Sammenlign metoder

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