Exploiting OWL reasoning services to execute ontologically-modeled clinical practice guidelines

Authors:
Borna Jafarpour;Samina Raza Abidi;Syed Sibte Raza Abidi
Affiliations:
NICHE Research Group, Computer Science Deapartment, Dalhousie University;NICHE Research Group, Computer Science Deapartment, Dalhousie University;NICHE Research Group, Computer Science Deapartment, Dalhousie University
Venue:
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Year:
2011

Citing 4
Cited 1

Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL

Knowledge-Based Systems
Executing medical guidelines on the web: Towards next generation healthcare

Knowledge-Based Systems
Query Answering for OWL-DL with rules

Web Semantics: Science, Services and Agents on the World Wide Web
Ontology-based knowledge modeling to provide decision support for comorbid diseases

KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care

Methodological Review: Computer-interpretable clinical guidelines: A methodological review

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ontology-based modeling of Clinical Practice Guidelines (CPG) is a well-established approach to computerize CPG for execution in clinical decision support systems. Many CPG computerization approaches use the Web Ontology Language (OWL) to represent the CPG's knowledge, but they do not exploit its reasoning services to execute the CPG. In this paper, we present our CPG execution approach that leverages OWL reasoning services to execute CPG. In this way, both CPG knowledge representation and execution semantics are maintained within the same formalism. We have developed three different OWL-based CPG execution engines using OWL-DL, OWL 2 and SWRL. We evaluate the efficacy of our execution engines by executing an existing OWL based CPG. We also present a comparison of the execution capabilities of our three CPG execution engines.