OpenEHR modelling applied to Complementary Diagnostics Requests

• Main Author: Oliveira, Daniela Sofia Rijo
• Publication Date: 2022
• Other Authors: Santos, Ana, Braga, Diana, Silva, Inês, Sousa, Regina, Abelha, António, Machado, José Manuel
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: https://hdl.handle.net/1822/90816
• topic: Archetypes; Business Intelligence; Complementary Diagnostic Request; Data Warehouse; Interoperability; OpenEHR; Templates; Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

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.