Σύγκριση μεθόδων

	Μοντέλο Πρόβλεψης Επανεισαγωγής στο Νοσοκομείο	Lean Healthcare
Πεδίο	Διοίκηση Υπηρεσιών Υγείας	Διοίκηση Υπηρεσιών Υγείας
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1998	1988
Δημιουργός	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Τύπος	Logistic regression and machine learning methodology	Continuous improvement methodology
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Συναφείς	5	5
Σύνοψη	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.