Sammenlign metoder

	Model til forudsigelse af genindlæggelse på hospital	Lean Healthcare
Fagområde	Sundhedsledelse	Sundhedsledelse
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1998	1988
Ophavsperson	Healthcare data analytics and outcomes research	Taiichi Ohno, Toyota Production System
Type	Logistic regression and machine learning methodology	Continuous improvement methodology
Oprindelig kilde	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.
Aliasser	Readmission Risk Prediction, Hospital Readmission Forecasting	Lean Healthcare Management, Healthcare Lean
Relaterede	5	5
Resumé	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.