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March 26, 2026Procedia Computer ScienceOpen Access

A Knowledge Representation Framework for Rare Diseases Governance within the Brazilian Healthcare System

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Authors

DYDiego Bettiol YamadaTKTatiana Takahasi KomotoVLVinícius Lima

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Overview

Proposes a knowledge representation framework to improve governance of rare diseases in Brazil, suggesting enhanced service efficiency.

Key Points

  • The aim is to create a structured framework for managing rare diseases within the Brazilian healthcare system.
  • Proposed knowledge representation techniques for governance of rare diseases.
  • Utilized a knowledge management model adapted for public administration.
  • Applied process modeling and mapping methods.
  • Implemented vocabulary standardization and semantic ontology design.
  • Used a reasoning tool for verifying ontology consistency.
  • Enhanced decision-making processes for rare diseases management.
  • Improved resource allocation in healthcare services.
  • Strengthened governance in complex healthcare environments.

Cite This Study

Yamada et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdcdfdc3bde44891a8dbhttps://doi.org/10.1016/j.procs.2026.03.119
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  5. 5Epidemiology of rare diseases in Brazil: protocol of the Brazilian Rare Diseases Network (RARAS-BRDN)2022 · 55 citations