Kenneth Mandl, MD, MPH
|Hospital Title||Director, Intelligent Health Laboratory, Boston Children’s Hospital Informatics Program at Harvard-MIT Health Sciences and Technology|
|Academic Title||Professor, Harvard Medical School|
300 Longwood Avenue
Boston MA 02115
Mandl pioneered consumer information technologies and also biosurveillance—the use of real time observational data to support surveillance of acute and chronic disease. He has translated methods from biosurveillance to pharmacovigilence and comparative effectiveness.
He co-directs a CDC Center of Excellence in Public Health Informatics in he focuses on consumer technologies, including the use of personally controlled health records and online social networks as a novel source of epidemiologic data. He designed the technology for a novel, self-scaling registry across 60 children’s hospitals to prospectively track 50% of all pediatric patients with rheumatologic conditions.
Under the HHS-funded Strategic Health IT Advanced Research Projects (SHARP) program—he co-leads a $15M project to develop an “app store” for health and public health (SMART Platforms), reimagining electronic health records as platforms that run third party apps in support of a nimble, learning healthcare system.
About Kenneth Mandl
Recognized for his teaching and research, he has received the Barger Award for Excellence in Mentoring at Harvard Medical School and the Presidential Early Career Award for Scientists and Engineers, the highest honor bestowed by the United States government to outstanding scientists and engineers.
He has been an advisor to two Directors of the CDC and now chairs the Board of Scientific Counselors of the NIH’s National Library of Medicine.
Dr. Mandl has published over 130 peer reviewed papers in the medical literature and has been elected to multiple honor societies including the American Society for Clinical Investigation, the Society for Pediatric Research, the American College of Medical Informatics and the American Pediatric Society. He is the Associate Director of Informatics for the Harvard Catalyst (the Harvard Clinical and Translational Science Center). He leads two postdoctoral training programs in clinical and informatics research and directs the Population Health Track of the new Masters Degree in Biomedical Informatics at HMS. Mandl is a faculty member in the HMS Center for Biomedical Informatics and in Harvard-MIT Sciences and Technology.
Recent Selected Publications
- Weitzman ER, Kelemen S, Quinn M, Eggleston EM, Mandl KD. Participatory Surveillance of Hypoglycemia and Harms in an Online Social Network. JAMA Internal Medicine Feb 2013.
- Natter MD, Quan J, Ortiz DM, Bousvaros A, Ilowite N, Inman C, Marsolo K, McMurry AJ, Sandborg CI, Schanberg LE, Wallace CA, Warren RW, Weber GM, Mandl KD. An i2b2-based, Generalizable, Open Source, Self-scaling Chronic Disease Registry. J Am Med Inform Assoc 2013;20(1):172-9.
- Mandl KD and Kohane IS. Escaping the EHR Trap — The Future of Health IT. N Engl J Med 2012; 366(24): 2240-2242
- Mandl KD, Mandel JC, Murphy SN, Bernstam EV, Ramoni RB, Kreda DA, McCoy JM, Adida BA, Kohane IS. The SMART Platform: Early experience enabling substitutable applications for electronic health records. J Am Med Inform Assoc. Jul-Aug 2012;19(4):597-603
- Dunn AG, Day RO, Mandl KD, Coiera E. Learning from hackers: open-source clinical trials. Sci Transl Med. 2012;4(132):132cm5.
- Fine AM, Nizet V, Mandl KD. Improved Diagnostic Accuracy of Group A Streptococcal Pharyngitis with use of real-time biosurveillance. Annals of Internal Medicine. 2011; 155: 345-352
- Bourgeois FT, Murthy S, Mandl KD. Outcome reporting among drug trials registered in ClinicalTrials.gov. Ann Intern Med. Aug 3 2010;153(3):158-166.
- Mandl KD, Kohane IS. No small change for the health information economy. N Engl J Med. March 26, 2009;360(13):1278-1281.
- Brownstein JS, Freifeld CC, Reis BY, Mandl KD. Surveillance Sans Frontiers: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project.PLoS Medicine. July 01, 2008 2008;5(7):e151.
- Wieland SC, Brownstein JS, Berger B, Mandl KD. Density-equalizing Euclidean minimum spanning trees for the detection of all disease cluster shapes. PNAS. May 22, 2007 2007:0609457104.