Analyse et structuration automatique des guides de bonnes pratiques cliniques : essai d'\'evaluation

TL;DR

This paper introduces GemFrame, a semi-automatic system for structuring clinical practice guidelines by extracting semantic information from French texts, aiding in unifying and recommending medical practices.

Contribution

The paper presents GemFrame, a novel system that automatically extracts semantic condition-action pairs from clinical texts to improve guideline structuring.

Findings

Good performance on French practice guidelines

Effective extraction of semantic condition-action pairs

Precise evaluation of the system's accuracy

Abstract

Health Practice Guideliens are supposed to unify practices and propose recommendations to physicians. This paper describes GemFrame, a system capable of semi-automatically filling an XML template from free texts in the clinical domain. The XML template includes semantic information not explicitly encoded in the text (pairs of conditions and ac-tions/recommendations). Therefore, there is a need to compute the exact scope of condi-tions over text sequences expressing the re-quired actions. We present a system developped for this task. We show that it yields good performance when applied to the analysis of French practice guidelines. We conclude with a precise evaluation of the tool.