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Arden Syntax studio: creating medical logic module as shareable knowledge


Ali, T and Hussein, M and Khan, WA and Afzal, M and Kang, BH and Lee, S, Arden Syntax studio: creating medical logic module as shareable knowledge, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2014) Proceedings, 23-25 July 2014, Alberobello, Italy, pp. 266-272. ISBN 978-1-4799-3019-7 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 IEEE

DOI: doi:10.1109/INISTA.2014.6873629


Clinical Decision Support Systems assist the physicians to make critical decisions during the diagnosis and treatment of the patients. CDSS envisions an extendable, shareable and reusable knowledge base to generate shareable guidelines and recommendations. Existing systems utilize HL7 standard Arden Syntax MLM and data model vMR schema for shareability and interoperability purpose. Understanding the Arden Syntax and vMR schema classes is tedious task for physicians, therefore an easy to use knowledge authoring environment is required to overcome the barrier of acquiring clinical knowledge. We are presenting Arden Syntax based authoring environment called Arden Syntax Studio that provides an easy to use interface to the physicians for creating shareable MLM without understanding the HL7 standard Arden Syntax. The created MLM can easily integrate with other healthcare systems by using HL7 standard data model vMR. The system hides the vMR layer from physicians by replacing vMR schema classís layer with corresponding understandable healthcare systemís concepts. Therefore, the physician does not need to learn and understand complete Arden Syntax and vMR data model to create shareable rules in form of MLM. The system also provides the Intelli-sense functionality to enhance the knowledge rule creation process and reduce the possibilities of physicianís errors. Furthermore, to enhance the interoperability feature our system capitalizes standard terminologies of the SNOMED CT concepts. The terminologies that are specific to organization, environment or region are handled with localized concepts in addition to SNOMED CT concepts.

Item Details

Item Type:Refereed Conference Paper
Keywords:Arden Syntax, vMR data model, domain ontology, intelli-sense functionality, user friendly, authoring environment
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:98412
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2015-02-13
Last Modified:2017-11-13

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