Sessions

Getting Patient Outcomes Predictions Right: Using Behavioral and Social Data

According to the Kaiser Family Foundation, behavioral factors have a 40 percent impact on outcomes like premature death, genetics 30 percent, social and environmental factors 20 percent, and finally healthcare 10 percent. As a healthcare industry we are finally coming to terms with the role that behavioral factors play in health. However, it is not clear how to effectively use that data to improve care and predict patient outcomes.

In this session, Imran Qureshi, Chief Data Science Officer at Clarify Health, will discuss the experience in combining clinical, behavioral, social, and economic data for millions of patients to more accurately predict patient outcomes and identify the right care by the right provider.

Imran will also discuss the step-by-step process to combine clinical data with behavioral, social, and economic data, how to identify important features in that data, and the unique challenges in creating models based on this data to predict outcomes.