Hospitalist, Geisinger Medical Center; Vice Chair for Clinical Affairs, Medicine Institute, and Chief Quality Officer, Population Initiatives
Geisinger Health
Director, Surgical Informatics Lab and Faculty
Department of Biomedical Informatics, Harvard Medical School; Assistant Professor of Surgery, Beth Israel Deaconess Medical Center
Associate Professor
Harvard Business School
Medical Director of Advanced Technologies, Northwestern Medicine
Assistant Professor of Biomedical Engineering, McCormick School of Engineering
Director of Solution and Experience for Digital Care Transformation, Mass General Brigham
Internist, Brigham and Women’s Hospital; Assistant Professor of Medicine, Harvard Medical School
Head of Digital Health Research
Advisory Board
Editor-in-Chief, NEJM Catalyst Innovations in Care Delivery; Co-Chair, NEJM Catalyst Editorial Board; Chief Medical Officer, Press Ganey Associates, Inc.
Member, Editorial Board, New England Journal of Medicine
Clinical Assistant Professor, Division of Hospital Medicine, Stanford School of Medicine
Medical Informatics Director for Digital Health and AI Clinical Integration, Stanford Health Care; Director, Stanford Emerging Applications Lab (SEAL)
Editorial Director
NEJM Catalyst
Vice President, Population Health
Oak Street Health
Assistant Public Health Officer
County of Santa Clara Public Health Department; Clinical Assistant Professor (Affiliated), Stanford School of Medicine
Director of Machine Learning, AI, Healthcare Lab,
Johns Hopkins University, Founder and CEO, Bayesian Health
Digital Health Policy Fellow and Adjunct Assistant Professor
Duke-Robert J. Margolis, MD, Center for Health Policy, Duke University
Keith A. Boell, DO, MS-HQSM, SFHM, is a practicing hospitalist, the former Director of Hospital Medicine at Geisinger Medical Center, and previously a medical director at Geisinger Health Plan. He currently serves as Chief Quality Officer, Population Initiatives for Geisinger Health as well as the Vice Chair for Clinical Affairs for Geisinger’s Medicine Institute. He is a graduate of Bloomsburg University of Pennsylvania, the Philadelphia College of Osteopathic Medicine, and the Thomas Jefferson University School of Population Health.
Dr. Boell completed a combined Internal Medicine and Pediatrics Residency at Geisinger Medicine and is a past Chief Resident of the Internal Medicine Residency Program. He has faculty appointments at the Philadelphia College of Osteopathic Medicine and the Geisinger Commonwealth School of Medicine. Dr. Boell is passionate about quality improvement and high-value health care and is involved in multiple local and national initiatives to better health. In his free time, he enjoys spending time with his family as well as reading and being outdoors.
Gabriel Brat is a trauma surgeon and critical care physician at Beth Israel Deaconess Medical Center and faculty in biomedical informatics in the Department of Biomedical Informatics at Harvard Medical School. As Director of the Surgical Informatics Lab, Dr. Brat has a broad research focus on informatics tools to improve surgical outcomes. His research interests include clinical decision–support tools to optimize surgical opioid prescribing as well as leveraging large-scale database and machine learning models to predict the natural history of surgical care. Recent publications have shown the application of these algorithms on national insurance data to build point-of-care models to predict surgical needs and adverse outcomes. Dr. Brat is also interested in using machine learning methods to better understand intra-operative events as it relates to the continuum of care. A substantial collaboration with researchers at Stanford has generated computer vision methods to auto-segment and track surgeon behavior in surgical videos.
He is also the clinical lead for the international 4CE consortium, a federated analytics effort that leverages real-world data from 350 hospitals across 9 countries to surface insights about the Covid-19 pandemic from real-world data sources. As the cofounder of a recently acquired machine learning and computer vision company, he continues to teach a health IT innovation course at Harvard Medical School and mentors several digital health start-ups. Gabriel has an undergraduate degree in Bioengineering and a graduate degree in Public Health and Biostatistics from the London School of Hygiene and Tropical Medicine. He completed his medical training at Stanford University and his surgical residency at Johns Hopkins Hospital.
Ariel Dora Stern is the Poronui Associate Professor of Business Administration in the Technology and Operations Management Unit at Harvard Business School, where she teaches the MBA course “Transforming Health Care Delivery.” Ariel’s research focuses on technology management and innovation in health care. Her projects consider the regulation, strategy, and economics of health care, with a focus on understanding the drivers of new product development among firms and the determinants of how new medical technologies are adopted and used in practice. She is a faculty affiliate of Ariadne Labs, a joint center for health systems innovation at Brigham and Women’s Hospital and Harvard T.H. Chan School of Public Health and the Harvard-MIT Center for Regulatory Science. Her research has been cited by Bloomberg, the New York Times, and National Public Radio.
