OpenEHR logic module: a tool for creating decision rules

Bibliographic Details
Main Author: Silva, Beatriz
Publication Date: 2024
Other Authors: Hak, Francini, Santos, Manuel, Abelha, António
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/1822/89572
Summary: In clinical decision-making, data are fundamental elements for extracting knowledge for knowledge-based systems. Clinical Decision Support Systems (CDSS) need to ensure that stored data are semantically interoperable to, in turn, represent clinical knowledge and improve the quality of healthcare delivery. The openEHR standard provides a set of specifications that allow health information systems to manage electronic health records in a structured and standardized format. Therefore, this article aims to present a decision support tool capable of creating decision rules, including rules, decision tables, and scores. based on the decision language specifications of the openEHR.
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spelling OpenEHR logic module: a tool for creating decision rulesClinical decision support systemDecision languageDecision logicElectronic health recordsOpenEHRIn clinical decision-making, data are fundamental elements for extracting knowledge for knowledge-based systems. Clinical Decision Support Systems (CDSS) need to ensure that stored data are semantically interoperable to, in turn, represent clinical knowledge and improve the quality of healthcare delivery. The openEHR standard provides a set of specifications that allow health information systems to manage electronic health records in a structured and standardized format. Therefore, this article aims to present a decision support tool capable of creating decision rules, including rules, decision tables, and scores. based on the decision language specifications of the openEHR.This research was funded by Fundação para a Ciência e Tecnologia, within the Project Scope: UIDB/00319/2020. Francini Hak thanks the Fundac¸ao para a Tecnologia (FCT) for the grant 2021.06230.BDElsevierUniversidade do MinhoSilva, BeatrizHak, FranciniSantos, ManuelAbelha, António20242024-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/89572eng1877-050910.1016/j.procs.2023.12.229https://www.sciencedirect.com/science/article/pii/S187705092302241Xinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:12:01Zoai:repositorium.sdum.uminho.pt:1822/89572Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:55:06.391040Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv OpenEHR logic module: a tool for creating decision rules
title OpenEHR logic module: a tool for creating decision rules
spellingShingle OpenEHR logic module: a tool for creating decision rules
Silva, Beatriz
Clinical decision support system
Decision language
Decision logic
Electronic health records
OpenEHR
title_short OpenEHR logic module: a tool for creating decision rules
title_full OpenEHR logic module: a tool for creating decision rules
title_fullStr OpenEHR logic module: a tool for creating decision rules
title_full_unstemmed OpenEHR logic module: a tool for creating decision rules
title_sort OpenEHR logic module: a tool for creating decision rules
author Silva, Beatriz
author_facet Silva, Beatriz
Hak, Francini
Santos, Manuel
Abelha, António
author_role author
author2 Hak, Francini
Santos, Manuel
Abelha, António
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Silva, Beatriz
Hak, Francini
Santos, Manuel
Abelha, António
dc.subject.por.fl_str_mv Clinical decision support system
Decision language
Decision logic
Electronic health records
OpenEHR
topic Clinical decision support system
Decision language
Decision logic
Electronic health records
OpenEHR
description In clinical decision-making, data are fundamental elements for extracting knowledge for knowledge-based systems. Clinical Decision Support Systems (CDSS) need to ensure that stored data are semantically interoperable to, in turn, represent clinical knowledge and improve the quality of healthcare delivery. The openEHR standard provides a set of specifications that allow health information systems to manage electronic health records in a structured and standardized format. Therefore, this article aims to present a decision support tool capable of creating decision rules, including rules, decision tables, and scores. based on the decision language specifications of the openEHR.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/89572
url https://hdl.handle.net/1822/89572
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-0509
10.1016/j.procs.2023.12.229
https://www.sciencedirect.com/science/article/pii/S187705092302241X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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