AI and Reimbursement - THMT Podcast Series

As AI continues to reshape clinical decision making and operational efficiency, one major question looms large: how do we pay for it—and who pays the price when something goes wrong?

In this THMT Unscripted podcast episode, we dive deep into the evolving landscape of AI reimbursement codes and explore how they differ from traditional digital medicine and remote monitoring programs. We'll unpack how health systems and digital health companies can set themselves up to use these codes effectively—and what happens when care, efficiency, or liability shifts from human to machine.

We’ll also explore the future of time based billing, the complexities of patient transparency, and what it really means when AI "saves time" but introduces new layers of risk. From direct pay models to health plans and employers, you'll hear perspectives that challenge how we think about value and trust in AI powered care.

Don't miss this conversation on the front lines of healthcare’s AI transformation.

Discussion Questions:

• How are AI reimbursement codes different from other digital medicine codes?
• How do companies and health systems set their programs up to use these codes?
• What should happen to time-based codes when AI reduces physician time?
• Who is liable when AI-assisted clinical decisions lead to harm?
• What information on AI performance should be presented to clinicians at point of care?
• What obligations exist when patients ask about AI use in their care?

The podcast link is https://doi.org/10.30953/thmt.v10.631

**BONUS**

This discussion features a special preview from one of the expert speakers at the upcoming ConV2X Smart Tech Transformation in Healthcare conference, taking place October 30–31 in New York City, where industry leaders from Google Cloud, Mayo Clinic, Cognizant, Optum, Brigham Women’s Hospital, Verizon, and others will explore how smart technologies are redefining care models, business incentives, and patient outcomes.

Speaker Biographies

Charles Dunham is a principal shareholder and corporate healthcare attorney at the international law firm of Greenberg Traurig, LLP. He advises an array of health care providers, suppliers, and other health-related entities, with a distinct focus on laboratory, telehealth, medical device, and digital health technology. He provides legal counsel in corporate, regulatory, transactional, reimbursement, privacy, and compliance matters.  He also represents clients in payor audits and investigations, white-collar civil and criminal defense, and commercial litigation. He represents a range of clients from early-stage start-ups to publicly traded companies, to provide advice in strategic planning, investor negotiations, and bringing products from the lab to market. 

 Matt Fisher is a Partner at Hancock, Daniel & Johnson, P.C. Matt represents all forms of healthcare care delivery organizations and healthcare startups to navigate through the complex maze of the healthcare industry. Matt enjoys the challenge of partnering with his clients to find creative solutions to enable the achievement of his clients' business goals by showing that legal representation adds a new perspective to idea consideration.

Aditi U Joshi MD, MSc,  is a global digital health consultant, bestselling author, and emergency physician with over 15 years of frontline and leadership experience. She co-created the Telehealth Success Framework, a strategic model used by healthcare systems worldwide to build sustainable, clinician-centered digital programs. She has led national initiatives in AI reimbursement, digital strategy, and clinician adoption. As the CEO of a strategic advisory firm, she advises health systems, startups, and government agencies on scaling digital care with integrity, trust, and clinical quality. Dr. Joshi serves on the American Medical Association’s Digital Medicine Payment Advisory Group and is a nationally recognized speaker on the future of care delivery, remote connection, and health system transformation. Her work bridges policy, innovation, and the human side of medicine.

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