مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| لِين در مراقبتهای بهداشتی× | مدل پیشبینی بستری مجدد در بیمارستان× | |
|---|---|---|
| حوزه | مدیریت خدمات سلامت | مدیریت خدمات سلامت |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1988 | 1998 |
| پدیدآور≠ | Taiichi Ohno, Toyota Production System | Healthcare data analytics and outcomes research |
| نوع≠ | Continuous improvement methodology | Logistic regression and machine learning methodology |
| منبع بنیادین≠ | 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 ↗ |
| نامهای دیگر | Lean Healthcare Management, Healthcare Lean | Readmission Risk Prediction, Hospital Readmission Forecasting |
| مرتبط | 5 | 5 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
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