Representação semântica de dados clínicos na área de saúde: interoperabilidade com dados FAIR e o padrão FHIR

Elesbão Oliveira de Matos; Cláudio José Silva Ribeiro

doi:10.62758/re.v3i2.218

Authors

Elesbão Oliveira de Matos Universidade Federal do Estado Rio de Janeiro (UNIRIO) https://orcid.org/0000-0001-6003-0701
Cláudio José Silva Ribeiro Universidade Federal do Estado Rio de Janeiro (UNIRIO) https://orcid.org/0000-0002-9571-1707

DOI:

https://doi.org/10.62758/re.v3i2.218

Keywords:

Fast Healthcare Interoperability Resources, Interoperability, Semantic Representation, Clinical Data, FAIR Principles

Abstract

It discusses how the context of the COVID-19 pandemic brought new challenges to the collection, processing and sharing of health data and the need for these data to be based on the Findable, Accessible, Interoperable, and Reusable principles. It aims to evaluate, among the different knowledge organization systems and vocabularies in the medical field, as well as the semantic representation schemes that treat clinical data originating from the Virus Outbreak Data Network Brasil project, as the components for representation of the Fast Healthcare Interoperability Resources standard can be used to incorporate improvements and align standards for use in the World Health Organization's COVID-19 semantic model. He cites the Virus Outbreak Data Network as an example of a project that collects and manages, through the World Health Organization's COVID-19 case registration form, data on COVID-19 in a manner aligned with Findable, Accessible, Interoperable, and Reusable principles. It talks about the World Health Organization's COVID-19 CRF Rapid Version semantic model used to standardize, in the semantic sense, the data collected. It discusses semantic interoperability and compatibility between information contexts and the Fast Healthcare Interoperability Resources standard and details its modules. It concludes that the Fast Healthcare Interoperability Resources Standard has greater detailed properties when compared to the World Health Organization's COVID-19 semantic model, that it is a standard with a more mature interoperability characteristic when compared to the Semantic Model, and the incorporation of its characteristics is recommended.

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