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Setting a Research Agenda for the Use of Artificial Intelligence & Machine Learning in Primary Care

Virtual Summit: March 18-19, 2021

FOR QUESTIONS CONTACT: Andrew Bazemore, & Mikel Severson at 1-202-600-9447

Event Details

Andrew Bazemore, MD, MPH

Andrew Bazemore, MD, MPH has served as the Senior Vice President of Research and Policy for the American Board of Family Medicine (ABFM), and co-director of the Center for Professionalism & Value in Health Care in Washington, DC., since 2019. Prior to that, he was the Director of the Robert Graham Center for Policy Studies, where he directed policy research with special interests in access to primary care, underserved populations, health workforce and training, and spatial analysis. He has authored over 200 peer reviewed publications. He also led the Graham Center’s emphasis on developing geospatial data tools intended to empower primary care providers, leaders, and policymakers and inform policy, such as HealthLandscape and the UDS Mapper, which currently helps to guides funding for all the nation’s Federally Qualified Health Centers. Dr. Bazemore sees patients and teaches at the VCU-Fairfax Medicine residency program, is an elected member of the National Academies of Medicine and serves on the faculties of the Departments of Family Medicine at Georgetown University, Virginia Commonwealth University, and the University of Toronto.

Ethan M. Berke, MD, MPH photo

Ethan M. Berke, MD, MPH is the Chief Medical Officer, Population Health Solutions, and Vice President of Clinical Innovation at Optum. In this role, Ethan serves as the clinical lead for provider and health-system focused solutions that improve the care of patients in the context of their community, and help the health system provide the highest quality care, at the lowest cost, with an exemplary patient and provider experience, no matter what payment system is utilized. He previously served as Medical Director of Clinical Design and Innovation for Dartmouth-Hitchcock Health System (D-HHS), an academic health system in New Hampshire. At D-HHS he was also Chief Medical Officer of ImagineCare, a 24/7 nurse-led, coordinated care model that leverages remote medical sensing and machine learning analytics to improve health and health care quality while reducing costs and empowering patients. Prior to leading these innovation groups. Dr. Berke was engaged in many operational initiatives, and formed and led the primary care service line at D-HHS. In his primary care leadership role, he focused on innovation in the provider practice, specifically developing and implementing value based compensation models for primary care physicians, an imbedded behavioral health clinician model, and multi-disciplinary team-based improvement projects to improve the patient experience.

Arlene S. Bierman, M.D., M.S. photo

Arlene S. Bierman, M.D., M.S., leads the work of CEPI, which consists of five divisions: the Evidence-Based Practice Center Program; the U.S. Preventive Services Task Force Program; the Division of Decision Science and Patient Engagement; the Division of Health Information Technology; and the Division of Practice Improvement, as well as the National Center for Excellence in Primary Care Research. Dr. Bierman is a general internist, geriatrician, and health services researcher, whose work has focused on improving access, quality, and outcomes of health care for older adults with chronic illness in disadvantaged populations. Dr. Bierman has also developed strategies for using performance measurement as a tool for knowledge translation and has conducted research to increase policymakers’ use of evidence.

Asaf Bitton photo

Asaf Bitton, MD, MPH, is the executive director of Ariadne Labs, a health systems innovation center at Brigham and Women’s Hospital and the Harvard T.H. Chan School of Public Health. He is a national and global expert on primary care policy, financing, and delivery.

He previously served as director of Ariadne Labs’ Primary Health Care Program, leading primary care measurement and improvement work in over a dozen countries along with previous work directing regional medical home learning collaboratives in Massachusetts. He is a core founder and leader of the Primary Health Care Performance Initiative, a partnership that includes the World Bank, the World Health Organization, and Bill & Melinda Gates Foundation dedicated to transforming the global state of primary health care. Currently, this partnership is scaling the launch and use of country-level dashboards on primary care performance across over 20 countries, with a goal of 60 countries by 2022. He is a senior advisor for primary care policy at the Center for Medicare and Medicaid Innovation. In this role since 2012, he has helped design and test three major comprehensive primary care payment and delivery initiatives, now active in 18 states, with over 70 payers and 3,000 practices that serve more than three million Medicare beneficiaries and 15 million total patients. These initiatives represent the largest tests of combined primary care payment and clinical practice transformation work in the United States.

Dr. Bitton practices primary care at Brigham and Women’s South Huntington clinic, a team-based primary care practice in Boston that he helped found in 2011.

