Reconciliation of multiple guidelines for decision support: a case study on the multidisciplinary management of breast cancer within the DESIREE project. - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue AMIA ... Annual Symposium proceedings. AMIA Symposium Année : 2017

Reconciliation of multiple guidelines for decision support: a case study on the multidisciplinary management of breast cancer within the DESIREE project.

Résumé

Breast cancer is the most common cancer among women. DESIREE is a European project which aims at developing web-based services for the management of primary breast cancer by multidisciplinary breast units (BUs). We describe the guideline-based decision support system (GL-DSS) of the project. Various breast cancer clinical practice guidelines (CPGs) have been selected to be concurrently applied to provide state-of-the-art patient-specific recommendations. The aim is to reconcile CPG recommendations with the objective of complementarity to enlarge the number of clinical situations covered by the GL-DSS. Input and output data exchange with the GL-DSS is performed using FHIR. We used a knowledge model of the domain as an ontology on which relies the reasoning process performed by rules that encode the selected CPGs. Semantic web tools were used, notably the Euler/EYE inference engine, to implement the GL-DSS. "Rainbow boxes" are a synthetic tabular display used to visualize the inferred recommendations.
Fichier non déposé

Dates et versions

hal-02489249 , version 1 (24-02-2020)

Identifiants

  • HAL Id : hal-02489249 , version 1

Citer

B Séroussi, G Guézennec, Jb Lamy, N Muro, N Larburu, et al.. Reconciliation of multiple guidelines for decision support: a case study on the multidisciplinary management of breast cancer within the DESIREE project.. AMIA .. Annual Symposium proceedings. AMIA Symposium, 2017, 2017, pp.1527-1536. ⟨hal-02489249⟩
25 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More