The National Library of Medicine Informatics Lecture Series will feature Dr. Peter Szolovits speaking on “How to Learn in ‘The Learning Health Care System’” on Nov. 5 from 2 to 3 p.m. in Natcher Bldg., balcony C.
The Institute of Medicine has argued for more than 20 years that we should view every patient interaction as an (uncontrolled) experiment and learn from its outcome. Szolovits has been a participant in numerous collaborative projects, trying to apply this method to data about a broad range of patients suffering from conditions such as arthritis, cardiovascular disease, diabetes, inflammatory bowel disease, autism and depression. In this lecture, he will review some of the methodological challenges he has encountered and the hard-won lessons he has learned.
Szolovits is professor of computer science and engineering in MIT’s department of electrical engineering and computer science, professor of health sciences and technology in the Harvard/MIT division of health sciences and technology and head of the clinical decision-making group within the MIT Computer Science and Artificial Intelligence Laboratory.
The talk will be broadcast live and archived at http://videocast.nih.gov/. Sign language interpreters will be provided. Individuals who need reasonable accommodation to participate should contact Ebony Hughes, (301) 451-8038, Ebony.Hughes@nih.gov or the Federal Relay (1-800-877-8339).