Integrating clinical pathways into CDSS using context and rules - A case study in heart disease

Wen Yao, Akhil Kumar

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

2 Scopus citations

Abstract

In this paper, we propose an ontology-based approach for integrating clinical pathways into Clinical Decision Support Systems (CDSS) recognizing that flexible pathways are critical for the success of CDSS. Our approach is based on a better understanding of clinical context through ontologies, and bringing them to bear in deciding the right rules for a certain activity. We also describe an approach for integrating and instantiating context specific subprocess fragment into a clinical pathway on the fly based on the needs of a specific case. To illustrate the feasibility of our approach, we present a system architecture and prototype implementation, along with a case study for handling patients with heart disease. The role of semantic web technologies in integrating clinical pathways into CDSS is highlighted.

Original languageEnglish (US)
Title of host publicationIHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Pages611-620
Number of pages10
DOIs
StatePublished - Mar 8 2012
Event2nd ACM SIGHIT International Health Informatics Symposium, IHI'12 - Miami, FL, United States
Duration: Jan 28 2012Jan 30 2012

Publication series

NameIHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Other

Other2nd ACM SIGHIT International Health Informatics Symposium, IHI'12
CountryUnited States
CityMiami, FL
Period1/28/121/30/12

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Health Information Management

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    Yao, W., & Kumar, A. (2012). Integrating clinical pathways into CDSS using context and rules - A case study in heart disease. In IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (pp. 611-620). (IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium). https://doi.org/10.1145/2110363.2110431