Isabella Chu photo

Isabella Chu has been with the Stanford School of Medicine since 2001. She received her MPH in Public Health Nutrition from UC Berkeley in 2011 and joined The Stanford Center for Population Health Sciences (PHS) in 2016. Her research interests focus on social and environmental determinants of health, particularly the built environment and housing policy which promotes equitable access to the economy, education, and other opportunities. She is the Associate Director of the Data Core at PHS. The PHS Data Core specializes in hosting large, rich, high risk data which are used by hundreds of researchers to answer questions in precision and population health. Her primary responsibilities include overseeing governance and regulatory matters, data security, privacy and ethics and collaboration with the team of research scientists and engineers who have built the PHS Data Core platform. This platform and model have been replicated in several universities throughout the United States.

Jacqueline Kueper photo

Jacqueline (Jaky) Kueper is the first combined PhD candidate in Epidemiology and Computer Science at Western University and a graduate of the Transdisciplinary Understanding and Training on Research in Primary Health Care (TUTOR-PHC) program. Her research integrates these fields to 1) identify areas or challenges in primary health care where machine learning may be useful, and to 2) develop or adapt machine learning methods to support identified challenges and promote health equity. For example, Jaky’s doctoral research includes developing novel machine learning methods for decision support around multimorbidity care with the Alliance for Healthier Communities in Ontario, Canada. A pilot tool is currently underway and next steps include iterative machine learning model updating with primary care providers and then careful implementation tests and evaluation in clinical settings.

Winston Liaw photo

Winston Liaw is a family physician, health services researcher, and the Chair of Health Systems and Population Health Sciences at the University of Houston, College of Medicine. His research focuses on the primary care workforce, access, telemedicine, practice transformation, health informatics, and the integration of public health and primary care. In particular, his work focuses on assessing and addressing unmet social needs in clinical settings and integrating geospatial data and social determinants of health into prediction tools. Prior to joining the University of Houston, he was a researcher at the University of Texas Health Science Center at Houston and was the Medical Director at the Robert Graham Center, a primary care policy research institute affiliated with the American Academy of Family Physicians. He also served as residency faculty at the Virginia Commonwealth University, Fairfax Family Medicine Residency Program. Dr. Liaw received a BA degree from Rice University, an MD from Baylor College of Medicine, an MPH from the Harvard School of Public Health, family medicine residency training from Virginia Commonwealth University, and health policy fellowship training from the Robert Graham Center.

Dr Lin photo

Dr. Lin is the Executive Director of the Stanford Healthcare AI Applied Research Team (HEA3RT). He is an expert clinician, researcher, educator, and health system leader in the specialty of family medicine. Dr. Lin earned his MD from Stanford University School of Medicine and completed his medical training at Stanford’s family medicine residency program at O’Connor Hospital. He has received numerous national awards and is recognized among the top family physicians in the United States. Dr. Lin is the Service Chief for Family Medicine at Stanford Health Care. He cares for people of all ages, often for members of the same family. Dr. Lin has a particular interest in preventive cardiology, diabetes, viral hepatitis, and mental health. He is proficient in a wide range of primary care procedures – including over 40 different skin, musculoskeletal, and women’s health procedures that are performed in the office. Dr. Lin is the author of over 250 scholarly works and conference presentations. He is the Vice Chief for Technology Innovation in the Division of Primary Care and Population Health at Stanford. Dr. Lin’s current focus is on artificial intelligence in healthcare. He is a consultant and mentor to technology companies in the United States, Canada, Europe, and Asia.

John Maier photo

John Maier is an Assistant Professor and the Director of Research and Development in the Department of Family Medicine at the University of Pittsburgh. John is a Co-Director of the Innovation Core at the Clinical and Translational Science Institute where he is also the director of the Pitt Innovation Challenge. He completed his PhD in Physics and MD at the University of Illinois at Urbana-Champaign (UIUC) where his research focused on light-tissue interaction and its application to in-vivo spectroscopy. After completing the Medical Scholars Program at UIUC, he went on to the UPMC Shadyside Family Medicine Residency from 1999 to 2002. From 2002 to 2011 he worked at ChemImage Corporation in Pittsburgh as the leader of biomedical research and a member of the management team. In 2011 he returned to the University of Pittsburgh to join the faculty in the Department of Family Medicine where he serves on the executive committee and provides leadership and support to projects that span the range from comparative effectiveness research to health care system delivery innovation in community based settings. John enjoys teaching in the University of Pittsburgh School of Medicine where he is co-director of two courses focused on research project development and an area of concentration for students interested in bioengineering, bioinformatics, innovation and translation. Dr. Maier is a co-inventor on over 50 US patents and co-author on 16 peer reviewed publications and numerous proceedings, abstracts and presentations. “My position in the department of Family Medicine allows me to leverage my technical background in imaging and measurement science; my broad based primary care clinical background; and my experience in the industrial setting as I provide integration support and leadership to the complex work of translating academic and technical advances into clinical medicine.”

