Harvard’s Susan Murphy on Optimizing mHealth Interventions (TIPS 2017)

Advances in technology are creating almost limitless potential sources of data for understanding health and human behavior. This panel, Connecting with Technology: Why Psychiatry (Still) Needs Data Science, focuses on how we can take advantage of some of these data sources in the clinic and in the research laboratory using modern data analytic and machine learning approaches to generate insights and improve clinical care.

This talk was part of the 2017 Technology in Psychiatry Summit, sponsored by the McLean Institute for Technology in Psychiatry on November 6-7, 2017, at the JB Martin Conference Center, Harvard Medical School.

Susan A. Murphy, PhD, joined Harvard University in 2017. Her research focuses on improving sequential, individualized, decision making in health, in particular on clinical trial design and data analysis, to inform the development of just-in-time adaptive interventions in mobile health. She is a fellow of the Institute of Mathematical Statistics, a fellow of the College on Problems in Drug Dependence, a former editor of the Annals of Statistics, a member of the U.S. National Academy of Sciences and the U.S. National Academy of Medicine, and a 2013 MacArthur Fellow.

Please visit mclean.org/itp to learn more about the McLean Institute for Technology in Psychiatry.