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| Audyt kliniczny× | Model przewidywania ponownych hospitalizacji× | |
|---|---|---|
| Dziedzina | Zarządzanie opieką zdrowotną | Zarządzanie opieką zdrowotną |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1989 | 1998 |
| Twórca≠ | UK National Health Service and healthcare quality movements | Healthcare data analytics and outcomes research |
| Typ≠ | Systematic quality review methodology | Logistic regression and machine learning methodology |
| Źródło pierwotne≠ | Institute of Medicine. (2001). Crossing the Quality Chasm: A New Health System for the 21st Century. National Academies Press. DOI ↗ | 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 ↗ |
| Inne nazwy | Medical Audit, Healthcare Quality Audit | Readmission Risk Prediction, Hospital Readmission Forecasting |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Clinical audit is a systematic, cyclical process that measures the quality of clinical care against evidence-based standards and benchmarks, identifies gaps, and implements improvements to bring practice into alignment with current best evidence. Originating in the UK NHS, clinical audit is now a fundamental quality assurance tool in healthcare organizations worldwide. | 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. |
| ScholarGateZbiór danych ↗ |
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