title: Long-term conditions. Predicting the future.
abstract: The predictive risk project aims to reduce hospital bed use associated with long-term conditions by targeting frequently admitted patients in the community. The project also uses an algorithm to identify patients at risk of future admissions, with evidence showing promising results to date. A different approach has been developed in Norfolk, where a coaching system aims to prevent admissions by encouraging at-risk patients to manage their own care.
authors.forename: Daloni
authors.initials: D
authors.lastname: Carlisle
mesh_terms: D000465:Algorithms; D003363:Cost Control; D017598:Efficiency, Organizational; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005544:Forecasting; D006801:Humans; D008134:Long-Term Care; D019982:Organizational Case Studies; D020379:Risk Adjustment / Q000379:methods*; D013222:State Medicine / Q000191:economics; D006113:United Kingdom