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医院再入院预测模型×精益医疗(Lean Healthcare)×
领域医疗卫生管理医疗卫生管理
方法族Process / pipelineProcess / pipeline
起源年份19981988
提出者Healthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
类型Logistic regression and machine learning methodologyContinuous improvement methodology
开创性文献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 ↗
别名Readmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
相关55
摘要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.
ScholarGate数据集
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  2. 3 来源
  3. PUBLISHED
  1. v1
  2. 3 来源
  3. PUBLISHED

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ScholarGate方法对比: Hospital Readmission Prediction Model · Lean Healthcare. 于 2026-06-20 检索自 https://scholargate.app/zh/compare