Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services

DiscussionThe need for various social service referrals can be predicted with considerable accuracy using a wide range of readily available clinical and community data that measure socioeconomic and public health conditions. While the use of SDH did not result in significant performance improvements, our approach represents a novel and important application of risk predictive modeling.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research