Порівняння методів

	Модель ланцюга Маркова в економіці охорони здоров'я	Моделювання аналізу рішень у медичній економіці
Галузь	Економіка охорони здоров'я	Економіка охорони здоров'я
Родина	Process / pipeline	Process / pipeline
Рік появи	1983	1975
Автор методу	Beck & Pauker (medical decision analysis, Massachusetts General Hospital)	Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital)
Тип	Method	Method
Основоположне джерело	Beck, J. R., & Pauker, S. G. (1983). The Markov Process in Medical Prognosis. Medical Decision Making, 3(4), 419-458.	Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234.
Інші назви	Markov model, state transition model, cohort simulation	decision analysis, decision tree, decision model, health economic model
Пов'язані	5	5
Підсумок	A Markov model is a decision-analytic tool that simulates disease progression through defined health states over time, calculating cumulative costs and quality-adjusted life years (QALYs) to enable cost-effectiveness analysis. Developed by Beck and Pauker in 1983, Markov models are now the standard framework for projecting long-term outcomes of health interventions, especially chronic diseases where patients transition between clinical states (treatment response, disease progression, remission, death). Used by health technology assessment bodies and pharmaceutical companies to predict intervention value beyond trial duration.	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.