This research will assess the validity of patient-level computable social factor phenotypes used to predict a patient’s risk of increased healthcare utilization and costs.
This research assessed the use of an electronic social needs screening tool integrated into the workflow of an emergency department setting that facilitated referrals for those in need, and found that although only a small subset of patients expressing need received referrals, the strategy showed promise to monitor population health post-discharge.
The research team identified key information needs for clinicians providing and coordinating care for patients with complex medical, social, and economic needs, and developed and tested design principles for electronic health record systems to support social determinants of health data capture and clinical decision support.
