Second Annual Institute for
Informatics Scientific Symposium:
Precision Health: Patients to Populations

April 12, 2019, 9:00 am — 4:30 pm

Donald Danforth Plant Science Center
975 North Warson Road
St. Louis, MO 63132

Registration is free and required.

Join the Institute for Informatics at Washington University in St. Louis for our second annual scientific symposium, Precision Health: Patients to Populations.

Advances in healthcare research and delivery are rapidly creating a new paradigm in which data-driven approaches will not only produce improvements in the care patients receive, but also enable the promotion of wellness beyond the hospital and clinic. Across a spectrum from artificial intelligence to genotyping to sensors and wearable technologies to electronic health record systems, we stand at critical inflection point, where data can be used not only to measure, but to intervene and improve outcomes for patients, their families, and their communities.

Schedule of Events

8:00 – 9:00 a.m.
Registration, breakfast, & networking

9:00 – 9:30 a.m.
Opening Remarks

David H. Perlmutter, MD
Executive Vice Chancellor for Medical Affairs
Spencer T. and Ann W. Olin Distinguished Professor
George and Carol Bauer Dean
Washington University School of Medicine

Philip R.O. Payne, PhD, FACMI
Robert J. Terry Professor and Director, Institute for Informatics (I2)
Washington University School of Medicine

9:30 – 10:30 a.m.
Session I

INTRODUCTION

Philip R.O. Payne, PhD, FACMI

Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease
Atul Butte, MD, PhD
Priscilla Chan and Mark Zuckerberg Distinguished Professor of Pediatrics, Bioengineering and Therapeutic Sciences, and Epidemiology and Biostatistics at UCSF
Director, Bakar Computational Health Sciences Institute, UCSF
Chief Data Scientist, University of California Health System (UC Health)

10:30– 10:45 a.m.
Break

10:45 – 11:45 a.m.
Session II

INTRODUCTION

Albert Lai, PhD
Chief Research Information Officer,
Deputy Director, Institute for Informatics (I2)
Associate Professor, Department of Medicine

The Accessible Artificial Intelligence for Data Science
Jason H. Moore, MD, FACMI
Edward Rose Professor of Informatics
Director, Institute for Biomedical Informatics
Director, Division of Informatics,
Department of Biostatistics, Epidemiology, & Informatics
Senior Associate Dean for Informatics
The Perelman School of Medicine
University of Pennsylvania

11:45 a.m. – 12:00 p.m.
Break

12:00 – 1:00 p.m.
Lunchtime Session

INTRODUCTION

Mark Frisse, MD, MBA, FACMI
Accenture Professor of Biomedical Informatics and
Vice Chair of Business Development
Vanderbilt University Medical Center

Policy and Workforce Challenges for Biomedial Informatics
Doug Fridsma, MD, PhD, FACP, FACMI
President and Chief Executive Officer of the American Medical Informatics Association

1:15 – 2:15 p.m.
Session III

INTRODUCTION

Randi Foraker, PhD, MA, FAHA
Associate Professor
Division of General Medical Sciences, Department of Medicine
Washington University School of Medicine

Advancing Precision Health by Addressing Social Determinants of Health
Adeze Enkewechi, PhD, MPP
President, IMPAQ, LLC

2:15-2:30 p.m.
Break

2:30-3:30 p.m.
Session IV

INTRODUCTION

Po-Yin Yen, PhD, RN
Assistant Professor of Medicine
Division of General Medical Sciences
Washington University School of Medicine
Assistant Professor, Goldfarb School of Nursing, Barnes Jewish College

Improving Health Equity Through Informatics
Sue Bakken, RN, PhD, FACMI
Alumni Professor of Nursing and Professor of Biomedical Informatics at Columbia University

3:30 – 3:45 p.m.
Closing Remarks
Philip R.O. Payne, PhD, FACMI

3:30 – 3:45 p.m.
Happy Hour

Improving Health Equity Through Informatics
Suzanne Bakken RN, PhD, FAAN, FACMI
Suzanne Bakken is the Alumni Professor of Nursing and Professor of Biomedical Informatics at Columbia University. Dr. Bakken currently directs the Center for Evidence-based Practice in the Underserved and the Reducing Health Disparities Through Informatics (RHeaDI) predoctoral and postdoctoral training program.

Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease
Atul Butte, MD, PhD
Atul Butte, MD, PhD, is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute at the University of California, San Francisco (UCSF). Dr. Butte is also the Chief Data Scientist for the entire University of California Health System, with 17 health professional schools, 6 medical centers, and 11 hospitals. Dr. Butte has been continually funded by NIH for 20 years, has authored over 200 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and Wired Magazine. Dr. Butte was elected into the National Academy of Medicine in 2015, and in 2013, he was recognized by the Obama Administration as a White House Champion of Change in Open Science for promoting science through publicly available data.

Advancing Precision Health by Addressing Social Determinants of Health
Adaeze Enekwechi, PhD, MPP
Dr. Adaeze Enekwechi is the President of IMPAQ, LLC, and a former Associate Director for Health Programs at the White House Office of Management and Budget (OMB). Dr. Enekwechi is a highly experienced healthcare executive with extensive contacts and deep understanding of federal health policies, including delivery system reform, and Medicare payment models.

Policy and Workforce Challenges for Biomedical Informatics
Douglas B. Fridsma, MD, PhD, FACP, FACMI
Dr. Doug Fridsma is the President and Chief Executive Officer of the American Medical Informatics Association. The AMIA membership society represents 5000 professional and student informaticians and their interests and activities in academe, industry, government and nonprofit organizations.
Dr. Fridsma’s professional experience also includes academic appointments at the Arizona State University/University of Arizona, Department of Biomedical Informatics; the University of Arizona Medical School; the University of Pittsburgh, Department of Medicine and Department of Biomedical Informatics; and Stanford University Medical Center (Fellow, National Library of Medicine). His clinical practice was with the Mayo Clinic, Scottsdale, Arizona.

The Accessible Artificial Intelligence for Data Science
Jason H. Moore, PhD, FACMI

Dr. Jason Moore is the Edward Rose Professor of Informatics and Director of the Penn Institute for Biomedical Informatics. He also serves as Senior Associate Dean for Informatics and Director of the Division of Informatics in the Department of Biostatistics and Epidemiology.
Dr. Moore leads an active NIH-funded research program focused on the development of artificial intelligence and machine learning algorithms for the analysis of complex biomedical data. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American College of Medical Informatics (ACMI), an elected fellow of the American Statistical Association (ASA), and was selected as a Kavli fellow of the National Academy of Sciences.