Making Predictive Risk Assessment ‘Dynamic’: The Underlying Churn Effect
This chapter applies dynamic impact assessment (as described in the introduction to Part III) to ‘risk stratification’. People at high risk of being admitted to hospital were to be identified to receive a case management approach based on interrogating a ‘patient at risk of readmission’ database (a ‘risk stratification’ tool). The project arose as an attempt to explain disappointing early results of the case-management service.
- Goodwin, J. (2006). Long-term conditions: How to manage them? Midlife and Beyond, Geriatric Medicine.Google Scholar
- King’s Fund, Health Dialog UK and New York University (2006). Combined predictive model final report. King’s Fund London.Google Scholar
- Lewis, G., Curry, N., & Bardsley, M. (2011). Choosing a predictive risk model. Nuffield Trust London.Google Scholar
- NHS England. (2013). Information governance and risk stratification: Advice and options for CCGs and GPs. NHS England, Leeds.Google Scholar