Artículo
Evaluation of clinical practice guideline-derived clinical decision support systems using a novel quality model
Autor/es | García García, Julián Alberto
Carrero, Manuel Escalona Cuaresma, María José Lizcano, David |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2024 |
Fecha de depósito | 2024-07-10 |
Publicado en |
|
Resumen | 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 ... 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. |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Evaluation of ...pdf | 1.168Mb | [PDF] | Ver/ | |