional, or even a teenager with braces—can create emotional alignment and long-term motivation. Vision writing isn't a rigid forecasting tool, but a narrative-driven method to make future thinking more personal and actionable. Healthcare professionals and digital health strategists may find particular value in the psychological dimension of foresight, as it supports not just innovation planning but also behavior change—an underutilized lever in organizational and patient transformation.

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About the Series

AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.

Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.

Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.

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