(Re)Writing the Future of Health Care With Generative AI
Penn LDI Conference
Rapidly emerging applications of large language models–such as chat bots, apps that aid clinical care, or generate encounter notes, for example–can improve health care decision making and outcomes for providers and for patients. But without the right governance and regulatory guardrails, these models may cause more harm than good. Penn LDI and the Wharton Healthcare Analytics Lab gathered national experts for an in-person conference that explored how large language models can improve clinical decision making and patient communication, and discussed health system and policy strategies to reduce risks and maximize opportunities for advancing health care.
Conference Agenda
9:30 a.m.
Registration
10:00 a.m.
Welcome and Introductory Remarks
Rachel M. Werner, MD, PhD
Executive Director, Penn LDI; Robert D. Eilers Professor, Health Care Management and Economics, The Wharton School; Professor, Medicine, Perelman School of Medicine, University of Pennsylvania
Marissa King, PhD
Alice Y. Hung President’s Distinguished Professor, Professor of Health Care Management, Professor of Management
10:15 a.m.
Keynote Address and Q&A
Micky Tripathi, PhD, MPP
Assistant Secretary for Technology Policy, National Coordinator for Health Information Technology; Acting Chief Artificial Intelligence Officer, U.S. Department of Health and Human Services
Dan Gorenstein (moderator)
Executive Producer and Host, Tradeoffs Podcast
11:15 a.m.
Panel: Ethical Innovation: Patients, Doctors, and Large Language Models
- Maia Hightower, MD, MPH, MBA
Co-Founder and CEO, Equality AI - Zachary Lipton, PhD
CTO/CSO, Abridge; Raj Reddy Associate Professor, Machine Learning, Carnegie Mellon - David Sontag, PhD
CEO, Layer Health; Professor, Electrical Engineering and Computer Science, MIT - Ravi Parikh, MD, MPP (moderator)
Associate Professor, Department of Hematology and Medical Oncology, Emory University School of Medicine; Medical Director, Winship Data and Technology Applications Shared Resource, Winship Cancer Institute of Emory University
12:15 p.m.
Lunch
1:15 p.m.
Panel: Drafting the LLM Playbook: Key Questions for Health Systems
- Julia Adler-Milstein, PhD
Director, Center for Clinical Informatics & Improvement Research (CLIIR); Professor, Medicine, University of California, San Francisco - I. Glenn Cohen, JD
James A. Attwood and Leslie Williams Professor of Law, Harvard Law School - Sanmi Koyejo, PhD
Assistant Professor, Computer Science and Leader of Stanford Trustworthy AI Research (STAIR), Stanford University - Hamsa Bastani, PhD (moderator)
Co-Director of the Wharton Healthcare Analytics Lab and Associate Professor, Operations, Information, and Decisions, The Wharton School
2:15 p.m.
Break
2:30 p.m.
Panel: Keeping Pace: Regulatory Imperatives for Large Language Models in Health Care
- Elizabeth Edwards, JD
Senior Attorney, National Health Law Program - Jennifer Goldsack, MBA
CEO, Digital Medicine Society (DiMe) - Jenny Ma, JD
Principal Deputy Director, U.S. Department of Health and Human Services - Gary Weissman, MD, MSHP (moderator)
Assistant Professor, Perelman School of Medicine
3:30 p.m.
Final Remarks
Eric T. Bradlow, PhD
Vice Dean of AI & Analytics; Chairperson, Wharton Marketing Department;
and K.P. Chao Professor Professor of Marketing, Statistics, Education and Economics. The Wharton School
Conference Sponsors
Conference Speakers
Julia Adler-Milstein, PhD
Julia Adler-Milstein, PhD is a Professor of Medicine at the University of California San Francisco and Director of the Center for Clinical Informatics & Improvement Research (CLIIR). Named one of the top 10 influential women in health IT and a member of the National Academy of Medicine, her work focuses on electronic health records, interoperability, and emerging AI tools. Dr. Adler-Milstein received a PhD in Health Policy from Harvard University.
Hamsa Bastani, PhD
Hamsa Bastani, PhD is an Associate Professor in Operations, Information, and Decisions at The Wharton School. Her research seeks to leverage data-driven techniques to improve quality of care and reduce costs in health care. She co-directs the Wharton Healthcare Analytics Lab. Dr. Bastani completed her master’s degree at Harvard University, her PhD at Stanford University, and a Herman Goldstine postdoctoral fellowship at IBM Research.