Ariel received her PhD from Harvard, where she was a National Bureau of Economic Research Predoctoral Fellow in the Economics of Health and Aging. She holds an undergraduate degree in economics from Dartmouth College, where she was a Presidential Scholar and a two-time U.S. national collegiate figure skating champion. From 2020–2021 Ariel served as the Director for International Health Care Economics at the Health Innovation Hub, the independent think tank of the German Federal Ministry of Health. She is a member of the Scientific Advisory Board of the German Society for Digital Medicine and advises health care start-ups.
Dr. Mozzi Etemadi is the Medical Director of Advanced Technologies at Northwestern Medicine. He is also an anesthesiologist at Northwestern Memorial Hospital, and an Assistant Professor of Biomedical Engineering at the McCormick School of Engineering. Mozzi’s “skunkworks” team of highly skilled engineers and data scientists at Northwestern Medicine started inside one of the intensive care units (ICUs), with engineers working literally feet away from patient rooms. Together with the nurses, physicians, and other hospital staff, his team continues to use advanced technologies to solve active problems in clinical workflow, predictive analytics, and wearable physiologic monitoring. Most recently, through a large collaboration across the health system, Mozzi’s team created an artificial intelligence system that helps identify patients that have critical findings on radiology studies and ensures timely follow-up.
Mozzi grew up in the Chicago area and fell in love with technology at an early age, first making websites for local businesses, then working for a start-up Internet service provider that used wireless radios to provide broadband to areas that were still on dial-up. He then spent 12 years in the San Francisco Bay Area, training in Electrical Engineering at Stanford and finishing medical school at UCSF and a PhD at UC Berkeley. During this time, he found several opportunities to bring state-of-the-art technology to solve an actionable, clinical need, and was named one of Forbes’ “30 Under 30” scientists.
William Gordon, MD, MBI, FAMIA is an internist and clinical informaticist at Brigham and Women’s Hospital and Mass General Brigham in Boston, Massachusetts.
Dr. Gordon has spent more than a decade working in healthcare information technology, and has written extensively on information security, interoperability, data standards, and digital product development.
He is currently faculty in the Division of General Internal Medicine and Primary Care at Brigham and Women’s Hospital, the Department of Biomedical Informatics at Harvard Medical School, and he is the Director of Solution and Experience for Digital Care Transformation at Mass General Brigham, where he leads a product management team tasked with building virtual care programs.
Dr. Gordon is an attending physician in the hospital medicine unit at Brigham and Women’s Hospital and an Assistant Professor of Medicine at Harvard Medical School.
John League leads Advisory Board’s research on digital health and transformation, including such topics as digital strategy, telehealth, artificial intelligence, digital equity, and competitive implications of technology in health care. His perspective has been featured by the Associated Press and The Washington Post. He holds degrees from the University of Louisville and the University of North Texas, and he has earned the Chartered Financial Analyst (CFA) designation.
Dr. Thomas Lee is Chief Medical Officer of Press Ganey, and an internist and cardiologist who practices at Brigham and Women’s Hospital in Boston. He is a Professor of Medicine, part time, at Harvard Medical School and Professor of Health Policy and Management at the Harvard School of Public Health. Prior to joining Press Ganey, he served as Network President for Partners Healthcare System and Chief Executive Officer for Partners Community HealthCare, Inc., the integrated delivery system founded by Brigham and Women’s Hospital and Massachusetts General Hospital.
He is a member of the Board of Directors of Geisinger Health System, Chairman of the Board of Directors for the Geisinger Health Plan, Geisinger Quality Options, Inc., and Geisinger Indemnity Insurance Company Board of Directors. He is also a member of the Board of Directors of Health Leads; the Board of Overseers of Weill Cornell Medical College; the Special Medical Advisory Group (SMAG) of the Veterans Administration; and the Panel of Health Advisors of the Congressional Budget Office. He is a member of the Editorial Board of the New England Journal of Medicine, as well as Editor-in-Chief of NEJM Catalyst Innovations in Care Delivery and Co-Chair of the NEJM Catalyst Editorial Board.
He is the author of more than 260 academic articles and three books, Chaos and Organization in Health Care, Eugene Braunwald and the Rise of Modern Medicine, and An Epidemic of Empathy in HealthcarNamed in his honor, the Thomas H. Lee Award for Excellence in Primary Care is given each year to recognize a primary care physician at Brigham and Women’s Hospital who meets the needs of his or her patients exceptionally well.
Tom holds a bachelor’s degree in History and Science from Harvard College, a medical degree from Cornell University Medical College, and a master’s degree in Epidemiology from the Harvard School of Public Health. He lives in Milton, Massachusetts, with his wife, Dr. Soheyla Gharib, who is Chief of Medicine at Harvard University Health Services. The couple has three daughters.
