The Center for Population Health Informatics (CPHI) is working across disciplines and harnessing the power of data and technology to better the lives of those in St. Louis and beyond. CPHI is actively engaged in developing and studying innovative uses for data and technology at the point of care and beyond to improve population health outcomes.

Research highlights

CPHI leads in population health informatics research and serves to provide access to and training in the use of computationally-derived (“synthetic”) and health services administrative data. We additionally provide services in data analysis and visualization to advance applied clinical and population health research, including:

  • Maintaining data repositories and managing data assets and data dictionaries
  • Training investigators, laboratory staff, and students on the ethical and secure use of data assets
  • Providing leadership on the analysis and visualization of clinical and population health data
  • Facilitating collaboration among interdisciplinary investigators
  • Advancing the use of data to inform researchers and the St. Louis community about health and healthcare
Leadership
Randi  Foraker, PhD, MA, FAHA, FAMIA, FACMI

Randi Foraker, PhD, MA, FAHA, FAMIA, FACMI

Director, Center for Population Health Informatics
Professor of Medicine, Division of General Medical Sciences
Professor of Public Health, Brown School

randi.foraker@wustl.edu

Faculty
Daphne Lew, PhD, MPH

Daphne Lew, PhD, MPH

Instructor of Biostatistics

daphne.lew@wustl.edu

Sunny  Lin, PhD, MS

Sunny Lin, PhD, MS

Assistant Professor of Medicine, Division of General Medical Sciences

linsc@wustl.edu

Beth Prusaczyk, PhD, MSW

Beth Prusaczyk, PhD, MSW

Assistant Professor of Medicine, Division of General Medical Sciences

beth.prusaczyk@wustl.edu

Staff
  • Joshua Landman, MS
    PhD Candidate, Division of Computational & Data Sciences
  • Abigail Lewis, BA
    PhD Candidate, Division of Computational & Data Sciences
  • Alicia Cicerelli
    Project Manager, CPHI, Institute for Informatics, Data Science and Biostatistics

Bringing the campus ‘synthetic data’ via MDClone

MDClone is a free, secure, self-service platform for building queries and downloading computationally-derived (“synthetic”) data from the research data core (RDC). Since the data do not contain protected health information (PHI), use of these data is not classified as human subjects research.

Request a service

Email i2help@wustl.edu for consultation or inquiries.

Facilities and other resources

Facilities and Resources: Informatics (pdf)

Contact

For more information on the Center for Population Health Informatics, please email Alicia Cicerelli at acicerelli@wustl.edu.