HL7 v3 message extraction using Semantic Web techniques. Issue 1 (1st January 2012)

• Record Type: Journal Article
• Authors: Jayaratna, Priya; Sartipi, Kamran
• Is Part Of: International journal of knowledge engineering and data mining. Volume 2:Issue 1(2012)
• Page Start: 89
• Page End: 115
• Publication Date: 2012-01-01
• Subjects: health informatics -- healthcare system -- Semantic Web -- SW -- HL7 v3 -- scenario -- system interoperability -- information model -- interaction -- transaction -- context -- knowledge management; Knowledge representation (Information theory) -- Periodicals; Data mining -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-2087

Abstract

Healthcare system integration is an area of utmost importance in the overall eHealth strategy of countries. The overall goal of these efforts is to provide a large scale and unified view of clinical information to healthcare practitioners, thereby enabling them to deliver accurate and timely services to the general public in a cost-efficient manner. In this paper, we present a novel framework for identifying HL7 v3 messages to represent healthcare transactions that take place in an integration scenario. The proposed technique provides a new categorisation of HL7 v3 message functionality according to a set of message contexts extracted by extensive study of HL7 v3 information hierarchies and messaging infrastructure. These contexts allow us to map the key terms in a healthcare scenario to the corresponding HL7 v3 messages using Semantic Web technology. We have developed a prototype tool and will present two healthcare case studies to demonstrate our solution.