Порівняння методів

	Модель прогнозування повторної госпіталізації	Lean Healthcare
Галузь	Управління охороною здоров'я	Управління охороною здоров'я
Родина	Process / pipeline	Process / pipeline
Рік появи	1998	1988
Автор методу	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Тип	Logistic regression and machine learning methodology	Continuous improvement methodology
Основоположне джерело	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.
Інші назви	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Пов'язані	5	5
Підсумок	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.