Miguel Marino photo

Miguel Marino, PhD is an Associate Professor of Biostatistics in the Department of Family Medicine at Oregon Health & Science University, and with the Biostatistics group in the OHSU-PSU School of Public Health. He received his B.S. in Mathematics from UCLA and his Ph.D. in Biostatistics from Harvard University. Dr. Marino maintains a broad statistical research program that focuses on the intersection of primary care and public health studies including utilizing novel statistical methodology to answer critical community and primary care research questions in health policy, health disparities and vulnerable populations, social determinants of health, health insurance monitoring, among others. Since 2013, Dr. Marino has been the Statistical Editor for the Annals of Family Medicine and he currently serves as the Publications Officer for the Health Policy Statistics section of the American Statistical Association. His body of research earned recognition in 2020 when he was selected by the National Academy of Medicine as an Emerging Leader in Health and Medicine Scholar.

Lars Peterson photo

Lars Peterson, MD, PhD is a family physician and health services researcher and Vice President of Research of the American Board of Family Medicine (ABFM) and an Associate Professor in the Department of Family and Community Medicine at the University of Kentucky. He received his medical and graduate degrees from Case Western Reserve University. His research interests include investigating associations between area level measures of health care and socioeconomics with both health and access to health care, rural health, primary care, and comprehensiveness of primary care. He has authored over 120 peer reviewed publications and made over 100 conference presentations. He is leading team research efforts at the ABFM to understand what family physicians do in practice and how the quality of care they provide can be improved. In particular, elucidating the ways in which Continuing Certification activities may be associated with quality of care.

Robert Phillips Photo

Robert Phillips, MD, MSPH is a graduate of the Missouri University of Science and Technology and the University of Florida College of Medicine where he graduated with honors for special distinction. He completed training in family medicine at the University of Missouri in 1998, followed by a two-year fellowship in health services research and public health. After fellowship, Dr. Phillips became assistant director of the Robert Graham Center, Washington DC, and from 2004-2012, he served as its Director. In 2012, he moved to the American Board of Family Medicine (ABFM) as Vice President for Research and Policy where he led the launch of a national clinical registry. Dr. Phillips currently practices part-time in a community-based residency program in Fairfax, VA, and is Professor of Family Medicine at Georgetown University and Virginia Commonwealth University. He served on the American Medical Association’s Council on Medical Education and as president of the National Residency Matching Program. From 2006-10, he was vice chair of the US Council on Graduate Medical Education, and from 2015-2019 he served on the National Committee for Vital and Health Statistics as co-chair of Population Health. Dr. Phillips currently serves as co-chair of the National Academy of Science, Engineering, and Medicine consensus study on Implementing High-Quality Primary Care. He served as a Fulbright Specialist to the Netherlands in 2012 and New Zealand in 2016. A nationally recognized leader on primary care policy and health care reform, Dr. Phillips was elected to the National Academy of Medicine in 2010 and currently chairs the NAM Membership Committee. In 2018, Dr. Phillips was named the founding Executive Director of the Center for Professionalism and Value in Health Care.

David Rehkopf photo

David Rehkopf is an Assistant Professor in the Department of Medicine at the Stanford University School of Medicine. His work focuses on the way in which social and economic factors impact health and mortality across the lifespan, with particular attention to the impact of work and earnings on cardiovascular biomarkers and obesity. He completed his dissertation at the Harvard School of Public Health in March of 2006 in the Department of Society, Human Development and Health. His dissertation, entitled “The non-linear impacts of income on mortality, biomarkers and growth,” documents the ways in which higher income has different returns to health and human development depending on a household’s position in the income distribution. He is currently the co-director of the Stanford Center for Population Health Sciences. In this position he is committed to making high value data resources available to researchers across disciplines in order to better enable them to answer their most pressing clinical and population health questions.

