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	Modelowanie analityczno-decyzyjne w ekonomice zdrowia	Analiza kosztów i efektywności (CEA)
Dziedzina	Ekonomika zdrowia	Ekonomika zdrowia
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1975	1984
Twórca	Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital)	Drummond & Stoddart (Health Economics Research Group, McMaster University)
Typ	Method	Method
Źródło pierwotne	Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234.	Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-Effectiveness in Health and Medicine. New York: Oxford University Press.
Inne nazwy	decision analysis, decision tree, decision model, health economic model	CEA, ICER, Incremental Cost-Effectiveness Ratio
Pokrewne	5	5
Podsumowanie	Decision analytic modeling is a systematic framework for comparing health interventions by integrating evidence on probabilities, outcomes, costs, and patient preferences into a quantitative model. Developed by Pauker and Kassirer in 1975, decision analysis structures clinical uncertainty and economic trade-offs, enabling transparent comparison of treatment options and identification of optimal strategies. Used in health technology assessment, clinical practice guideline development, and resource allocation decisions.	Cost-effectiveness analysis compares the incremental cost per unit of health benefit gained by one intervention relative to a comparator (standard care or best alternative). Developed rigorously in the 1980s by Drummond, Stoddart, and colleagues, CEA is now the standard framework for technology appraisal globally. NICE, HAS, CADTH, and other health technology assessment bodies use CEA to decide which treatments warrant public funding and at what price.