Bandingkan metode

	Model Prediksi Readmisi Rumah Sakit	Kesehatan Ramping (Lean Healthcare)
Bidang	Manajemen Pelayanan Kesehatan	Manajemen Pelayanan Kesehatan
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1998	1988
Pencetus	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Tipe	Logistic regression and machine learning methodology	Continuous improvement methodology
Sumber perintis	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.	Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. Productivity Press.
Alias	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Terkait	5	5
Ringkasan	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.