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