CLASSIFICATORY BIAS OF ICD IN INDIGENOUS HEALTH INFORMATION  

VIÉS CLASSIFICATÓRIO DA CID NA SAÚDE INDÍGENA

Authors

Keywords:

health information systems, indigenous health, disease classification, decoloniality

Abstract

Indigenous health information systems in Brazil encode data using the International Classification of Diseases (ICD), which does not encompass the cosmological, territorial, spiritual, and collective dimensions that structure the health–illness–healing processes of Indigenous peoples. This study analyzes the limitations and classificatory biases of the ICD in representing Indigenous health, with a focus on the chapters concerning factors influencing health status and mental and behavioral disorders. The research is qualitative, bibliographic, and exploratory, combining a review of the fields of Information Science, Knowledge Organization, Indigenous Health, and Decolonial Studies, document analysis, and conceptual mapping between ICD categories and dimensions found in the literature. The results indicate a lack of adequate correspondence in certain categories, producing informational erasure and semantic losses that compromise the epidemiological visibility of Indigenous populations. It is concluded that overcoming these limitations requires a decolonial shift that recognizes the epistemic plurality of the peoples these systems are intended to represent.

Author Biographies

  • Carina Munhoz de Lima, Fluminense Federal University

    Ph.D. candidate in Information Science in the Graduate Program in Information Science at Fluminense Federal University (UFF). Holds a master’s degree in Information Science from the same program. She holds a bachelor’s degree in Library Science and Documentation from the Federal University of Fluminense. She works as a librarian at the Brazilian Journal of Cancerology (National Cancer Institute – INCA). She is a member of the research group Ontic and Ontological Studies in Information Contexts (EOOCI). 

  • Linair Maria Campos, Fluminense Federal University

    She holds a bachelor’s degree in Computer Science, a master’s degree in Computer Science from the Federal University of Rio de Janeiro (2004), and a Ph.D. in Information Science through the UFF/IBICT partnership. Postdoctoral fellow in Computer Science at the Federal University of Rio de Janeiro (2025). Associate professor in the Department of Information Science and the PPGCI at Fluminense Federal University. Leader of the EOOCI research group (Ontic and Ontological Studies in Information Contexts).

Published

2026-11-13

Conference Proceedings Volume

Section

GT 2 – Organização e Representação do Conhecimento

Categories