Conference planning committee member.
Eric T. Bradlow, PhD
Eric T. Bradlow, PhD is the K.P. Chao Professor, Professor of Marketing, Statistics, Education and Economics, Chairperson of Wharton’s Marketing Department, and Vice Dean of AI & Analytics at Wharton. Professor Bradlow earned his PhD and Master’s degrees in Mathematical Statistics from Harvard University and his BS in Economics from the University of Pennsylvania.
I. Glenn Cohen, JD
I. Glenn Cohen, JD is the James A. Attwood and Leslie Williams Professor of Law and Deputy Dean at Harvard Law School where he serves as Faculty Director of the Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics. As an expert on the intersection of bioethics and health law, his current projects relate to medical AI, FDA law, mobile health, and other health information technologies. Professor Cohen received a JD from Harvard Law School.
Elizabeth Edwards, JD
Elizabeth Edwards, JD is a Senior Attorney in the National Health Law Program’s North Carolina offices and the Co-Founder of the Benefits Tech Advocacy Hub where she advocates for legal rights of public benefits recipients to be reflected in AI policies and practices. She uses litigation, administrative advocacy, education, and other tools to champion issues related to disability rights, community-based services, due process, and automated decision-making. She received a JD from the University of North Carolina at Chapel Hill.
Jennifer Goldsack, MBA
Jennifer C. Goldsack, MBA is the Founder and CEO of the Digital Medicine Society (DiMe). As a Coalition for Health AI (CHAI) and Sage Bionetworks Board of Directors Member, Member of the Roundtable on Genomics and Precision Health at the National Academies of Science, Engineering, and Medicine, and Steering Committee Member of the World Economic Forum Digital Health Action Collaborative, her work focuses on applied approaches to the safe, effective, and equitable use of digital technologies to improve health, health care, and health research. She received a Master’s in Chemistry from the University of Oxford, England, a Master’s in the History and Sociology of Medicine from the University of Pennsylvania, and a Master of Business Administration from the George Washington University.
Dan Gorenstein
Dan Gorenstein is Executive Producer and Host of Tradeoffs – a podcast exploring the complicated, costly and often counter-intuitive world of health care. He was a journalist in Chicago and at New Hampshire Public Radio, before joining Marketplace as senior health care reporter. He launched Tradeoffs to help leave policymakers, industry leaders and the American public better informed about the tough choices required to reform the U.S. health care system. Gorenstein is a graduate of the Quaker-run Earlham College in Richmond, Indiana, where he received a BA in Human Development and Social Relations.
Maia Hightower, MD, MPH, MBA
Maia Hightower, MD, MPH, MBA is the CEO and Co-Founder of Equality AI, an organization that provides AI quality assurance and compliance software for health care. Dr. Hightower previously served as an executive spanning health care IT, medical affairs, and population health across four academic medical centers, clinically integrated networks, and health care technology companies. Dr. Hightower received an MD and Master of Public Health from the University of Rochester School of Medicine and a Master of Business Administration from the University of Pennsylvania’s Wharton School.
Marissa King, PhD
Marissa King, PhD is the Alice Y. Hung President’s Distinguished Professor at the Wharton School of the University of Pennsylvania. She is a Professor in the Department of Health Care Management and in the Department of Management. She co-leads the Wharton Healthcare Analytics Lab.
Conference planning committee member.
Sanmi Koyejo, PhD
Sanmi Koyejo, PhD is an Assistant Professor at Stanford University in the Department of Computer Science and the Principal Investigator of Stanford Trustworthy AI Research (STAIR), which works to develop the principles and practice of trustworthy machine learning with a focus on health care applications. Dr. Koyejo serves on the Neural Information Processing Systems Foundation Board, the Association for Health Learning and Inference Board, and as President of the Black in AI organization. Dr. Koyejo received a PhD in Electrical Engineering from the University of Texas at Austin.
