Cargando…

How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review

BACKGROUND: Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best po...

Descripción completa

Detalles Bibliográficos
Autores principales: Sadeghi-Ghyassi, Fatemeh, Damanabi, Shahla, Kalankesh, Leila R., Van de Velde, Stijn, Feizi-Derakhshi, Mohammad-Reza, Hajebrahimi, Sakineh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429575/
https://www.ncbi.nlm.nih.gov/pubmed/36042520
http://dx.doi.org/10.1186/s13643-022-02063-7
_version_ 1784779498355425280
author Sadeghi-Ghyassi, Fatemeh
Damanabi, Shahla
Kalankesh, Leila R.
Van de Velde, Stijn
Feizi-Derakhshi, Mohammad-Reza
Hajebrahimi, Sakineh
author_facet Sadeghi-Ghyassi, Fatemeh
Damanabi, Shahla
Kalankesh, Leila R.
Van de Velde, Stijn
Feizi-Derakhshi, Mohammad-Reza
Hajebrahimi, Sakineh
author_sort Sadeghi-Ghyassi, Fatemeh
collection PubMed
description BACKGROUND: Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best possible practice. Guideline-based clinical decision support systems play a significant role in supporting physicians in their decisions. Meantime, system errors are the most critical concerns in designing decision support systems that can affect their performance and efficacy. A well-developed ontology can be helpful in this matter. The proposed systematic review will specify the methods, components, language of rules, and evaluation methods of current ontology-driven guideline-based clinical decision support systems. METHODS: This review will identify literature through searching MEDLINE (via Ovid), PubMed, EMBASE, Cochrane Library, CINAHL, ScienceDirect, IEEEXplore, and ACM Digital Library. Gray literature, reference lists, and citing articles of the included studies will be searched. The quality of the included studies will be assessed by the mixed methods appraisal tool (MMAT-version 2018). At least two independent reviewers will perform the screening, quality assessment, and data extraction. A third reviewer will resolve any disagreements. Proper data analysis will be performed based on the type of system and ontology engineering evaluation data. DISCUSSION: The study will provide evidence regarding applying ontologies in guideline-based clinical decision support systems. The findings of this systematic review will be a guide for decision support system designers and developers, technologists, system providers, policymakers, and stakeholders. Ontology builders can use the information in this review to build well-structured ontologies for personalized medicine. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018106501 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-022-02063-7.
format Online
Article
Text
id pubmed-9429575
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-94295752022-09-01 How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review Sadeghi-Ghyassi, Fatemeh Damanabi, Shahla Kalankesh, Leila R. Van de Velde, Stijn Feizi-Derakhshi, Mohammad-Reza Hajebrahimi, Sakineh Syst Rev Protocol BACKGROUND: Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best possible practice. Guideline-based clinical decision support systems play a significant role in supporting physicians in their decisions. Meantime, system errors are the most critical concerns in designing decision support systems that can affect their performance and efficacy. A well-developed ontology can be helpful in this matter. The proposed systematic review will specify the methods, components, language of rules, and evaluation methods of current ontology-driven guideline-based clinical decision support systems. METHODS: This review will identify literature through searching MEDLINE (via Ovid), PubMed, EMBASE, Cochrane Library, CINAHL, ScienceDirect, IEEEXplore, and ACM Digital Library. Gray literature, reference lists, and citing articles of the included studies will be searched. The quality of the included studies will be assessed by the mixed methods appraisal tool (MMAT-version 2018). At least two independent reviewers will perform the screening, quality assessment, and data extraction. A third reviewer will resolve any disagreements. Proper data analysis will be performed based on the type of system and ontology engineering evaluation data. DISCUSSION: The study will provide evidence regarding applying ontologies in guideline-based clinical decision support systems. The findings of this systematic review will be a guide for decision support system designers and developers, technologists, system providers, policymakers, and stakeholders. Ontology builders can use the information in this review to build well-structured ontologies for personalized medicine. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018106501 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13643-022-02063-7. BioMed Central 2022-08-31 /pmc/articles/PMC9429575/ /pubmed/36042520 http://dx.doi.org/10.1186/s13643-022-02063-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Protocol
Sadeghi-Ghyassi, Fatemeh
Damanabi, Shahla
Kalankesh, Leila R.
Van de Velde, Stijn
Feizi-Derakhshi, Mohammad-Reza
Hajebrahimi, Sakineh
How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title_full How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title_fullStr How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title_full_unstemmed How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title_short How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
title_sort how are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429575/
https://www.ncbi.nlm.nih.gov/pubmed/36042520
http://dx.doi.org/10.1186/s13643-022-02063-7
work_keys_str_mv AT sadeghighyassifatemeh howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview
AT damanabishahla howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview
AT kalankeshleilar howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview
AT vandeveldestijn howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview
AT feiziderakhshimohammadreza howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview
AT hajebrahimisakineh howareontologiesimplementedtorepresentclinicalpracticeguidelinesinclinicaldecisionsupportsystemsprotocolforasystematicreview