Appendix B
WORKSHOP AGENDA AND PARTICIPANT LIST
National Academy of Medicine Digital Learning Collaborative
November 30, 2017
National Academy of Sciences Building
Room 120
2101 Constitution Avenue, NW
Washington, DC 20418
| 8:30 a.m. | Coffee and light breakfast available |
| 9:00 a.m. | Welcome, introductions, and meeting overview |
Welcome from the National Academy of Medicine
Michael McGinnis, National Academy of Medicine
Opening remarks and meeting overview by Collaborative co-chairs
Jonathan Perlin, Hospital Corporation of America, Inc.
Reed Tuckson, Tuckson Health Connections, LLC
| 9:30 a.m. | Artificial intelligence and machine learning: Terms and definitions |
A “big picture” presentation on the AI/ML field and initial reflections on health applications.
Carla Brodley, Northeastern University
Q&A and Open Discussion
| 10:15 a.m. | Break |
| 10:30 a.m. | Strategies to enhance data integration to advance AI/ML |
This session will focus on the role of data integration and sharing in enhancing the capabilities of machine learning algorithms to improve health and health care.
Noel Southall, National Institutes of Health
Douglas McNair, Cerner Corporation
Jonathan Perlin and Edmund Jackson, Hospital Corporation of America, Inc.
James Fackler, Johns Hopkins Medicine
Q&A and Open Discussion
| 11:45 a.m. | Break |
Participants will pick up lunch.
| 12:00 p.m. | AI/ML opportunities in health and health care |
The lunch session will focus on the areas of health care where machine learning has the potential to improve patient outcomes, including opportunities
for better, faster, cheaper diagnosis, treatment, prevention, self and family care, service linkages, and etiologic insights.
Paul Bleicher, OptumLabs
Steve Fihn, University of Washington
Daniel Fabbri, Vanderbilt University
Tim Estes, Digital Reasoning
Q&A and Open Discussion
| 1:15 p.m. | Practical challenges for AI/ML development, spread, and scale |
Participants will explore the practical challenges related to AI/ML development, spread, and scale, including developing the business case, addressing regulatory and ethical considerations, and improving clinician acceptance and workforce expertise.
Nigam Shah, Stanford University
Michael Matheny, Vanderbilt University
Seth Hain, Epic Systems
Q&A and Open Discussion
| 2:30 p.m. | The charge for accelerating progress |
The aim of this session is to develop a charge and charter for an ongoing NAM AI/ML Collaborative Working Group. The charge will outline opportunities for the Working Group to address barriers and accelerate progress.
Sean Khozin, U.S. Food and Drug Administration
Javier Jimenez, Sanofi
Leonard D. Avolio, Cyft
Wendy Chapman, University of Utah
Q&A and Open Discussion
| 3:45 p.m. | Next steps |
Comments from the chairs
Jonathan Perlin, Hospital Corporation of America, Inc.
Reed Tuckson, Tuckson Health Connections, LLC
Comments and thanks from the National Academy of Medicine
Michael McGinnis, National Academy of Medicine
| 4:00 p.m. | Adjourn |
WORKSHOP ATTENDEES
Chairs:
Jonathan Perlin, MD, PhD, MSHA, MACP, FACMI
Chief Medical Officer
Hospital Corporation of America
Reed Tuckson, MD, MD, FACP, FACP
Managing Director
Tuckson Health Connections
Participants:
Carlos Blanco, MD, PhD
Director
Division of Epidemiology, Services and Prevention Research (DESPR)
National Institute on Drug Abuse
Paul Bleicher, MD, PhD
Chief Executive Officer
OptumLabs
Carla Brodley, MS, PhD
Dean, College of Computer & Information Science Professor
Northeastern University
Wendy Chapman, PhD
Chair, Department of Biomedical Informatics
University of Utah
Jonathan Chen, MD, PhD
Assistant Professor of Biomedical Informatics Research
Stanford University
Leonard D’Avolio, PhD
Founder and Chief Executive Officer
Cyft
Shahram Ebadollahi, MS, PhD
Vice President, Innovations & Chief Science Officer
IBM Watson Health Group
Tim Estes
President and Founder
Digital Reasoning
Daniel Fabbri, PhD
Assistant Professor of Biomedical Informatics
Vanderbilt University Medical Center
James Fackler, MD
Associate Professor
Director of Safety, Quality, & Logistics in the PICU
John Hopkins Medicine
Steve Fihn, MD, MPH, FACP
Division Head, General Internal Medicine Professor
University of Washington
Kenneth R. Gersing, MD
Informatics Director
National Center for Advancing Translational Sciences
National Institutes of Health
Seth Hain, MS
Research & Development Product Lead, Machine Learning
Epic Systems
Michael Howell, MD, MPH
Chief Clinical Strategist
Brigham Hyde, PhD
Chief Executive Officer
Precision Health Intelligence
Edmund Jackson, PhD
Chief Data Scientist
Hospital Corporation of America
Javier Jimenez, MD, MPH
Vice President, Global Head Real World Evidence & Clinical Outcomes
Sanofi
Sean Khozin, MD, MPH
Acting Associate Director, Oncology Center of Excellence
U.S. Food & Drug Administration
Hongfang Liu, MS, PhD
Professor of Biomedical Informatics
Mayo Clinic
Jennifer MacDonald, MD
Director of Clinical Innovations and Education
U.S. Department of Veterans Affairs
Michael E. Matheny, MD, MS, MPH
Associate Professor
Vanderbilt University
Douglas McNair, MD, PhD
President, Cerner Math Inc.
Cerner Corporation
Wendy Nilsen, PhD
Program Director
National Science Foundation
Matthew Quinn, MBA
Senior Advisor
Health Information Technology
Health Resources and Services Administration
Joachim Roski, PhD, MPH
Principal
Booz Allen Hamilton
Robert E. Samuel, DSc
Senior Director, Technology Strategy & Research
Aetna
Noel Southall, PhD
Leader, Informatics Division of PreClinical Innovation
National Institutes of Health
Bob Tavares
Vice President, Business Development
Emmi Solutions
Sonoo Thadaney-Israni, MBA
Executive Director, Stanford Presence Center
Stanford Medicine
Howard Underwood, MD, MBA, MS, FSA
Vice President, Member Management Analytics
Anthem
Shawn Wang, MBA
Vice President, Data Science
Anthem
Daniel Yang, MD
Program Fellow, Patient Care
Moore Foundation
Maryan Zirkle, MD, MS, MA
Senior Program Officer
Patient-Centered Outcomes Research Institute
Observers and Web Participants:
Jia Chen, PhD
Technology Strategy, Watson Health Innovation
IBM Watson Health Group
Catherine Ordun, MPH, MBA
Senior Data Scientist
Booz Allen Hamilton
Nigam H. Shah, MBBS, PhD
Associate Professor of Medicine
Stanford University
Ernest Sohn, MS
Chief Data Scientist
Booz Allen Hamilton
David Sontag, PhD, SM
Principal Investigator, Computer Science & Artificial Intelligence Laboratory
Massachusetts Institute of Technology
National Academy of Medicine Staff:
Urooj Fatima
Senior Program Assistant
National Academy of Medicine
Emma Fine
Senior Program Assistant
National Academy of Medicine
Gwen Hughes
Senior Program Assistant
National Academy of Medicine
Danielle Whicher, PhD, MHS
Senior Program Officer
National Academy of Medicine
Michael McGinnis, MD, MPP
Executive Director, Leadership Consortium for a Value & Science-Driven Health System
