TY - JOUR AU - Dorr, David A. AU - Ross, Rachel L. AU - Cohen, Deborah AU - Kansagara, Devan AU - Ramsey, Katrina AU - Sachdeva, Bhavaya AU - Weiner, Jonathan P. PY - 2021 DA - 2021/03/18 TI - Primary care practices’ ability to predict future risk of expenditures and hospitalization using risk stratification and segmentation JO - BMC Medical Informatics and Decision Making SP - 104 VL - 21 IS - 1 AB - Patients with complex health care needs may suffer adverse outcomes from fragmented and delayed care, reducing well-being and increasing health care costs. Health reform efforts, especially those in primary care, attempt to mitigate risk of adverse outcomes by better targeting resources to those most in need. However, predicting who is susceptible to adverse outcomes, such as unplanned hospitalizations, ED visits, or other potentially avoidable expenditures, can be difficult, and providing intensive levels of resources to all patients is neither wanted nor efficient. Our objective was to understand if primary care teams can predict patient risk better than standard risk scores. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-021-01455-4 DO - 10.1186/s12911-021-01455-4 ID - Dorr2021 ER -