Visual Comparison of Guidelines: Method and Application to Potentially Inappropriate Medication Lists

Abdelmalek Mouazer (1) , Karima Sedki (1) , Rosy Tsopra (2, 3, 4) , Jean-Baptiste Lamy (1)

1 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
2 CRC (UMR_S_1138 / U1138) - Centre de Recherche des Cordeliers
3 HEGP - Hôpital Européen Georges Pompidou [APHP]
4 HeKA - Health data- and model- driven Knowledge Acquisition

Therapeutic guidelines developed by experts are essential tools for improving therapy and drug prescription. Several guidelines often exist that target the same patient, from different organizations and countries. The case of lists for the detection of potentially inappropriate medications (PIMs) is an example which illustrates how these guidelines can be varied and multiple. In order to have an overview to the divergences and similarities between different lists of PIMs, we propose a visual method to compare PIMs lists, based on set visualization, and we apply it to 5 guidelines.

Mots clés: Set visualization; Therapeutic guidelines; Potentially inappropriate medications; Drug classification; ATC classification; Set visualization

Domaines: Santé publique et épidémiologie; Intelligence artificielle [cs.AI]

Abdelmalek Mouazer, Karima Sedki, Rosy Tsopra, Jean-Baptiste Lamy. Visual Comparison of Guidelines: Method and Application to Potentially Inappropriate Medication Lists. Studies in Health Technology and Informatics, 2021, 281, pp.248-252. ⟨10.3233/shti210158⟩. ⟨hal-03479325⟩