The document discusses the Institute for Informatics at Washington University School of Medicine. It provides background on Washington University, the medical school, and healthcare partner BJC Healthcare. It then describes the creation of the Institute for Informatics to advance precision medicine through translational bioinformatics, learning healthcare systems, and population health informatics. The Institute brings together leaders in clinical informatics, biostatistics, and other fields to generate health knowledge from data and improve patient care.

1. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Pushing the Bounds of Medicine and
Improving Health Around the World:
Washington University, BJC Healthcare, and
the Institute for Informatics (I2)
Philip R.O. Payne, PhD, FACMI
Robert J. Terry Professor and Director, Institute for Informatics
Washington University School of Medicine
Professor of Computer Science and Engineering
Washington University School of Engineering and Applied Science

2. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
• The greater St. Louis area is home to
2,916,447 people
• In 2006, St. Louis received the World
Leadership Award for urban renewal
• >40 colleges, universities, and technical
schools
• The Cortext Innovation Community
serves a regional bio-tech, life science,
and information technology (IT) start-
up hub
• Generating >3,800 tech-related jobs and >500
million in investment in the last 14 years
• Multiple incubators, venture funds, and
innovation assets
• St. Louis ranked #1 on the list of
America's "fastest-growing cities for
tech jobs" according to Fortune
Magazine and among the top 10 most
cost-effective to do business among
large metropolitan areas in the US
according to KPMG
• Home to nine Fortune 500 companies:
Express Scripts, Emerson Electric,
Monsanto, Reinsurance Group of
America, Centene, Peabody Energy,
Ameren, Graybar Electric, and Edward
Jones Investments.
St. Louis, Missouri

3. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
• Established in 1853
• Consistently ranked amongst the top
25 universities globally
• 7 graduate and undergraduate
schools
• 14,385 students
• 3,759 faculty
• 645.6 million in annual research
funding
• 24 Nobel Laureates
• 140,188 alumni
• 4th ranking among largest
employers in St. Louis – St. Louis
Business Journal Book of Lists 2016
• Motto: Per Veritatem Vis (Strength
Through Truth)
Washington University in St.
Louis

4. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
• 125-year history
• Most selective medical school in the
United States (US)
• Comprehensive healthcare professional
and graduate degree programs
• Largest MD/PhD program in the US
• Consistently ranked as one of the top 5
research-intensive medical schools in
the country
• >500 Million (USD) annually
• Serves as a catalyst for the St. Louis
biotech and startup scene, including
the Cortex Innovation District
• Exclusive clinical partnership with BJC
Healthcare
• Home to both an NCI-designated
Comprehensive Cancer Center (CCC)
and NCATS-designated Clinical and
Translational Research Award (CTSA)
• Also home to the Elizabeth H. and
James S. McDonnell Genome Institute,
one of the top 3 large-scale genome
centers in the US
Washington University in St.
Louis School of Medicine

5. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
• In 1993 Barnes and Jewish Hospitals
joined with Christian Health Services to
form the BJC Health System
• Exclusive partnership with Washington
University Physicians
• One of the largest not-for-profit
integrated delivery networks in the
United States, and the largest in the
State of Missouri
• 15 hospitals (urban, regional,
rural)
• Primary care network
• Specialty network
• Provider-of-choice for HSA/HRA
• > 5.4M covered lives
• > 4.8 billion (USD) in revenue
(2016)
• BJC HealthCare hospitals ranks on the
U.S. News & World Report Honor Roll
of America's top Hospitals and Best
Children's Hospitals
BJC Healthcare

6. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Creating a Home for Informatics at Washington
University: The Institute for Informatics (I2)
ü Translational Bioinformatics:
Leveraging our basic science
capabilities to generate an actionable
precision medicine knowledge-base in
high priority disease areas
ü Learning Healthcare Systems:
Connecting actionable knowledge to
high throughput and fidelity
phenotypes derived from an
exceptionally diverse population and
healthcare delivery network
ü Population Health Informatics: Scaling
precision medicine to support the
health and wellness of at-risk or
underserved populations through
data-driven intervention strategies.
Translating Data Into Knowledge

7. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
The institute for informatics will help focus the
informatics landscape at the School of Medicine as
we seek ways to transform research, education
and patient care, especially in support of precision
medicine and efforts to improve the quality of
health care and public health initiatives locally,
nationally and worldwide.
Source: David H. Perlmutter MD, Executive Vice Chancellor for Medical Affairs
and Dean of the Washington University School of Medicine in St. Louis

8. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
I2 Pillars: “Putting the Pieces Together”
Innovation Education Support
Accelerating Discovery and
Translation
Creating Learning Healthcare
Systems
Scaling to Population Health
Evidence
Generation
Healthcare
Delivery
“At Scale”
In-Career Learners
Practice (Certificate, MS)
K-12 & UG “Pipeline”
Investigators (PhD)
Competency Based Curriculum
Advanced Analytics
Research Data Mgmt
Bioinformatics Pipelines
Secondary use and
Instrumentation of EHR
Shared Infrastructure & Project
Design/Mgmt

9. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Philip Payne, PhD, FACMI
DIRECTOR
• Knowledge-based approaches to the discovery and analysis of bio-molecular and clinical phenotypes and the
ensuing identification of precision diagnostic and therapeutic strategies in cancer
• Interventional approaches to the use of electronic health records in order to address modifiable risk factors
for disease and enable patient-centered decision making
• The study of human factors and workflow issues surrounding the optimal use of healthcare information
technology
Albert M. Lai, PhD
CHIEF RESEARCH INFORMATION
OFFICER
• Clinical research informatics
• Clinical informatics
• Consumer health informatics
• Telemedicine
• Usability
• Natural language processing
• Mobile health
Po-Yin Yen, RN, PhD
ASSISTANT PROFESSOR, CLINICAL
INFORMATICS
• Usability
• Technology acceptance
• Human computer interaction
• Literature mining
• Data visualization
• Workflow analysis
• Time motion study
Randi Foraker, MA,PhD, FAHA
ASSOCIATE PROFESSOR, DEPARTMENT
OF MEDICINE, DIVISION OF GENERAL
MEDICAL SCIENCES
• Approaches for the integration of socioeconomic and
patient-reported outcome data with electronic health
record data
• Interventional approaches to the use of electronic
• health records in order to address
modifiable risk factors for disease and
enable patient-centered decision making
• Study design methodology and data
analysis
S. Joshua Swamidass, MD, PhD
ASSISTANT PROFESSOR OF
PATHOLOGY & IMMUNOLOGY
LABORATORY & GENOMIC MEDICINE
• Metabolism
• Machine learning
• Bioinformatics
• Biostatistics
• Chemical informatics
• Drug and target discovery
• Drug design
Tiffani J. Bright, PhD
DIRECTOR, INFORMATICS
DEVELOPMENT
• clinical decision support (CDS)
• knowledge representation
• user needs assessment
• mobile health technology (mHealth)
• patient-centered outcomes research
(PCOR),
• and usability evaluation
Leaders in Informatics Science and Practice

10. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Translating Data Into Action:
Positioning Informatics as an Interventional Discipline
Payne PR, Lussier Y, Foraker RE, Embi PJ. Rethinking the role and impact of health information technology: informatics as an
interventional discipline. BMC medical informatics and decision making. 2016 Mar 29;16(1):1.

11. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Research With Impact: From Molecules to Populations
Viewpoint
Enabling Open Science for Health Research: Collaborative
Informatics Environment for Learning on Health Outcomes (CIELO)
Philip Payne1
, PhD; Omkar Lele2
, MS, MBA; Beth Johnson3
, MPH; Erin Holve4
, MPH, MPP, PhD
1
Institute for Informatics, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
2
Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States
3
AcademyHealth, Washington, DC, United States
4
Department of Health Care Finance, Government of the District of Columbia, Washington, DC, United States
Corresponding Author:
Philip Payne, PhD
Institute for Informatics
School of Medicine
Washington University in St. Louis
660 South Euclid Avenue
MS 8102-13-610
St. Louis, MO, 63110
United States
Phone: 1 314 747 6119
Fax: 1 314 747 6119
Email: prpayne@wustl.edu
Abstract
Background: There is an emergent and intensive dialogue in the United States with regard to the accessibility, reproducibility,
and rigor of health research. This discussion is also closely aligned with the need to identify sustainable ways to expand the
national research enterprise and to generate actionable results that can be applied to improve the nation’s health. The principles
and practices of Open Science offer a promising path to address both goals by facilitating (1) increased transparency of data and
methods, which promotes research reproducibility and rigor; and (2) cumulative efficiencies wherein research tools and the output
of research are combined to accelerate the delivery of new knowledge in proximal domains, thereby resulting in greater productivity
and a reduction in redundant research investments.
Objectives: AcademyHealth’s Electronic Data Methods (EDM) Forum implemented a proof-of-concept open science platform
for health research called the Collaborative Informatics Environment for Learning on Health Outcomes (CIELO).
Methods: The EDM Forum conducted a user-centered design process to elucidate important and high-level requirements for
creating and sustaining an open science paradigm.
Results: By implementing CIELO and engaging a variety of potential users in its public beta testing, the EDM Forum has been
able to elucidate a broad range of stakeholder needs and requirements related to the use of an open science platform focused on
health research in a variety of “real world” settings.
Conclusions: Our initial design and development experience over the course of the CIELO project has provided the basis for
a vigorous dialogue between stakeholder community members regarding the capabilities that will add the greatest value to an
open science platform for the health research community. A number of important questions around user incentives, sustainability,
and scalability will require further community dialogue and agreement.
(J Med Internet Res 2017;19(7):e276) doi:10.2196/jmir.6937
KEYWORDS
healthcare research; information dissemination; open access to information; social networking; reproducibility of results
J Med Internet Res 2017 | vol. 19 | iss. 7 | e276 | p.1http://www.jmir.org/2017/7/e276/
(page number not for citation purposes)
Payne et alJOURNAL OF MEDICAL INTERNET RESEARCH
XSL•FO
RenderX
Active Use of Electronic Health Records
(EHRs) and Personal Health Records
(PHRs) for Epidemiologic Research: Sample
Representativeness and Nonresponse Bias in a
Study of Women During Pregnancy
Julie K Bower, PhD, MPH;i
Claire E. Bollinger;ii
Randi E. Foraker, PhD;i
Darryl B. Hood, PhD;ii
Abigail B. Shoben, PhD;iii
Albert M. Lai, PhDiv
i
Division of Epidemiology, The Ohio State University College of Public Health, ii
Division of Environmental Health Sciences, The Ohio University
College of Public Health, iii
Division of Biostatistics, The Ohio State University College of Public Health, iv
Institute for Informatics, Washington
University School of Medicine
Introduction: With the growing use of electronic medical records, electronic health records (EHRs), and
personal health records (PHRs) for health care delivery, new opportunities have arisen for population
health researchers. Our objective was to characterize PHR users and examine sample representativeness
and nonresponse bias in a study of pregnant women recruited via the PHR.
Design: Demographic characteristics were examined for PHR users and nonusers. Enrolled study
participants (responders, n=187) were then compared with nonresponders and a representative sample
of the target population.
Results: PHR patient portal users (34 percent of eligible persons) were older and more likely to be
White, have private health insurance, and develop gestational diabetes than nonusers. Of eligible
persons (all PHR users), 11 percent (187/1,713) completed a self-administered PHR based questionnaire.
Participants in the research study were more likely to be non-Hispanic White (90 percent versus 79
percent) and married (85 percent versus 77 percent), and were less likely to be Non-Hispanic Black (3
percent versus 12 percent) or Hispanic (3 percent versus 6 percent). Responders and nonresponders
were similar regarding age distribution, employment status, and health insurance status. Demographic
characteristics were similar between responders and nonresponders.
Discussion: Demographic characteristics of the study population differed from the general population,
cost-effectiveness.
ABSTRACT
Generating Evidence & Methods
to improve patient outcomes
eGEMs
1
Bower et al.: PHR Use for Epidemiologic Research
Published by EDM Forum Community, 2017

12. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Partnering Around the Globe: MDClone and I2
• Establishing a new paradigm for internal
and external data sharing and analytics
capabilities at one of the largest
research-intensive academic health
centers in the United States
• ”Democratizing” data access in order to
speed insight and discovery while
reducing risks to patient privacy and
confidentiality
• Three pilot use cases:
1) Integrated analysis of multi-modal
ICU data
2) Prediction of patient trajectories
during transitions in care
3) Generation of population health
dashboards

13. Creating a Culture of“Data Entrepreneurs” to Achieve a Vision of Precise and
Knowledge-Driven Healthcare and Wellness Promotion:
Harnessing Research, Translating into Practice, Scaling to Populations

14. I N S T I T U T E F O R I N F O R M A T I C S | W A S H I N G T O N U N I V E R S I T Y S C H O O L O F M E D I C I N E
Philip R.O. Payne, PhD, FACMI
Informatics.wustl.edu
prpayne@wustl.edu
@prpayne5
www.slideshare.net/prpayne5
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