Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Lean Healthcare× | Модель прогнозирования повторной госпитализации× | |
|---|---|---|
| Область | Управление здравоохранением | Управление здравоохранением |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1988 | 1998 |
| Автор метода≠ | Taiichi Ohno, Toyota Production System | Healthcare data analytics and outcomes research |
| Тип≠ | Continuous improvement methodology | Logistic regression and machine learning methodology |
| Основополагающий источник≠ | Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. Productivity Press. link ↗ | 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. DOI ↗ |
| Другие названия | Lean Healthcare Management, Healthcare Lean | Readmission Risk Prediction, Hospital Readmission Forecasting |
| Связанные | 5 | 5 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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