Zachary Lipton, PhD
Zachary Lipton, PhD is the Chief Technology Officer and Chief Scientist of Abridge, a company that provides AI-based ambient listening technology in healthcare, and the Raj Reddy Associate Professor of Machine Learning at Carnegie Mellon University, where he directs the Approximately Correct Machine Intelligence (ACMI) lab. His research focuses on the theoretical and engineering foundations of machine learning algorithm and their application to both prediction and decision-making problems in clinical medicine. He completed a PhD in the Artificial Intelligence Group at the University of California San Diego.
Jenny Ma, JD
Jenny Ma, JD serves as the Principal Deputy Director at the Office for Civil Rights at the U.S. Department of Health & Human Services. In her role, she oversees the implementation and enforcement of civil rights and privacy laws and related policy and strategic initiatives. She previously worked in reproductive rights litigation and policy. She received her JD from Columbia University.
Ravi Parikh, MD, MPP
Ravi B. Parikh, MD, MPP is an Associate Professor in the Department of Hematology and Medical Oncology at the Emory University School of Medicine. He serves as medical director of the Winship Data and Technology Applications Shared Resource at Winship Cancer Institute of Emory University where he works closely with leadership to develop and integrate artificial intelligence (AI) applications to improve the care of Winship patients with cancer. Dr. Parikh completed his MD at Harvard Medical School and his Master of Public Policy at the John F. Kennedy School of Government.
Conference planning committee member.
David Sontag, PhD
David Sontag, PhD is the Co-Founder and CEO of Layer Health, a Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science (EECS), the Hermann L. F. von Helmholtz Professor in the Institute for Medical Engineering and Science (IMES), and a Principal Investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Dr. Sontag’s research interests are in machine learning and artificial intelligence. Dr. Sontag received a Bachelor of Arts in Computer Science from the University of California, Berkeley and a PhD in Electrical Engineering from MIT.
Micky Tripathi, PhD
Micky Tripathi, PhD is the Assistant Secretary for Technology Policy, National Coordinator for Health Information Technology, and Acting Chief Artificial Intelligence Officer at the U.S. Department of Health and Human Services, where he leads the formulation of HHS technology and data strategy and coordinates technology policies, standards, programs, and investments. Dr. Tripathi has over 20 years of experience across the health IT landscape. He received a PhD in Political Science from the Massachusetts Institute of Technology and a Master of Public Policy from Harvard University.
Gary Weissman, MD, MSHP
Gary Weissman, MD, MSHP is an Assistant Professor in Pulmonary and Critical Care Medicine in the Department of Medicine at the University of Pennsylvania Perelman School of Medicine. His research is focused on the development of effective, equitable, and transparent clinical informatics tools that improve care processes and patient outcomes. His lab uses machine learning, artificial intelligence, social network analysis, natural language processing, and traditional causal inference methods to shepherd the development of informatics tools to the bedside. Dr. Weissman received his medical degree from the Sidney Kimmel Medical College at Thomas Jefferson University, and completed a residency in internal medicine at the Hospital of the University of Pennsylvania.
Conference planning committee member.
Rachel M. Werner, PhD
Rachel M. Werner, MD, PhD is the Executive Director of the Leonard Davis Institute of Health Economics. She is a Professor of Medicine at the University of Pennsylvania Perelman School of Medicine as well as the Robert D. Eilers Professor of Health Care Management and Economics at the Wharton School and a physician at the Philadelphia VA.
Speaker Disclosures:
In the interest of transparency, we asked speakers to disclose all relationships/activities/interests that are related to the content of the (Re)Writing the Future of Health Care With Generative AI conference. Submitted disclosures are below:
I. Glenn Cohen, JD – Chair of the ethics advisory board for Illumina and a member of the Bayer Bioethics Council. He is an advisor for World Class Health. He was also compensated for speaking at events organized by Philips with the Washington Post and the Doctors Company, attending the Transformational Therapeutics Leadership Forum organized by Galen Atlantica, and retained as an expert in health privacy, gender-affirming care, and reproductive technology lawsuits. He sits on the board of New England Donor Services.
Julia Adler-Milstein, PhD – Board of Opala, Board of AMIA, and on the AI Advisory Council of Augmedix
Sanmi Koyejo, PhD – Co-founder Virtue AI; Consultant Google Deepmind; Nonprofit Board member AHLI
Maia Hightower, MD, MPH, MBA – CEO and Founder, Equity AI – Leadership and company ownership