Dean Halverson and Drs. Vest and Menachemi Release New Publication
The scholarly article, “Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services,” was recently published by Dean Paul Halverson, Drs. Nir Menachemi and Joshua Vest. With a growing variety of diverse data sources emerging to better inform health care delivery and health outcomes, they sought to evaluate the capacity for clinical, socioeconomic, and public health data sources to predict the need for various social service referrals among patients at a safety-net hospital. The study found that the 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, their approach represents a novel and important application of risk predictive modeling. Read the full article to learn more about the materials, methods, and results of this study.