Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Клинический аудит× | Модель прогнозирования повторной госпитализации× | |
|---|---|---|
| Область | Управление здравоохранением | Управление здравоохранением |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1989 | 1998 |
| Автор метода≠ | UK National Health Service and healthcare quality movements | Healthcare data analytics and outcomes research |
| Тип≠ | Systematic quality review methodology | Logistic regression and machine learning methodology |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | Medical Audit, Healthcare Quality Audit | Readmission Risk Prediction, Hospital Readmission Forecasting |
| Связанные | 5 | 5 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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