Peter Szolovits

Peter Szolovits


Peter Szolovits is Professor of Computer Science and Engineering and head of the Clinical Decision-Making Group within CSAIL. His research centers on the application of AI methods to problems of medical decision making and design of information systems for health care institutions and patients. He has worked on problems of diagnosis, therapy planning, execution and monitoring for various medical conditions, computational aspects of genetic counseling, controlled sharing of health information, and privacy and confidentiality issues in medical record systems.

Peter Szolovits' interests in AI include knowledge representation, qualitative reasoning, and probabilistic inference. His interests in medical computing include Web-based heterogeneous medical record systems, life-long personal health information systems, and design of cryptographic schemes for health identifiers. He teaches classes in artificial intelligence, programming languages, medical computing, medical desision making, knowledge-based systems and probabilistic inference.

Prof. Szolovits is on the editorial board of several journals, has served as program chairman and on the program committees of national conferences, and has been a founder of and consultant for several companies that apply AI to problems of commercial interest. Prof. Szolovits was elected to the Institute of Medicine of the National Academies and is a Fellow of the American Association for Artificial Intelligence, the American College of Medical Informatics and the American Institute for Medical and Biological Engineering.


  • P. Szolovits, Ed. Artificial Intelligence in Medicine. AAAS Selected Symposium Series. Boulder, Colorado, Westview Press. 1982.
  • P. Szolovits, J. Doyle, W. J. Long, I. Kohane and S. G. Pauker. Guardian Angel: Patient-Centered Health Information Systems. Technical Report TR-604. MIT Lab for Computer Science. May 1994.
  • I. S. Kohane, P. Greenspun, J. Fackler, C. Cimino and P. Szolovits. W3-EMRS: Access to Multi- Institutional Electronic Medical Records via World Wide Web. Spring Congress of the American Medical Informatics Association, Boston, MA. 1995.
  • Mandl, K. D., P. Szolovits, I. S. Kohane. Public standards and patients' control: how to keep electronic medical records accessible but private. British Medical Journal 322(7281): 283-287, 2000.
  • A. Riva, et al. The Personal Internetworked Notary and Guardian. Int. J. Medical Informatics 62:27-40, 2001.
  • Fraser, H. S., P. Biondich, et al. (2005). "Implementing electronic medical record systems in developing countries." Inform Prim Care 13(2): 83-95.
  • Sebastiani, P., K. D. Mandl, et al. (2006). "A Bayesian dynamic model for influenza surveillance." Stat Med 25(11): 1803-16; discussion 1817-25.
  • Mohtashemi, M., P. Szolovits, et al. (2006). "A susceptible-infected model of early detection of respiratory infection outbreaks on a background of influenza." J Theor Biol 241: 954-963.


  • American College of Medical Informatics: Morris F. Collen Award of Excellence (2013)
  • Harvard Medical School| Center for Biomedical Informatics: Innovation in Personally Controlled Health Record Infrastructure (2006)
  • Institute of Medicine of the National Academies: Member (2005)
  • American Institute for Medical and Biological Engineering: Fellow (2005)
  • NASA: Space Act Award (1995)
  • Association for the Advancement of Artificial Intelligence : Fellow (1992)
  • American College of Medical Informatics: Fellow (1984)