Abstract
AI for Social Good: Leveraging Digital Therapeutics for Health Literacy using an Augmented Intelligence-driven Systems Perspective
Health literacy is a widely recognized challenge worldwide, with many adults lacking the requisite skills to engage successfully in the management of their health and healthcare. Affecting both individual and societal health outcomes, limited health literacy particularly exacerbates the increasing physical and psychological burden for patients with multiple health conditions as well as pediatric, elderly and disadvantaged populations. Recent developments in digital therapeutic solutions offer an opportunity to apply systems thinking and perspectives combined with artificial intelligence, machine learning and natural language processing methods to synthesize the myriad components of a multi-pronged approach to improving societal health literacy at scale. This talk will highlight some of these developments with a focus on digital platforms and algorithmic artifacts in the healthcare delivery setting, recognizing the challenges of misinformation and disinformation in identifying and disseminating authoritative and accurate content for educating and empowering patients and the public.
Bio
Rema Padman is Trustees Professor of Management Science and Healthcare Informatics in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University and Adjunct Professor of Biomedical Informatics at the University of Pittsburgh School of Medicine. She directs Healthcare Informatics research at iLab and Healthcare Operations and Analytics at the Center for Health Analytics at the Heinz College. Her research investigates predictive and prescriptive analytics for data-driven decision support in the context of clinical and consumer-facing IT interventions in healthcare delivery and management. More recently, she has been developing and evaluating technology-enabled health literacy solutions that leverage AI, machine learning and gamification. She is an elected Fellow of the American Medical Informatics Association.