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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
[Biomedical knowledge and health policies: Hemolytic Uremic Syndrome and Fibromyalgia]
Marcela Beatriz Belardo1, Kenneth Rochel de Camargo Júnior1
1Departamento de Planejamento e Administração em Saúde, Instituto de Medicina Social, Centro Biomédico, Universidade do Estado do Rio de Janeiro. R. S. Fco. Xavier 524/7º/Bl. D, Maracanã. 20559-900 Rio de Janeiro RJ Brasil. marcelabelardo@yahoo.com.ar.
Abstract:
The article deals with the construction of knowledge about diseases. The general objective is to analyze the process of constructing scientific knowledge of two diseases in comparative perspective: Hemolytic Uremic Syndrome and Fibromyalgia. The work reflects on the construction of biomedical knowledge and health policies, specifically how scientific knowledge impacts on the design of policies. Our research strategy was based on the analysis of scientific literature, health programs and bills of Argentina. The analysis was based on the axial model of diagnostic categories (semiological, morphological, explanatory and epidemiological) developed by Camargo Jr in order to detect how the distinctive features of biomedical sphere is translated into the political sphere. The investigation showed that the hierarchy given to each axis when a disease is defined at the moment of designing health policies is curcial. It also revealed that when biomedicine can not define the disease, based on their clinical and epidemiological reasoning, the roles are reversed. Then it is politics that recognizes the disease and gives the legitimacy that patients need.
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