Comparison of clinical practice guidelines from a knowledge modelling perspective: a case study with the management

Alexandre Galopin1, Jacques Bouaud2, Suzanne Pereira1

  • 1Vidal, Issy-les-Moulineaux, France.

Insights

Clinical practice guidelines for hypertension management show limited concept overlap. Analyzing these guidelines can enhance clinical decision support systems by incorporating unique guideline-specific knowledge.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Public Health

Background:

  • Hypertension is a significant cardiovascular risk factor and public health concern.
  • Numerous clinical practice guidelines (CPGs) exist for hypertension management.
  • Clinical decision support systems (CDSS) require robust knowledge bases for effective hypertension management.

Purpose of the Study:

  • To analyze three French hypertension CPGs from 2013 using a knowledge modeling approach.
  • To evaluate the conceptual coverage and identify shared and unique concepts across these guidelines.
  • To inform the development of a CDSS knowledge base for hypertension management.

Main Methods:

  • A semi-automated term extraction method using natural language processing was employed.
  • Identified terms were mapped to medical concepts to determine conceptual coverage.
  • Comparative analysis of the conceptual content of three contemporary hypertension CPGs.

Main Results:

  • A total of 88 medical concepts were identified across the three analyzed CPGs.
  • Only 53% of these identified concepts were shared among all three guidelines.
  • Significant guideline-specific concepts were identified, indicating unique content in each CPG.

Conclusions:

  • Hypertension CPGs exhibit considerable variation in their conceptual content, with limited overlap.
  • The unique concepts within each CPG can significantly enrich the knowledge base of CDSS.
  • Leveraging guideline specificities can broaden the scope and improve the effectiveness of hypertension management CDSS.

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