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| 린 헬스케어× | 병원 재입원 예측 모델× | |
|---|---|---|
| 분야 | 의료경영 | 의료경영 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1988 | 1998 |
| 창시자≠ | Taiichi Ohno, Toyota Production System | Healthcare data analytics and outcomes research |
| 유형≠ | Continuous improvement methodology | Logistic regression and machine learning methodology |
| 원전≠ | 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 ↗ |
| 별칭 | Lean Healthcare Management, Healthcare Lean | Readmission Risk Prediction, Hospital Readmission Forecasting |
| 관련 | 5 | 5 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
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