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Published on: September 26, 2018
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.
Abstract:
Hypertension, as a cardiovascular risk factor, is a public health issue for which many clinical practice guidelines (CPGs) are published. In order to build the knowledge base of a clinical decision support system for the management of hypertension, we analysed three contemporary (2013) CPGs written in French on hypertension in a knowledge modelling perspective. We developed a semi-automated method using natural language processing called term extraction. Relevant candidate terms have been mapped to medical concepts to produce the conceptual coverage of each CPG. Only 53% of the 88 identified concepts were shared by the three guidelines. While sharing concepts does not warrantee that CPGs contents are similar, this also emphasizes guideline specificities. Such specificities could enrich the knowledge base of decision support systems by broadening their scope.
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