Salīdzināt metodes

	Klīniskā audita	Modelis slimnīcas atkārtotas uzņemšanas prognozēšanai
Nozare	Veselības aprūpes vadība	Veselības aprūpes vadība
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1989	1998
Autors	UK National Health Service and healthcare quality movements	Healthcare data analytics and outcomes research
Tips	Systematic quality review methodology	Logistic regression and machine learning methodology
Pirmavots	Institute of Medicine. (2001). Crossing the Quality Chasm: A New Health System for the 21st Century. National Academies Press.	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.
Citi nosaukumi	Medical Audit, Healthcare Quality Audit	Readmission Risk Prediction, Hospital Readmission Forecasting
Saistītās	5	5
Kopsavilkums	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.