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	Analiza wpływu na budżet (BIA)	Modelowanie analityczno-decyzyjne w ekonomice zdrowia
Dziedzina	Ekonomika zdrowia	Ekonomika zdrowia
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2005	1975
Twórca	Sullivan, Mauskopf, and colleagues (ISPOR task force)	Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital)
Typ	Method	Method
Źródło pierwotne	Sullivan, S. D., Mauskopf, J. A., Augustovski, F., et al. (2014). Budget Impact Analysis—Principles of Good Practice: Report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force. Value in Health, 17(1), 5-14.	Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234.
Inne nazwy	BIA, financial impact assessment, budget consequence analysis	decision analysis, decision tree, decision model, health economic model
Pokrewne	5	5
Podsumowanie	Budget impact analysis estimates the financial consequences (net costs or savings) of implementing a new health technology in a specific healthcare system or population over a short time horizon (typically 1–5 years). Distinct from cost-effectiveness analysis (which compares health outcomes per dollar), BIA answers a budgetary question: 'If we adopt this new drug/device, how much will it cost our health system next year?' Widely used by hospital procurement committees, insurance formularies, and government health budgets to assess financial feasibility and reimbursement decision.	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.