Design of an intelligent health system using evolutionary middleware for sensor actor networks

Chiu, C; Chaczko, Z; Kong, X

Design of an intelligent health system using evolutionary middleware for sensor actor networks

Chiu, C

Chaczko, Z

Kong, X

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Publication Type:: Conference Proceeding
Citation:: 2012 International Conference on Information Science and Applications, ICISA 2012, 2012
Issue Date:: 2012-07-30

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Field	Value	Language
dc.contributor.author	Chiu, C https://orcid.org/0000-0003-2045-5961	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.date.issued	2012-07-30	en_US
dc.identifier.citation	2012 International Conference on Information Science and Applications, ICISA 2012, 2012	en_US
dc.identifier.isbn	9781467321860	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31665
dc.description.abstract	Information infrastructure for healthcare is undergoing a transformational shift in the way it is perceived and used by health professionals. This is driven by the need to unify patient records seamlessly, and integrate emerging technologies in the Sensor-Actor Network (SANET) realm that incorporate patient sensory systems such as wireless sensor networks and body-area networks. By harnessing The Open Group Architecture Framework (TOGAF), it ensures integrity is considered throughout development processes by analyzing the problem space and scenarios, constraints, requirements, risks, enablers and inhibitors of the legacy application architectures. The proposed architecture with TOGAF components incorporating SANETs addresses the need to harmonize legacy operations in a consistent manner with industry best practice to ensure universal patient records are comprehensive and secure, thus protecting against identity theft and adhering to privacy regulation compliance. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 International Conference on Information Science and Applications, ICISA 2012	en_US
dc.relation.isbasedon	10.1109/ICISA.2012.6220967	en_US
dc.title	Design of an intelligent health system using evolutionary middleware for sensor actor networks	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Suwon, South Korea
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Information infrastructure for healthcare is undergoing a transformational shift in the way it is perceived and used by health professionals. This is driven by the need to unify patient records seamlessly, and integrate emerging technologies in the Sensor-Actor Network (SANET) realm that incorporate patient sensory systems such as wireless sensor networks and body-area networks. By harnessing The Open Group Architecture Framework (TOGAF), it ensures integrity is considered throughout development processes by analyzing the problem space and scenarios, constraints, requirements, risks, enablers and inhibitors of the legacy application architectures. The proposed architecture with TOGAF components incorporating SANETs addresses the need to harmonize legacy operations in a consistent manner with industry best practice to ensure universal patient records are comprehensive and secure, thus protecting against identity theft and adhering to privacy regulation compliance. © 2012 IEEE.

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http://hdl.handle.net/10453/31665