eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI

Abstract : Clinical Decision Support System (CDSSs) should form an important part of the field of clinical knowledge management technologies through their capacity to support the clinical process and use of knowledge, including knowledge maintenance and continuous learning, from diagnosis and investigation through surgery, treatment and long-term care. The work presented shows a workflow-based CDSS designed to give case-specific assessment to clinicians during complex surgery or Minimally Invasive Surgery (MISs). Following a perioperative workflow, the designed software will use a Case-Based Reasoning (CBR) methodology to retrieve similar past cases from a case base to provide support at any particular point of the process. The graphical user interface allows easy navigation through the whole support progress, from the initial configuration steps to the final results organized as sets of experiments easily visualized in a user-friendly way. The eXiTCDSS tool is presented giving support to a recent complex minimally invasive surgery which is receiving growing attention lately, the Transcatheter Aortic Valve Implantation (TAVI). The results obtained are presented on a basis of a real TAVI case base of 82 patients operated at Rennes University Hospital.
Liste complète des métadonnées

Littérature citée [41 références]  Voir  Masquer  Télécharger

http://www.hal.inserm.fr/inserm-00842094
Contributeur : Lotfi Senhadji <>
Soumis le : dimanche 7 juillet 2013 - 17:15:24
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
Document(s) archivé(s) le : mardi 8 octobre 2013 - 02:55:15

Fichier

exsysapp.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inserm-00842094, version 1

Collections

Citation

Andres El-Fakdi, Francisco Gamero, Joaquim Melendez, Vincent Auffret, Pascal Haigron. eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI. Expert Systems with Applications, Elsevier, 2013. 〈inserm-00842094〉

Partager

Métriques

Consultations de la notice

725

Téléchargements de fichiers

495