Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Lean ve zdravotnictví× | Model predikce rehospitalizací× | |
|---|---|---|
| Obor | Management zdravotní péče | Management zdravotní péče |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1988 | 1998 |
| Tvůrce≠ | Taiichi Ohno, Toyota Production System | Healthcare data analytics and outcomes research |
| Typ≠ | Continuous improvement methodology | Logistic regression and machine learning methodology |
| Původní zdroj≠ | Ohno, T. (1988). Toyota Production System: Beyond Large-Scale Production. Productivity Press. link ↗ | 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. DOI ↗ |
| Další názvy | Lean Healthcare Management, Healthcare Lean | Readmission Risk Prediction, Hospital Readmission Forecasting |
| Příbuzné | 5 | 5 |
| Shrnutí≠ | 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. |
| ScholarGateDatová sada ↗ |
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