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Stud Health Technol Inform. 2017;235:421-425.

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

Author information

1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France.
2
Sorbonne Universités, UPMC Univ Paris 06, INSERM Sorbonne Paris Cité, Université Paris 13, LIMICS, UMR_S 1142, Paris, France.

Abstract

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.

KEYWORDS:

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

PMID:
28423827
[Indexed for MEDLINE]

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