2022
Oliveira, D.; Santos, A.; Braga, D.; Silva, I.; Sousa, R.; Abelha, A.; Machado, J.
OpenEHR modelling applied to Complementary Diagnostics Requests Proceedings Article
Em: E., Shakshuki (Ed.): pp. 265-270, Elsevier B.V., 2022, ISSN: 18770509, (cited By 2; Conference of 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2022 / Affiliated Workshops ; Conference Date: 26 October 2022 Through 28 October 2022; Conference Code:148658).
Resumo | Links | BibTeX | Etiquetas: Additional costs; Archetype; Business-intelligence; Clinical data; Complementary diagnostic request; Demographic data; Diagnostic tests; Health outcomes; OpenEHR; Template, Architecture; Data warehouses; Diagnosis; Information analysis, Interoperability
@inproceedings{Oliveira2022265,
title = {OpenEHR modelling applied to Complementary Diagnostics Requests},
author = {D. Oliveira and A. Santos and D. Braga and I. Silva and R. Sousa and A. Abelha and J. Machado},
editor = {Shakshuki E.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144824043&doi=10.1016%2fj.procs.2022.10.148&partnerID=40&md5=860a35222661de3243855a8f9f6a295a},
doi = {10.1016/j.procs.2022.10.148},
issn = {18770509},
year = {2022},
date = {2022-01-01},
journal = {Procedia Computer Science},
volume = {210},
number = {C},
pages = {265-270},
publisher = {Elsevier B.V.},
abstract = {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. © 2022 Elsevier B.V.. All rights reserved.},
note = {cited By 2; Conference of 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN / The 12th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2022 / Affiliated Workshops ; Conference Date: 26 October 2022 Through 28 October 2022; Conference Code:148658},
keywords = {Additional costs; Archetype; Business-intelligence; Clinical data; Complementary diagnostic request; Demographic data; Diagnostic tests; Health outcomes; OpenEHR; Template, Architecture; Data warehouses; Diagnosis; Information analysis, Interoperability},
pubstate = {published},
tppubtype = {inproceedings}
}
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. © 2022 Elsevier B.V.. All rights reserved.