Sherri Rose photo

Sherri Rose, Ph.D. is an Associate Professor at Stanford University in the Center for Health Policy and Center for Primary Care and Outcomes Research. She is also Co-Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health. Within health policy, Dr. Rose works on risk adjustment, comparative effectiveness research, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. Dr. Rose is the Co-Editor of Biostatistics and Chair of the American Statistical Association’s Biometrics Section. Her honors include an NIH Director’s New Innovator Award, the ISPOR Bernie J. O’Brien New Investigator Award, and Mid-Career Awards from the American Statistical Association’s Health Policy Statistics Section and Penn-Rutgers Center for Causal Inference. Dr. Rose was also named a Fellow of the American Statistical Association in 2020. Her research has been featured in The New York Times, USA Today, and The Boston Globe. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.

Mark Sendak photo

Mark Sendak is the Population Health & Data Science Lead at DIHI and helps lead interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems. Together with the DIHI team, he has integrated dozens of data-driven technologies into clinical operations at Duke Health. He leads the DIHI Clinical Research & Innovation scholarship, which equips medical students with the business and data science skills required to lead health care transformation efforts. His work has been published in technical venues and clinical venues, such as Machine Learning for Healthcare, Nature Medicine, Plos Medicine, and JAMA Open. He is an organizer of the annual Machine Learning for Healthcare conference and loves partnering across boundaries to tackle hard problems. He completed his Bachelor’s of Science in Mathematics at UCLA and an MD and MPP at Duke University.

Christina Silcox photo

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, with a focus on digital health. 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 regulating and adopting of artificial intelligence-enabled software as a medical device, using mHealth to collect real-world data, and characterizing real-world data quality and relevancy. Her projects have included the use of patient-generated health data in medical device evaluations, the exploration of value-based payments for medical devices, and the 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 a M.S. from the Massachusetts Institute of Technology (MIT) in Electrical Engineering and a Ph.D. in Medical Engineering and Medical Physics from the Harvard-MIT Division of Health Sciences and Technology (HST).

Zhou Yang photo

Zhou Yang, Ph.D., MPH, is the senior health economist of American Board of Family Medicine. Born and raised in Beijing China, Dr. Yang obtained her Bachelor of Medicine in China, Master of Public Health from UCLA, and Ph.D. of health economics from University of North Carolina at Chapel Hill. Dr. Yang is specialized in health care financing policy, and had a diversified career history in academia, domestic and international health policy consulting, and industry. She used to teach at University of Florida and Emory University, consulted for Congress, the World Bank Group, and Humana. Dr. Yang is running the AI/ML research portfolio of the American Board of Family Medicine.


Mahnoor Ahmed, MEng is an Associate Program Officer at the National Academy of Medicine.

Nakul Aggarwal, is an MD-PhD student at the University of Wisconsin-Madison. He is currently completing his thesis research in the lab of Dr. Ned Kalin, Chair of Psychiatry. His work leverages large, multimodal, and longitudinal neuroimaging datasets in humans and non-human primates to examine how alterations in the development of white matter microstructure relate to trajectories of childhood anxiety. In addition to employing machine learning techniques in his research, he is interested in the clinical applications of AI, specifically in the domain of child and adolescent psychiatry, and has served as a scientific consultant on AI-related projects with the National Academy of Medicine.

Sanjay Basu, MD, PhD, is a primary care physician and epidemiologist. He is the Director of Research at the Harvard Medical School Center for Primary Care, as well as Vice President of Research and Population Health at Collective Health. Dr. Basu received his education from the Massachusetts Institute of Technology (MIT), Oxford University (as a Rhodes Scholar), and Yale before completing his residency in internal medicine at the University of California in San Francisco. He has previously worked with organizations to create and evaluate a supply chain to deliver high-cost medicines to low-income patients, mitigate the spread of drug-resistant infections in hospitals, build a rural hospital and community healthcare worker network, and address food insecurity through a community-based food assistance program. He had published over 300 peer-reviewed journal articles, been named to the “Top 100 Global Thinkers” List by Foreign Policy Magazine, awarded the NIH Director’s New Innovator Award, and received the Presidential Early Career Award for Scientists and Engineers. His work has focused on preventing and treating chronic diseases, reducing the health effects of financial shocks and other adverse social determinants of health, improving access to essential healthcare services, and improving primary care infrastructure and quality. He co-founded Possible Health and serves as a Fellow at Imperial College London and an Associate Prof