Justin Starren, MD, PhD, FACMI, FAMIA
Dr. Starren is an exceptional professor, researcher and data scientist with more than 30 years of experience in biomedical informatics. His research focuses on the translation of computer and informatics research into real-world solutions. This has included work in human-computer interactions and delivering information technology to underserved populations.
Dr. Starren is widely known for his work on the Informatics for Diabetes Education and Telemedicine (IDEATel) Project. He served as co-principal investigator and chief technology architect for the Informatics for Diabetes Education and Telemedicine Project (IDEATel). He is also applauded for his work leading the EHR integration workgroup of the Electronic Medical Records and Genomics (eMERGE) project, which focused on the integration of genomic data into the EHR to support precision medicine. Dr. Starren led a nine-site consortium integrating patient-reported outcomes data into EHRs: EHR Access to Seamless Integration of PROMIS (EASI-PRO). His research involves exploring the ethical issues involved with technology-enabled research data collection during clinical encounters.
Degrees
- PhD: Medical Informatics, Columbia University, 1997
- MD-MA: Combined Program in Immunogenetics, Washington University School of Medicine, 1987
- BA: Biology (summa cum laude), Washington University, 1980
- University of California, Los Angeles, Internal Medicine, 1988
- Diagnostic Radiology, Columbia-Presbyterian Hospital, New York, 1988-1990
- Bioethics Clinical Scholars Program, Northwestern University Feinberg School of Medicine, 2021-2023
- Research Fellow in Medical Informatics, Department of Medical Informatics, Columbia University, New York, 1992–1996
- Distinguished Fellow, American College of Medical Informatics (ACMI), 2025
- Fellow, American Medical Informatics Association, 2020
- Best Poster: Clinical Research Informatics, AMIA Joint Summit, 2015
- Fellow, American College of Medical Informatics (ACMI), 2004
- Best Poster: Foundations, American Medical Informatics Association Fall Symposium, 2003
- Marquis’ Who’s Who in America, 2003
- Top 10 IT Innovators, Healthcare Informatics Magazine, 2002
- Martin Epstein Award, American Medical Informatics Association Fall Symposium, 1996
- Best Electronic Poster, Symposium on Computer Applications in Medical Care, 1995
- Hugh Wilson Award for Radiology Research, Washington University School of Medicine, 1987
- Pi Mu Epsilon, Washington University, 1979
