Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Клінічний аудит× | Модель прогнозування повторної госпіталізації× | |
|---|---|---|
| Галузь | Управління охороною здоров'я | Управління охороною здоров'я |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1989 | 1998 |
| Автор методу≠ | 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 |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | Medical Audit, Healthcare Quality Audit | Readmission Risk Prediction, Hospital Readmission Forecasting |
| Пов'язані | 5 | 5 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
|
|