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Patient and Business Rules Extraction and Formalisation Using SVN and SBVR for Automated Healthcare

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Open access
Authors
Meersman, Davor
De Leenheer, P.
Hadzic, Fedja
Date
2012
Type
Conference Paper

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Meersman, Davor and De Leenheer, Pieter and Hadzic, Fedja. 2012. Patient and Business Rules Extraction and Formalisation Using SVN and SBVR for Automated Healthcare, in J. Lamp (ed), Proceedings of the 23rd Australasian Conference on Information Systems, Dec 3-5 2012, pp. 1-10. Geelong, Vic.: Deakin University.
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ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Source Conference
Australasian Conference on Information Systems 2012
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This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

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Abstract

This paper describes advances in automated health service selection and composition in the Ambient Assisted Living (AAL) domain. We apply a Service Value Network (SVN) approach to automatically match medical practice recommendations to health services based on sensor readings in a home care context. Medical practice recommendations are extracted from National Health and Medical Research Council (NHMRC) guidelines. Service networks are derived from Medicare Benefits Schedule (MBS) listings. Service provider rules are further formalised using Semantics of Business Vocabulary and Business Rules (SBVR), which allows business participants to identify and define machine-readable rules. We demonstrate our work by applying an SVN composition process to patient profiles in the context of Type 2 Diabetes Management.