Devin M. Mann, MD, MS

Associate Professor of Medicine

devin mannAssociate Chief Medical Information Officer for Innovation and Population Health

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NYU School of Medicine- M.D. Degree
Clinical Epidemiology and Health Services Research, Weill Cornell Medical College-M.S. Degree

General Field of Work:

Cardiovascular and Diabetes Prevention


Section of Preventive Medicine and Epidemiology, Boston University School of Medicine
Section of General Internal Medicine, Boston University Medical Center
Division of General Internal Medicine, Mount Sinai School of Medicine

Contact information:

Office/Lab: 801 Massachusetts Avenue, Suite 470, Boston, MA 02118


Diabetes prevention, Informatics, Epidemiology, Behavior adherence, Informatics, Clinical decision support, mHealth, Implementation Science, Behavior Change, Usability

Summary of academic interest:

I lead a hybrid program of research and operational innovation focused on enhancing health care delivery using novel technologies.  As Director of the Health Technology Change Lab at Boston University Medical Center, my research combines the disciplines of informatics, behavioral medicine, human-computer interactions, mHealth and primary care in service of a learning health system and the delivery of effective healthcare.  My work has been supported by the NIH, AHRQ, PCORI and technology consortiums.  Current projects focus on embedding acute respiratory infection decision support into diverse clinical workflows, interfacing behavior change data from external systems into the EMR and experimenting with mHealth platforms and devices for promoting blood pressure control. I also serve on the influential Health Information Technology Policy Committee (HIT-PC), a presidential advisory committee maintained by the Office of the National Coordinator to advise federal health information technology policy initiatives such as the Meaningful Use program.

Recent Publications:

* Denotes Senior Author paper

  1. *Ramachandran A, Winter M, Mann DM. “Association of Visit-to-Visit Variability of Hemoglobin A1c and Medication Adherence”. J Manag Care Spec Pharm. 2015 Mar; 21(3):229-37.
  2. Richardson S, Khan S, McCullagh L, Kline M, Mann D, McGinn T.  “Healthcare Provider Perceptions of Clinical Prediction Rules”. JAMA Internal Med. (in press).
  3. McCullagh L, Sofianou A, Mann DM, McGinn TG.  “User Centered Clinical Decision Support Tools: Adoption across Clinician Training Level”. Appl Clin Inform. 2014 Dec 17;5(4):1015-25.
  4. McCullagh L, Mann D, Rosen L, Kannry J, McGinn T.  “Longitudinal Adoption Rates of Complex Decision Support Tools in Primary Care”. Evid Based Med. 2014 Sep 19 (epub). PMID: 25238769
  5. Mann DM, Quintiliani LM, Reddy S, Kitos NR, Weng M.  “DASH Mobile: lessons learned from a case study on the development of a mHealth behavior change system” JMIR mHealth uHealh. 2014 Oct 23;2(4):e41
  6. Mann DM, Knaus M, McCullagh L, Sofianou A, McGinn T, Kannry J. “Measures of User experience in a Streptococcal pharyngitis and Pneumonia Clinical Decision Support Tools”.  Appl Clin Inform. 2014 Sep 17;5(3):824-35.
  7. Zipkin AD, Umscheid CA, Keating NL, Allen E, Beyth R, Kaatz S, Korenstine D, Mann D, Sussman J, Schardt C, Aung K, Nagi A, Sloane R, Feldstein DA. “Evidence Based Risk Communication: A Systematic Review.” Ann Intern Med 2014;161:270-280. PMID 25133362.
  8. *Chrimes D, Kitos N, Kushniruk A, Mann, DM.  “Usability testing of ADAPT (Avoiding Diabetes Thru Action Plan) decision support for integrating care-based counseling of pre-diabetes in an electronic health record.” Int J Med Inform. 2014;83:636-647. PMID 24981988
  9. *Kolb JM, Kitos NR, Ramachandran A, Lin JJ, Mann DM.  “What do primary care prediabetes patients need?  A baseline assessment of patients engaging in a technology-enhanced lifestyle intervention.”  J Bioinform Diab. 2014 Feb 2;1(1):4.
  10. *McGinn TG, Kannry J, McCullagh L, Knaus M, Sofianou A, Wisnivesky J, Mann DM. “Efficacy of a Clinical Decision Support System in  Primary Care Practices. A Randomized Trial.” JAMA Internal Med. 2013 Sep 23;173(17):1584-91. PMID: 23896675
  11. *Pagoto S, Schneider K, Jojic M, DeBiasse S, Mann D.  “How Evidence-Based Are Weight Loss Mobile Apps?”  Am J Prev Med. 2014 Jul;47(1):e2.. PMID: 24139770