Ron Li is a Clinical Assistant Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health and Artificial Intelligence Clinical Integration at Stanford Health Care, he also provides medical and informatics direction for digital health and clinical AI for the health system. He is the cofounder and Director for the Stanford Emerging Applications Lab (SEAL), which builds novel digital apps for clinicians and staff at Stanford Health Care. His academic interests focus on the “delivery science” of artificial intelligence in health care and how to design, implement, and evaluate AI-enabled systems of care delivery.
As Editorial Director for NEJM Catalyst, Edward Prewitt oversees all editorial content for the monthly journal, NEJM Catalyst Innovations in Care Delivery; monthly Insights reports; and quarterly events. He works closely with NEJM Catalyst advisors, authors, and colleagues to ensure that editorial content advances the national and international dialogue to drive innovation in health care delivery, while upholding NEJM Group’s high standards for quality.
Jenna Rose is a Vice President of Population Health at Oak Street Health, a network of value-based primary care centers for adults on Medicare. In her role, Jenna focuses on improving care for Oak Street’s highest-risk patients and identifying opportunities for care model improvements through analytics. Her team has advanced Oak Street Health’s risk stratification and care planning techniques by leveraging data science in novel and impactful ways.
Prior to joining Oak Street Health, Jenna worked in health tech consulting and international health. She has a Master in Health Sciences from Johns Hopkins Bloomberg School of Public Health.
Dr. Sarah Rudman serves as Assistant Public Health Officer for the County of Santa Clara Public Health Department. She has led their STD/HIV Prevention & Control Program for the past 6 years. Since the start of the pandemic, she has played various roles overseeing the County’s Covid-19 operations, including its Covid-19 Contact Tracing Program and surveillance data collection. She received her Bachelor in Feminist Studies from Stanford, her MD from Weill Cornell, and her Master in Public Health from UC Berkeley.
She trained in Internal Medicine at Brigham and Women’s Hospital in Boston and in Infectious Diseases at UCSF before working first for the California Department of Public Health in bioterrorism pathogen response and outbreak investigation. She is the Medical Director for the county’s municipal STI Clinic and a Clinical Assistant Professor (Affiliated) at Stanford University School of Medicine in the Division of Infectious Diseases.
Suchi Saria, PhD, is the Founder and CEO of Bayesian Health; the John C. Malone Endowed Chair and Associate Professor of Computer Science, Statistics, and Health Policy; and the Director of the Machine Learning, AI, and Healthcare Lab at Johns Hopkins University. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. She has written several of the seminal papers in the field of ML and its use for improving patient care and has given over 250 invited keynotes and talks to organizations, including the NAM, NAS, and NIH. Dr. Saria has served as an advisor to several Fortune 500 companies and her work has been funded by leading organizations including the NIH, FDA, NSF, DARPA, and CDC.
In 2020, she was invited to deliver a TEDMED keynote entitled “Bringing AI to the Bedside,” discussing the opportunity for AI in the health care setting to save lives. At Bayesian Health, Dr. Saria is operationalizing her decades of research in the field to make health care proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
Dr. Saria has been featured in Bloomberg News and PBS NOVA and she has won several awards for excellence in AI and care delivery, including IEEE’s “AI’s 10 to Watch,” the Sloan Fellowship, MIT Tech Review’s “35 Under 35,” National Academy of Medicine’s list of “Emerging Leaders in Health and Medicine,” DARPA’s “List of Rising Stars,” World Economic Forum’s “100 Brilliant Minds Under 40,” Rock Health’s “Top 50 in Digital Health,” the Armstrong Award for Excellence in Quality and Safety, Node.Health’s Best in Class Digital Health Intervention Award, and the Society of Critical Care Medicine’s annual Scientific Award.
Christina Silcox is the Digital Health Policy Fellow at the Duke-Margolis Center for Health Policy, working on policy solutions to advance innovation in health and health care and improve regulation, reimbursement, and long-term evaluation of medical products.
Dr. Silcox’s portfolio includes multiple areas in digital health policy and real-world evidence, with a focus on medical devices. Currently, she is concentrating on challenges to the regulation, adoption, and payment of artificial intelligence–enabled health software. Her past projects have included topics such as using mHealth to collect real-world data, characterizing real-world data quality and relevancy, the exploration of value-based payments for medical devices, and convening the National Evaluation System for health Technology (NEST) Planning Board.
Before she joined Duke-Margolis, Dr. Silcox was a senior fellow at the National Center for Health Research, focused on federal regulation of and policies for medical products. She earned an MS from the Massachusetts Institute of Technology (MIT) in Electrical Engineering and a PhD in Medical Engineering and Medical Physics from the Harvard-MIT Division of Health Sciences and Technology (HST).
