dc.creator | García García, Julián Alberto | es |
dc.creator | Carrero, Manuel | es |
dc.creator | Escalona Cuaresma, María José | es |
dc.creator | Lizcano, David | es |
dc.date.accessioned | 2024-07-10T07:24:35Z | |
dc.date.available | 2024-07-10T07:24:35Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | García García, J.A., Carrero, M., Escalona Cuaresma, M.J. y Lizcano, D. (2024). Evaluation of clinical practice guideline-derived clinical decision support systems using a novel quality model. Journal of Biomedical Informatics, 149, 104573. https://doi.org/10.1016/j.jbi.2023.104573. | |
dc.identifier.issn | 1532-0464 | es |
dc.identifier.issn | 1532-0480 | es |
dc.identifier.uri | https://hdl.handle.net/11441/161238 | |
dc.description.abstract | Over the last decade, clinical practice guidelines (CPGs) have become an important asset for daily life in
healthcare organizations. Efficient management and digitization of CPGs help achieve organizational objectives
and improve patient care and healthcare quality by reducing variability. However, digitizing CPGs is a difficult,
complex task because they are usually expressed as text, and this often leads to the development of partial
software solutions. At present, different research proposals and CPG-derived CDSS (clinical decision support
system) do exist for managing CPG digitalization lifecycles (from modeling to deployment and execution), but
they do not all provide full lifecycle support, making it more difficult to choose solutions or proposals that
fully meet the needs of a healthcare organization. This paper proposes a method based on quality models
to uniformly compare and evaluate technological tools, providing a rigorous method that uses qualitative
and quantitative analysis of technological aspects. In addition, this paper also presents how this method
has been instantiated to evaluate and compare CPG-derived CDSS by highlighting each phase of the CPG
digitization lifecycle. Finally, discussion and analysis of currently available tools are presented, identifying
gaps and limitations. | es |
dc.format | application/pdf | es |
dc.format.extent | 12 p. | es |
dc.language.iso | eng | es |
dc.publisher | Academic Press Inc Elsevier Science | es |
dc.relation.ispartof | Journal of Biomedical Informatics, 149, 104573. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Comparative studies | es |
dc.subject | Clinical practice guideline | es |
dc.subject | Clinical decision support system | es |
dc.subject | Quality model | es |
dc.title | Evaluation of clinical practice guideline-derived clinical decision support systems using a novel quality model | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1532046423002940?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.jbi.2023.104573 | es |
dc.journaltitle | Journal of Biomedical Informatics | es |
dc.publication.volumen | 149 | es |
dc.publication.initialPage | 104573 | es |