April 2023 MIDAS / LHS Collaboratory Colloquium:

Implementing AI in Health

Monday, April 17, 2023
8:30 AM – 4:00 PM
Palmer Commons Great Lakes Room
100 Washtenaw Ave, Ann Arbor, MI


About the Implementing AI in Health Colloquium

Join us for the “Implementing AI in Health” colloquium, a collaborative event presented by the Michigan Institute for Data Science and LHS Collaboratory. This event features four esteemed speakers: Dr. Barbara A. Barry, Dr. Michael J. Kim, Dr. Lisa S. Lehmann, and Dr. Michael Pencina. These speakers will share their knowledge and expertise about the implementation of health AI and their prior, ongoing, and planned work in this area.

All are welcome to attend this free public event. Registration in advance is strongly recommended.


Monday, April 17, 2023

Monday, April 17, 2023: Featured Presentations
Palmer Commons, Great Lakes Room
100 Washtenaw Ave, Ann Arbor, MI

Welcome Remarks
9:00 AM
Keynote Talk #1: Lisa Lehmann
9:10 AM
A Roadmap for Implementing Trustworthy AI in Healthcare
Keynote Talk #2: Michael Pencina
10:00 AM
10:50 AM
Moderated Panel Discussion with Drs. Lehmann & Pencina
11:00 AM
Networking Lunch
11:20 AM
Welcome Back
12:10 PM
Keynote Talk #3: Barbara Barry
12:15 PM
Keynote Talk #4: Michael Kim
1:05 PM
1:55 PM
Moderated Panel Discussion with Drs. Barry and Kim
2:00 PM
Closing Remarks
2:20 PM

Colloquium Cosponsor

About the Speakers


Assistant Professor of Medicine | Collaborative Scientist, Robert D. & Patricia E. Kern Center for the Science of Healthcare Delivery, & Mayo Clinic Alix School of Medicine

Barbara A. Barry, Ph.D., is a human-computer interaction (HCI) researcher who studies how interaction with artificial intelligence (AI) impacts human intelligence, communication and behavior. Dr. Barry has made fundamental contributions to AI, developed and evaluated intelligent interactive software agents, and collaborated on large-scale implementations of new technologies to improve health and education. Dr. Barry’s work focuses on how technology enables (or disables) human agency in health care and how to create productive, ethical and evidence-based use of AI within a learning health care system.

Chief of Staff, National Artificial Intelligence Institute, U.S. Department of Veterans Affairs

Dr. Kim began his career with VA Long Beach Healthcare System in 2012 as the Section Chief of Neuroradiology and then served as Chief of Imaging Healthcare Group from 2017 to 2019.

Dr. Kim received his B.S. in Biochemistry and Molecular Biology from the University of California – Santa Cruz, his Medical Doctorate from the Feinberg School of Medicine at Northwestern University, Diagnostic Radiology Residency at the University of California – Irvine, and Neuroradiology Fellowship at the Keck School of Medicine at the University of Southern California. Dr. Kim holds an appointment with the School of Medicine at University of California – Irvine as an Associate Clinical Professor in the Department of Radiological Sciences.

Dr. Kim has held a variety of leadership positions ranging from Chief Resident, Chief Fellow, Section Chief, and Service Chief while also receiving a variety of awards including, Intern of the Year, Teacher of the Year, and Best Healthcare Group Chief. His research interests include the use of artificial intelligence and has a research grant with the Center of Artificial Intelligence in Diagnostic Medicine (CAIDM) at the School of Medicine at the University of California- Irvine. Dr. Kim is passionate in process improvement and has a Lean Six Sigma Black Belt in Healthcare Management.

Associate Professor of Medicine, Center for Bioethics, Harvard Medical School

Lisa Soleymani Lehmann is a primary care physician and bioethicist. She is Associate Professor of Medicine (part-time) at Harvard Medical School (HMS) and Associate Professor of Health Policy and Management (part-time) at the Harvard T. H. Chan School of Public Health. From 2020-2023 Lisa was Director of Bioethics at Google. She has also previously held positions as Chief Medical Officer (2017-2020) for the VA New England Healthcare System which is a multi-state integrated healthcare system comprised of 8 medical centers and 41 community-based outpatient clinics that serves over 260,000 Veterans. Prior to serving VA New England, Lisa was Executive Director of the VA National Center for Ethics in Health Care, Director of Bioethics at Brigham and Women’s Hospital, and a practicing primary care physician and health services researcher at Brigham and Women’s Hospital.

Vice Dean for Data Science and Director of Duke AI Health, Duke University School of Medicine

As Vice Dean of Data Science, Dr. Pencina is responsible for developing and implementing quantitative science strategies as they pertain to the education and training, and laboratory, clinical science, and data science missions of the School of Medicine. He leads the School’s IT strategic direction and investments, working in collaboration with the vice presidents and chief information officers of Duke Health and Duke University’s Office of Information Technology.

Dr. Pencina is a professor of Biostatistics and Bioinformatics at Duke University and served as director of Biostatistics at the Duke Clinical Research Institute (DRCI). He is an internationally recognized expert in risk prediction model development and evaluation. Expert panels and guideline groups frequently recommend methods for quantifying improvement in model performance proposed in his research.

Dr. Pencina is actively involved in the design, conduct and analysis of clinical studies with particular focus on novel and efficient designs and applications of machine learning for medical decision support. He interacts regularly with investigators from academic and industry institutions as well as with the Food and Drug Administration. Thomson Reuters/Clarivate Analytics recognized Dr. Pencina as a Highly Cited Researcher in social sciences and clinical medicine for the years 2014 – 2020. He is co-author of over 370 manuscripts published in peer-reviewed journals and has been cited nearly 65,000 times in professional publications. He serves as Deputy Editor for Statistics at JAMA-Cardiology and Associate Editor for Statistics in Medicine.

In 2003, Dr. Pencina received his PhD in Mathematics and Statistics from Boston University. He holds master’s degrees from the University of Warsaw in actuarial mathematics and business culture. Dr. Pencina joined the Duke University faculty in 2013. He served as an associate professor in the Department of Biostatistics at Boston University and the Framingham Heart Study and as director of Statistical Consulting at the Harvard Clinical Research Institute.

Contact Us


Message the MIDAS team: midas-contact@umich.edu