Usporedite metode

	Model predviđanja ponovnih hospitalizacija	Lean Healthcare
Područje	Upravljanje u zdravstvu	Upravljanje u zdravstvu
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1998	1988
Tvorac	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Vrsta	Logistic regression and machine learning methodology	Continuous improvement methodology
Temeljni izvor	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.
Drugi nazivi	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Srodne	5	5
Sažetak	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.