CODEX's AI and Diagnosis Webinar Series - June 2025
Ft. Beth Daley Ullem, MBA, and Christopher A. Longhurst, MD, MS.
Tuesday, June 24, 2025
About the Event
As AI becomes more deeply embedded in healthcare, how should health systems engage patients in conversations about the AI being used on them and about them?
This interactive roundtable featuring Christopher A. Longhurst, MD, MS, a health system leader and researcher, and Beth Daley Ullem, MBA, a national patient safety advocate, explored the promises and risks of AI in care. Together, they examined how AI can both accelerate patient safety improvements and introduce new harms, and how to engage patients in that tradeoff.
They shared real-world examples, insights about transparency and trust, and provocative ideas about disclosure, chatbot use, and what meaningful patient engagement and education should look like in the age of AI.
This session builds on our previous conversation with patient advocates and dives deeper into how health systems and patients can work together to ensure AI is used safely, respectfully, and ethically.
Featured Speakers
Beth Daley Ullem, MBA
Co-founder, Patients for Patient Safety US (PFPS)
Board Member, Institute for Healthcare Improvement (IHI)
Beth is a nationally recognized governance expert and activist for safety and quality in health care. She works with health system leadership teams, boards, and industry leaders to advance the quality and safety of patient care. At PFPS, a patient advocacy organization, Beth co-leads the public policy and AI safety efforts.
Christopher A. Longhurst, MD, MS
Chief Clinical & Innovation Officer, UC San Diego Health
Executive Director, Jacobs Center for Health Innovation
Associate Dean and Professor of Medicine and Pediatrics, UC San Diego School of Medicine
Chris is an internationally recognized scholar, educator, and administrative leader in the fields of quality, patient safety, and clinical informatics, especially healthcare AI. His focus is on optimizing quality, patient safety, and clinician experience through process improvement and advanced technologies, such as telemedicine, AI, and remote monitoring.
Anjana Sharma, MD, MAS (moderator)
Learning Hub Faculty Lead, UCSF CODEX
Associate Professor, UCSF Department of Family and Community Medicine
Anjana brings a wealth of experience in patient safety, quality improvement, patient engagement, medical education, and health equity. As a primary care physician and researcher, she has spent numerous years studying patient safety in primary and ambulatory care, researched strategies to prevent diagnostic and medication errors, and developed interventions to improve patient engagement in medical care. She also teaches evidence-based medicine and patient involvement in practice improvement to the UCSF Family and Community Medicine Residency Program at ZSFG.
Learn more about Anjana here.
About the Webinar Series
Dive headfirst into the future of healthcare innovation to unravel the most promising artificial intelligence (AI) advancements and approaches. At each event, CODEX brings together the brightest minds in the field to share exclusive updates and challenges from projects underway with the potential to reshape the landscape of medical diagnosis. Through this monthly webinar series, you'll hear from visionary researchers, on-the-ground providers, and the next generation of diagnostic excellence leaders who will illuminate the path toward real-life improvements for healthcare delivery, health equity, and patient care and outcomes.
For updates and future invitations, join our mailing list.
Disclaimer: This webinar is for educational purposes only. Such use does not constitute an endorsement or approval from UCSF of any organization, product, and/or service.