A model-driven transformation approach for the modelling of processes in clinical practice guidelines
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Otros documentos de la autoría: Martínez-Salvador, Begoña; Marcos, Mar; Palau, Patricia; Domínguez Mafé, Eloy
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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A model-driven transformation approach for the modelling of processes in clinical practice guidelinesFecha de publicación
2023Editor
ElsevierCita bibliográfica
MARTÍNEZ-SALVADOR, Begoña, et al. A model-driven transformation approach for the modelling of processes in clinical practice guidelines. Artificial Intelligence in Medicine, 2023, vol. 137, p. 102495.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S093336572300009XVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Clinical Practice Guidelines (CPGs) include recommendations aimed at optimising patient care, informed by a
review of the available clinical evidence. To achieve their potential benefits, CPG should be readily ... [+]
Clinical Practice Guidelines (CPGs) include recommendations aimed at optimising patient care, informed by a
review of the available clinical evidence. To achieve their potential benefits, CPG should be readily available
at the point of care. This can be done by translating CPG recommendations into one of the languages
for Computer-Interpretable Guidelines (CIGs). This is a difficult task for which the collaboration of clinical
and technical staff is crucial. However, in general CIG languages are not accessible to non-technical staff.
We propose to support the modelling of CPG processes (and hence the authoring of CIGs) based on a
transformation, from a preliminary specification in a more accessible language into an implementation in a
CIG language. In this paper, we approach this transformation following the Model-Driven Development (MDD)
paradigm, in which models and transformations are key elements for software development. To demonstrate
the approach, we implemented and tested an algorithm for the transformation from the BPMN language for
business processes to the PROforma CIG language. This implementation uses transformations defined in the
ATLAS Transformation Language. Additionally, we conducted a small experiment to assess the hypothesis that
a language such as BPMN can facilitate the modelling of CPG processes by clinical and technical staff. [-]
Publicado en
Artificial Intelligence in Medicine, Volume 137, March 2023.Entidad financiadora
Ministerio de Economía y Competitividad
Código del proyecto o subvención
TIN2014-53749-C2-1-R.
Derechos de acceso
info:eu-repo/semantics/openAccess
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