Cargando…

A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study

BACKGROUND: The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routin...

Descripción completa

Detalles Bibliográficos
Autores principales: Martinez-Garcia, Alicia, Naranjo-Saucedo, Ana Belén, Rivas, Jose Antonio, Romero Tabares, Antonio, Marín Cassinello, Ana, Andrés-Martín, Anselmo, Sánchez Laguna, Francisco José, Villegas, Roman, Pérez León, Francisco De Paula, Moreno Conde, Jesús, Parra Calderón, Carlos Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991993/
https://www.ncbi.nlm.nih.gov/pubmed/33709932
http://dx.doi.org/10.2196/13182
_version_ 1783669288171732992
author Martinez-Garcia, Alicia
Naranjo-Saucedo, Ana Belén
Rivas, Jose Antonio
Romero Tabares, Antonio
Marín Cassinello, Ana
Andrés-Martín, Anselmo
Sánchez Laguna, Francisco José
Villegas, Roman
Pérez León, Francisco De Paula
Moreno Conde, Jesús
Parra Calderón, Carlos Luis
author_facet Martinez-Garcia, Alicia
Naranjo-Saucedo, Ana Belén
Rivas, Jose Antonio
Romero Tabares, Antonio
Marín Cassinello, Ana
Andrés-Martín, Anselmo
Sánchez Laguna, Francisco José
Villegas, Roman
Pérez León, Francisco De Paula
Moreno Conde, Jesús
Parra Calderón, Carlos Luis
author_sort Martinez-Garcia, Alicia
collection PubMed
description BACKGROUND: The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routine of clinical practice will improve the patients’ health care, increase patient safety, and optimize resources use. OBJECTIVE: The aim of this study is to develop and evaluate a new tool (KNOWBED system) as a clinical decision support system to support scientific knowledge, enabling health care professionals to quickly carry out decision-making processes based on EBM during their routine clinical practice. METHODS: Two components integrate the KNOWBED system: a web-based knowledge station and a mobile app. A use case (bronchiolitis pathology) was selected to validate the KNOWBED system in the context of the Paediatrics Unit of the Virgen Macarena University Hospital (Seville, Spain). The validation was covered in a 3-month pilot using 2 indicators: usability and efficacy. RESULTS: The KNOWBED system has been designed, developed, and validated to support clinical decision making in mobility based on standards that have been incorporated into the routine clinical practice of health care professionals. Using this tool, health care professionals can consult existing scientific knowledge at the bedside, and access recommendations of clinical protocols established based on EBM. During the pilot project, 15 health care professionals participated and accessed the system for a total of 59 times. CONCLUSIONS: The KNOWBED system is a useful and innovative tool for health care professionals. The usability surveys filled in by the system users highlight that it is easy to access the knowledge base. This paper also sets out some improvements to be made in the future.
format Online
Article
Text
id pubmed-7991993
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-79919932021-04-01 A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study Martinez-Garcia, Alicia Naranjo-Saucedo, Ana Belén Rivas, Jose Antonio Romero Tabares, Antonio Marín Cassinello, Ana Andrés-Martín, Anselmo Sánchez Laguna, Francisco José Villegas, Roman Pérez León, Francisco De Paula Moreno Conde, Jesús Parra Calderón, Carlos Luis JMIR Med Inform Original Paper BACKGROUND: The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routine of clinical practice will improve the patients’ health care, increase patient safety, and optimize resources use. OBJECTIVE: The aim of this study is to develop and evaluate a new tool (KNOWBED system) as a clinical decision support system to support scientific knowledge, enabling health care professionals to quickly carry out decision-making processes based on EBM during their routine clinical practice. METHODS: Two components integrate the KNOWBED system: a web-based knowledge station and a mobile app. A use case (bronchiolitis pathology) was selected to validate the KNOWBED system in the context of the Paediatrics Unit of the Virgen Macarena University Hospital (Seville, Spain). The validation was covered in a 3-month pilot using 2 indicators: usability and efficacy. RESULTS: The KNOWBED system has been designed, developed, and validated to support clinical decision making in mobility based on standards that have been incorporated into the routine clinical practice of health care professionals. Using this tool, health care professionals can consult existing scientific knowledge at the bedside, and access recommendations of clinical protocols established based on EBM. During the pilot project, 15 health care professionals participated and accessed the system for a total of 59 times. CONCLUSIONS: The KNOWBED system is a useful and innovative tool for health care professionals. The usability surveys filled in by the system users highlight that it is easy to access the knowledge base. This paper also sets out some improvements to be made in the future. JMIR Publications 2021-03-10 /pmc/articles/PMC7991993/ /pubmed/33709932 http://dx.doi.org/10.2196/13182 Text en ©Alicia Martinez-Garcia, Ana Belén Naranjo-Saucedo, Jose Antonio Rivas, Antonio Romero Tabares, Ana Marín Cassinello, Anselmo Andrés-Martín, Francisco José Sánchez Laguna, Roman Villegas, Francisco De Paula Pérez León, Jesús Moreno Conde, Carlos Luis Parra Calderón. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 10.03.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Martinez-Garcia, Alicia
Naranjo-Saucedo, Ana Belén
Rivas, Jose Antonio
Romero Tabares, Antonio
Marín Cassinello, Ana
Andrés-Martín, Anselmo
Sánchez Laguna, Francisco José
Villegas, Roman
Pérez León, Francisco De Paula
Moreno Conde, Jesús
Parra Calderón, Carlos Luis
A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title_full A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title_fullStr A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title_full_unstemmed A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title_short A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
title_sort clinical decision support system (knowbed) to integrate scientific knowledge at the bedside: development and evaluation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991993/
https://www.ncbi.nlm.nih.gov/pubmed/33709932
http://dx.doi.org/10.2196/13182
work_keys_str_mv AT martinezgarciaalicia aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT naranjosaucedoanabelen aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT rivasjoseantonio aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT romerotabaresantonio aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT marincassinelloana aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT andresmartinanselmo aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT sanchezlagunafranciscojose aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT villegasroman aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT perezleonfranciscodepaula aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT morenocondejesus aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT parracalderoncarlosluis aclinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT martinezgarciaalicia clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT naranjosaucedoanabelen clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT rivasjoseantonio clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT romerotabaresantonio clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT marincassinelloana clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT andresmartinanselmo clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT sanchezlagunafranciscojose clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT villegasroman clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT perezleonfranciscodepaula clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT morenocondejesus clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy
AT parracalderoncarlosluis clinicaldecisionsupportsystemknowbedtointegratescientificknowledgeatthebedsidedevelopmentandevaluationstudy