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Ontologies Applied in Clinical Decision Support System Rules: Systematic Review.

Xia Jing1, Hua Min2, Yang Gong3

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Summary

Ontologies can enhance clinical decision support systems (CDSSs) by organizing medical knowledge. However, ontologies are not yet used for CDSS rule management or reuse, limiting their potential in healthcare.

Keywords:
Semantic Web technologyclinical decision support system rulesclinical decision support systemsinteroperabilityontology

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Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Health Information Technology

Background:

  • Clinical decision support systems (CDSSs) are crucial for healthcare quality and safety.
  • Current CDSS rules lack routine sharing and reuse, hindering their broader application.

Purpose of the Study:

  • To systematically review the literature on ontologies applied to CDSS rules.
  • To identify the current status and frontiers of ontology use in CDSS rule management and maintenance.
  • To explore how ontologies can promote the reuse of CDSS rules.

Main Methods:

  • Systematic literature search across PubMed, ACM Digital Library, and Nursing & Allied Health Database.
  • Focused on the intersection of ontologies, clinical decision support, and rules.
  • Followed Grounded Theory and PRISMA 2020 guidelines, with independent validation of screening and results.

Main Results:

  • 81 publications showed CDSSs primarily manage chronic conditions, medication alerts, and treatment recommendations.
  • CDSS rules were found in Semantic Web Rule Language, Jess, or Jena formats.
  • Ontologies have been used for medical knowledge and terminologies but not for CDSS rule management or reuse.

Conclusions:

  • Ontologies effectively organize medical knowledge, vocabularies, and CDSS rule content.
  • Limited reuse of CDSS rules has been observed.
  • Further work is needed to enhance the reusability and interoperability of CDSS rules using ontologies and Semantic Web technologies.