Stan Finkelstein

Dr. Stan Finkelstein is a senior research scientist at MIT’s Institute for Data, Systems, and Society. He also serves as an associate professor of medicine at Harvard Medical School and a faculty member of the Division of Clinical Informatics at Beth Israel Deaconess Medical Center. His current research interests include analyses relating to the economics of illness and pharmaceutical treatment and to low probability, high consequence public health events. His publications include studies of cost of illness and cost-effectiveness of treatment. He is co-author of several recent articles that address the link between treatment of illness and productivity at work, and the role of advancing science and technology in changing patterns of medical treatment.

Dr. Finkelstein has worked in the field of medical technology assessment and transfer at MIT since 1975. He conducts research and teaches classes in the development and evaluation of medical practice and technology, and in health economics and policy, both at MIT and Harvard Medical School. He earned a BS and MS in chemical engineering from MIT, and an MD from Harvard Medical School.

Selected Publications

• Majumder, M. S., Brownstein, J. S., Finkelstein, S. N., Larson, R. C, Bourouiba, L. (2017). Nosocomial amplification of MERS-coronavirus in South Korea, 2015. Trans R Soc Trop Med Hyg 2017; 111: 261–269.
• Pereira, R. D., Salgado, C. M., Dejam, A., Reti, S. R., Vieira, S. M., Sousa, J. M., Celi L. A., Finkelstein ,S. N. (2015). Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology. Scientific World Journal.
• Fialho, A. S., Celi, L. A., Cismondi, F., Vieira, S. M., Reti, S. R., Sousa, J. M. C., Finkelstein, S. N. (2013) Disease-based Modeling to Predict Fluid Response in Intensive Care Units. Methods Inf Med. 2013 ; 52(6): 494–502.

• May 10, 2017: MIT News, Home strep test could save time and money.
• June 10, 2015: MIT News, Improving prevention of and responses to flu outbreaks.
• October 21, 2013: MIT News, MIT researchers seek to create tool to identify sources of foodborne illness outbreaks.