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Model voor het voorspellen van ziekenhuisheropnames×Lean in de Gezondheidszorg×
VakgebiedZorgmanagementZorgmanagement
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan19981988
GrondleggerHealthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
TypeLogistic regression and machine learning methodologyContinuous improvement methodology
Oorspronkelijke bronJencks, 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 ↗
AliassenReadmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
Verwant55
SamenvattingHospital 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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  1. v1
  2. 3 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: Hospital Readmission Prediction Model · Lean Healthcare. Geraadpleegd op 2026-06-20 via https://scholargate.app/nl/compare