Сравнение методов

	Модель прогнозирования повторной госпитализации	Lean Healthcare
Область	Управление здравоохранением	Управление здравоохранением
Семейство	Process / pipeline	Process / pipeline
Год появления	1998	1988
Автор метода	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Тип	Logistic regression and machine learning methodology	Continuous improvement methodology
Основополагающий источник	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.
Другие названия	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Связанные	5	5
Сводка	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.