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Santé Lean×Modèle de prédiction de réadmission hospitalière×
DomaineGestion des soins de santéGestion des soins de santé
FamilleProcess / pipelineProcess / pipeline
Année d'origine19881998
Auteur d'origineTaiichi Ohno, Toyota Production SystemHealthcare data analytics and outcomes research
TypeContinuous improvement methodologyLogistic regression and machine learning methodology
Source fondatriceOhno, 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 ↗
AliasLean Healthcare Management, Healthcare LeanReadmission Risk Prediction, Hospital Readmission Forecasting
Apparentées55
RésuméLean 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.
ScholarGateJeu de données
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  2. 3 Sources
  3. PUBLISHED
  1. v1
  2. 3 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Lean Healthcare · Hospital Readmission Prediction Model. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare