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Modell zur Vorhersage von Krankenhauswiedereinweisungen×Lean Healthcare×
FachgebietGesundheitsmanagementGesundheitsmanagement
FamilieProcess / pipelineProcess / pipeline
Entstehungsjahr19981988
UrheberHealthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
TypLogistic regression and machine learning methodologyContinuous improvement methodology
Wegweisende QuelleJencks, 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 ↗
AliasnamenReadmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
Verwandt55
ZusammenfassungHospital 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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ScholarGateMethoden vergleichen: Hospital Readmission Prediction Model · Lean Healthcare. Abgerufen am 2026-06-20 von https://scholargate.app/de/compare