Parallel Design of Browsing Scheme and Data Model for Multi-Level Hierarchical Application Devoted to Management of Patient with Infectious Disease in Primary Care.

Adrien Ugon (1) , Catherine Duclos (2) , Salamata Konate (2) , Sarah Arnedos Lopez (2) , Hechem Yazidi (2) , Alain Venot (2) , Marie-Christine Jaulent (2) , Rosy Tsopra (2)

1 SYEL - Systèmes Electroniques
2 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé

Many decision systems are based on a hierarchical approach, enriching the known context used to finally choose the right potential action. Designing the scheme for browsing the clinical guidelines is a task devoted to expert in infectious diseases. Designing the data model is a task devoted to the expert in data modeling. As a consequence, browsing scheme and data model generally differ in terms of abstraction levels. While the browsing scheme proposes to navigate into depth, the data model stays flat. We propose here a novel method to design in parallel the browsing scheme and the data model so that both of them reflect the different abstraction levels in decision process.

Mots clés: Antibiotic Prescription; Clinical Decision Support System; Clinical Practice guidelines; Data model; Hierarchical browsing; Antibiotic Prescription; Antibiotic Prescription; Antibiotic Prescription

Domaines: Informatique et langage [cs.CL]

Adrien Ugon, Catherine Duclos, Salamata Konate, Sarah Arnedos Lopez, Hechem Yazidi, et al.. Parallel Design of Browsing Scheme and Data Model for Multi-Level Hierarchical Application Devoted to Management of Patient with Infectious Disease in Primary Care.. Studies in Health Technology and Informatics, 2017, 235, pp.421-425. ⟨hal-03650022⟩