Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90816
Título: | OpenEHR modelling applied to Complementary Diagnostics Requests |
Autor(es): | Oliveira, Daniela Sofia Rijo Santos, Ana Braga, Diana Silva, Inês Sousa, Regina Abelha, António Machado, José Manuel |
Palavras-chave: | Archetypes Business Intelligence Complementary Diagnostic Request Data Warehouse Interoperability OpenEHR Templates |
Data: | 2022 |
Editora: | Elsevier 1 |
Revista: | Procedia Computer Science |
Citação: | Oliveira, D., Santos, A., Braga, D., Silva, I., Sousa, R., Abelha, A., & Machado, J. (2022). OpenEHR modelling applied to Complementary Diagnostics Requests. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2022.10.148 |
Resumo(s): | Complementary Diagnostic Requests (CDRs) are required for disease identification, monitoring, and prognosis. Diagnostic tests misuse, on the other hand, can lead to negative health outcomes as well as additional costs. Inappropriate diagnostic test requests are primarily the result of a lack of interoperability between Healthcare Information Systems (HIS). On one hand, clinicians can be mislead into which test is the best option for each clinical case, on the other hand missing previous results, leads to duplication or unnecessary tests. HIS is increasingly relying on standards based on dual architecture to promote interoperability as well as the structuring and consistency of clinical and demographic data. The OpenEHR standard's duo-based architecture allows for concise modelling of archetypes and templates for a given clinical case, which was used in this study. As a result, the purpose of this research was to build an openEHR template for the CDR registration as well as the architecture of a Data Warehouse (DW) system capable of storing all of the information needed for the diagnostic test request process. Afterwards, Business Intelligence (BI) indicators was developed in order to answers the needs for test registration and execution. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90816 |
DOI: | 10.1016/j.procs.2022.10.148 |
ISSN: | 1877-0509 |
Versão da editora: | https://www.sciencedirect.com/science/article/pii/S1877050922016052 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
1-s2.0-S1877050922016052-main.pdf | 565,45 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons