Jämför metoder

	Modell för prediktion av sjukhusåterinläggning	Lean Healthcare
Ämnesområde	Hälso- och sjukvårdsledning	Hälso- och sjukvårdsledning
Familj	Process / pipeline	Process / pipeline
Ursprungsår	1998	1988
Upphovsperson	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Typ	Logistic regression and machine learning methodology	Continuous improvement methodology
Ursprungskälla	Jencks, S. F., Williams, M. V., & Coleman, E. A. (2009). Rehospitalizations among patients in the Medicare fee-for-service program. New England Journal of Medicine, 360(14), 1418–1428.	Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. Productivity Press.
Alias	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Närliggande	5	5
Sammanfattning	Hospital readmission prediction models use statistical and machine learning techniques to identify patients at high risk of returning to the hospital shortly after discharge. These models guide targeted discharge planning and follow-up to improve outcomes and reduce costs.	Lean is a management philosophy that emerged from the Toyota Production System, focused on maximizing patient value while minimizing waste. Applied to healthcare, Lean uses systematic methods to identify and eliminate non-value-added activities, reduce wait times, and improve the quality of patient care.