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再入院予測モデル×リーン・ヘルスケア×
分野医療経営学医療経営学
系統Process / pipelineProcess / pipeline
提唱年19981988
提唱者Healthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
種類Logistic regression and machine learning methodologyContinuous improvement methodology
原典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 ↗
別名Readmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
関連55
概要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.
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ScholarGate手法を比較: Hospital Readmission Prediction Model · Lean Healthcare. 2026-06-20に以下より取得 https://scholargate.app/ja/compare