Prism is a predictive risk stratification model that uses data from GP practices and hospitals to identify patients at risk of emergency admission. It was piloted in 25 GP practices to evaluate its functionality, usability, usefulness, and accuracy. The evaluation found Prism could help identify at-risk patients, map services, and support workforce and service planning. Next steps include rolling Prism out nationally, further developing the tool based on pilot feedback, and including additional data sources like A&E data. Prism uses a split-file methodology and data flows to pseudonymously link and share individual-level data while protecting patient confidentiality.