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Episode #

55

AMDIS Roundtable - Before the Digital Front Door: How AI Is Reshaping the Patient Journey

“If you're a practicing clinician, you are inheriting the output from these AI tools.”


Dr. Minal Shah knows that patients are increasingly making healthcare decisions before they ever reach a health system’s website, portal, or app. They’re using ChatGPT, search, wearables, and home monitoring tools to interpret symptoms, decide where to seek care, and arrive at appointments with recommendations already in hand. For clinicians, the output of consumer AI is already becoming part of the clinical encounter.


In this AMDIS Roundtable, Gregg Malkary sits down with Dr. Minal Shah, Dr. Eve Cunningham, and Dr. Deepti Pandita to explore what happens when AI impacts if and how patients reach a health system's digital front door.


The results can cut both ways. Dr. Shah has seen patients arrive better informed and clearer about their priorities, allowing the visit to begin “from a point of better knowledge for both parties” and creating more room for shared decision-making. Dr. Cunningham has also seen patients convince themselves something is wrong, including one who visited three different urgent cares in 24 hours after repeatedly turning to a chatbot for guidance.


That creates a practical challenge for health systems: helping patients find useful guidance while protecting against unreliable recommendations, incomplete information, delayed care, and unnecessary utilization. Dr. Pandita sees an opportunity to build AI into tools patients already encounter, including pre-visit questionnaires, where it could add “depth and perception” while making information easier for patients to provide and clinicians to interpret. Dr. Shah describes a more structured handoff from these tools that could create value for both patient and provider.


From patient navigation and data governance to quality oversight, clinical workflow, and workforce capacity, these three informatics leaders examine where AI is already helping, where caution is warranted, and how health systems can create value for patients and staff as these tools become part of everyday care.


All roads leading to the digital front door are becoming more complex. Dr. Pandita sees the opportunity for AI to help patients navigate them: “Every step through the healthcare journey, it becomes your sort of partner in navigating the healthcare system.”

EPISODE GUESTS

Deepti Pandita

UCI Health

Chief Medical Informatics and AI officer

Dr. Deepti Pandita, MD, FACP, FAMIA, is a prominent clinical informaticist, healthcare executive, and academic who serves as the Vice President of Clinical Informatics, Chief Medical Informatics Officer, and Chief AI Officer at UCI Health, the academic medical center for the University of California, Irvine. In these concurrent roles, she spearheads artificial intelligence (AI) governance, digital transformation, and clinician efficiency frameworks, focusing on deploying ambient documentation and AI-driven workflow solutions to mitigate cognitive burnout among medical staff. An Associate Professor of Medicine and faculty member for UCI's Clinical Informatics Fellowship program, she previously served as the Chief Health Information Officer (CHIO) and fellowship program director at Hennepin Healthcare in Minneapolis. Dr. Pandita is a leading national advocate for health equity and bridging digital health disparities among underserved populations. Her national leadership includes serving as a Board Member of the American Medical Informatics Association (AMIA), Chair of the Medical Informatics Committee for the American College of Physicians (ACP), and co-authoring the ACP's national policy position paper on AI in healthcare provision. Board-certified in both internal medicine and clinical informatics, she earned her medical degree from Christian Medical College in Vellore, India, and completed her residency training at the University of North Dakota.

Eve Cunninham

Cadence

Chief Medical Officer

Dr. Eve Cunningham, MD, MBA, is a prominent physician executive, entrepreneur, and digital health innovator with over two decades of experience designing and scaling advanced clinical operating models. She currently serves as the Chief Medical Officer (CMIO) at Cadence, a remote patient care delivery organization where she spearheads the continuous care infrastructure for national chronic disease management. Dr. Cunningham is also the founder of MedPearl, an AI-assisted and EMR-integrated clinical decision support platform that she incubated while serving as the Group Vice President and Chief of Virtual Care and Digital Health at Providence. At Providence, she led nine enterprise virtual care service lines—including hospital-at-home and virtual nursing initiatives—and successfully grew MedPearl until its acquisition in January 2026. A board-certified OB/GYN, she maintains her clinical practice on a contract basis with Virginia Mason Franciscan Health, where she previously held multiple leadership roles, including Division Chief of Women’s, Children’s, Virtual, and Prompt Care Services. Dr. Cunningham also contributes widely to industry discourse as a contracted healthcare writer for Forbes, covering women's health and clinical technology transformation.

Minal Shah

CommonSpirit Health

Physician Informaticist

Dr. Minal Shah (MD) is a practicing hospitalist, physician informaticist, and health technology leader serving as System Medical Informaticist at CommonSpirit Health and a member of Epic’s national Telehealth Advisory Board. Positioning herself as a "techno-pragmatist," she specializes in clinical workflow design, safe AI integration, and virtual care adoption aimed at reducing clinician cognitive burden while protecting the patient-physician relationship. Her leadership background includes serving as Medical Director of Virtual Care and Lead Hospitalist at CommonSpirit’s tech-enabled Hospital of the Future, backed by years of frontline clinical care and chief residency training at Baylor College of Medicine. Active across the digital health ecosystem, Dr. Shah also serves as an external clinical reviewer for the Utah Office of Artificial Intelligence Policy's AI Sandbox Program and mentors emerging healthcare innovators through the MD+ Catalyst Fellowship.
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