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نموذج التنبؤ بإعادة إدخال المرضى إلى المستشفى×الرعاية الصحية المرنة (Lean Healthcare)×
المجالإدارة الرعاية الصحيةإدارة الرعاية الصحية
العائلةProcess / pipelineProcess / pipeline
سنة النشأة19981988
صاحب الطريقةHealthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
النوعLogistic regression and machine learning methodologyContinuous improvement methodology
المصدر التأسيسيJencks, 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 ↗
الأسماء البديلةReadmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
ذات صلة55
الملخصHospital 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.
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ScholarGateقارن الطرق: Hospital Readmission Prediction Model · Lean Healthcare. استُرجع بتاريخ 2026-06-20 من https://scholargate.app/ar/compare