Artificial Intelligence and Machine Learning

Leveraging AI to Unearth Social Determinants of Health Risks

Monday, March 14 at 2:55 PM - 3:35 PM CDT
Rosen Centre, Grand Ballroom C

This session is part of the Machine Learning and AI for Healthcare Forum and requires an additional fee and registration.

Unpredictable social risk factors can wreak havoc on providers and payers given the inability to determine the actuarial aspects related to delivery of and payment for care. This panel will study how sophisticated algorithms are being used to predict these risk factors to provide a more personalized and value driven care.  Also of great importance, these data analysis strategies can provide incentives to treat the sickest patients in a clinical AI setting. 

ID
MLAI13

Moderator

Julius Bogdan
Vice President, Analytics
HIMSS

Speakers

Este Geraghty
Chief Medical Officer
Esri
Michael Dulin
Professor and Director, Academy for Populaton Health Innovation
University of North Carolina, Charlotte
Tim Driscoll
Senior Director, Digital Health Technology Strategy
Boston Children's Hospital