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अस्पताल में पुनः भर्ती भविष्यवाणी मॉडल×Lean Healthcare×
क्षेत्रस्वास्थ्य सेवा प्रबंधनस्वास्थ्य सेवा प्रबंधन
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष19981988
प्रवर्तकHealthcare data analytics and outcomes researchTaiichi Ohno, Toyota Production System
प्रकारLogistic regression and machine learning methodologyContinuous improvement methodology
मौलिक स्रोतJencks, 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 ↗
उपनामReadmission Risk Prediction, Hospital Readmission ForecastingLean Healthcare Management, Healthcare Lean
संबंधित55
सारांशHospital 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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  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Hospital Readmission Prediction Model · Lean Healthcare. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare