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	Model przewidywania ponownych hospitalizacji	Szczupłe zarządzanie w ochronie zdrowia
Dziedzina	Zarządzanie opieką zdrowotną	Zarządzanie opieką zdrowotną
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1998	1988
Twórca	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Typ	Logistic regression and machine learning methodology	Continuous improvement methodology
Źródło pierwotne	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.
Inne nazwy	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Pokrewne	5	5
Podsumowanie	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.