Towards the merging of multiple clinical protocols and guidelines via ontology-driven modeling

Samina Raza Abidi, Syed Sibte Raza Abidi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Decision support systems based on computerized Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) fall short when dealing with patient co-morbidites, as this demands the concurrent merging of multiple CP/CPG. We present an ontology-based approach for the merging of CPG and CP at two levels-i.e. knowledge modeling level and knowledge execution level. We have developed specialized ontological modeling constructs to facilitate merging of CPG and CP. We demonstrate the merging of multiple location-specific CP and disease-specific CPG.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Proceedings
Pages81-85
Number of pages5
DOIs
Publication statusPublished - 2009
Event12th Conference on Artificial Intelligence in Medicine, AIME 2009 - Verona, Italy
Duration: Jul 18 2009Jul 22 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5651 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Conference on Artificial Intelligence in Medicine, AIME 2009
Country/TerritoryItaly
CityVerona
Period7/18/097/22/09

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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Abidi, S. R., & Abidi, S. S. R. (2009). Towards the merging of multiple clinical protocols and guidelines via ontology-driven modeling. In Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Proceedings (pp. 81-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5651 LNAI). https://doi.org/10.1007/978-3-642-02976-9_10