Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review

Natallia Novikava (1) , Akram Redjdal (1) , Jacques Bouaud (1, 2) , Brigitte Seroussi (1, 3)

1 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
2 DRCI - Direction de la Recherche Clinique et de l'Innovation [AP-HP]
3 CHU Tenon [AP-HP]

Breast cancer is the most commonly diagnosed cancer worldwide, and its burden has been rising over the past decades. A significant advance in healthcare is the integration of Clinical Decision Support Systems (CDSSs) into medical practice, which support healthcare professionals improving clinical decisions, leading to recommended patient-specific treatments and enhanced patient care. Breast cancer CDSSs are thus currently expanding, whether applied to screening, diagnostic, therapeutic or follow-up tasks. We conducted a scoping review to study their availability and use in practice. Except risk calculators, very few CDSSs are currently routinely used.

Mots clés: Breast cancer; Clinical decision support system CDSS; Scoping review

Domaines: Santé publique et épidémiologie

Natallia Novikava, Akram Redjdal, Jacques Bouaud, Brigitte Seroussi. Clinical Decision Support Systems Applied to the Management of Breast Cancer Patients: A Scoping Review. Healthcare Transformation with Informatics and Artificial Intelligence, IOS Press, 2023, Studies in Health Technology and Informatics, ⟨10.3233/SHTI230503⟩. ⟨hal-04322831⟩