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Maximising the benefits of radio frequency identification technology (RFID) integration in clinical contexts : a linear conduit
conference contribution
posted on 2009-01-01, 00:00 authored by Chandana Unnithan, R Smith, Bardo FraunholzBardo FraunholzRadio Frequency Identification Technology (RFIO) has been explored for various process enhancements in clinical contexts, particularly hospitals, for asset tracking. The technology has been accepted in such environments, as it is inexpensive and, in principle, uncomplicated to integrate with other clinical support systems. It is perceived to offer many benefits to currently resource critical/strained clinical environments. This research investigation focuses on the exploitation of the potential of the technology, to enhance processes in clinical environments. In this paper, the researchers aimed to uncover if the technology, as presently deployed, has been able to achieve its potential and, in particular, if it has been fully integrated into processes in a way that maximises the benefits that were perceived. This research is part of a larger investigation that aims to develop a meta-model for integration of RFIO into processes in a form that will maximise benefits that may be achievable in clinical environments. As the first phase of the investigation, the key learning from a clinical context (hospital), which has deployed RFIO and attempted to integrate it into the processes, to enable better efficiencies, is presented in this paper. The case method has been used as a methodological framework. Two clinical contexts (hospitals) are involved in the larger project, which constitutes two phases. In Phase 1, semi structured interviews were conducted with a selected number of participants involved with the RFIO deployment project, before and after, in clinical context 1 (hereinafter named as CCl). The results were then synthesised drawing a set of key learning, from different viewpoints (implementers and users), as reported in this paper. These results outline a linear conduit for a new proposed implementation (CC2). On completion of the phase II, the researchers aim to construct a meta-model for maximising the potential of RFIO in clinical contexts. This paper is limited to the first phase that aims to draw key learning to inform the linear conduit.
History
Event
National Health Informatics Conference (2009 : Canberra, A.C.T.)Pagination
200 - 205Publisher
Health Informatics Society of AustraliaLocation
Canberra, A.C.T.Place of publication
[Canberra, A.C.T.]Start date
2009-08-19End date
2009-08-21ISBN-13
9780980552010Language
engNotes
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E1 Full written paper - refereedCopyright notice
2009, HISATitle of proceedings
HIC 2009 : Proceedings of the National Health Informatics ConferenceUsage metrics
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