A Manifesto for E-Health Success

Wickramasinghe, Nilmini; Bali, Rajeev K.; Tatnall, Arthur

doi:10.4018/jantti.2012070103

Cited by 3 publications

(1 citation statement)

References 10 publications

(24 reference statements)

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“…While Actor-Network Theory has been applied to implementation and adoption of different healthcare innovation studies (Hall 2005;Bossen 2007;Cresswell, Worth & Sheikh, 2010;Wickramasinghe, Bali, & Tatnall, 2012;Muhmmed, Zwicker, & Wickramasinghe, 2013), it has been criticized for its limitations. Amongst these one of the most notable criticisms is its inherent limitation is its inability to explain relationship formation between actors and over changes of events in relationship networks (Greenhalgh & Stones, 2010).…”

Section: Treatment Of Actor-network Theory (Ant)mentioning

confidence: 99%

Actor-Network Theory (ANT) Based Visualisation of Socio-Technical Facets of RFID Technology Translation

Unnithan

Tatnall

2014

International Journal of Actor-Network Theory and Technological Innovation

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In the early 2000s, Information Systems researchers in Australia had begun to emphasise socio-technical approaches in innovation adoption of technologies. The ‘essentialist' approaches to adoption (for example, Innovation Diffusion or TAM), suggest an essence is largely responsible for rate of adoption (Tatnall, 2011) or a new technology introduced may spark innovation. The socio-technical factors in implementing an innovation are largely flouted by researchers and hospitals. Innovation Translation is an approach that purports that any innovation needs to be customised and translated in to context before it can be adopted. Equally, Actor-Network Theory (ANT) is an approach that embraces the differences in technical and human factors and socio-professional aspects in a non-deterministic manner. The research reported in this paper is an attempt to combined the two approaches in an effective manner, to visualise the socio-technical factors in RFID technology adoption in an Australian hospital. This research investigation demonstrates RFID technology translation in an Australian hospital using a case approach (Yin, 2009). Data was collected using a process of focus groups and interviews, analysed with document analysis and concept mapping techniques. The data was then reconstructed in a ‘movie script' format, with Acts and Scenes funnelled to ANT informed abstraction at the end of each Act. The information visualisation at the end of each Act using ANT informed Lens reveal the re-negotiation and improvement of network relationships between the people (factors) involved including nurses, patient care orderlies, management staff and non-human participants such as equipment and technology. The paper augments the current gaps in literature regarding socio-technical approaches in technology adoption within Australian healthcare context, which is transitioning from non-integrated nearly technophobic hospitals in the last decade to a tech-savvy integrated era. More importantly, the ANT visualisation addresses one of the criticisms of ANT i.e. its insufficiency to explain relationship formations between participants and over changes of events in relationship networks (Greenhalgh & Stones, 2010).

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Section: Treatment Of Actor-network Theory (Ant)mentioning

confidence: 99%

Actor-Network Theory (ANT) Based Visualisation of Socio-Technical Facets of RFID Technology Translation

Unnithan

Tatnall

2014

International Journal of Actor-Network Theory and Technological Innovation

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Radio Frequency Identification Technology in an Australian Regional Hospital

Unnithan

Tatnall

2016

Advances in Healthcare Information Systems and Administration

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Australian hospitals had begun exploring Radio Frequency Identification, a wireless automatic identification and data capture technology for improving the quality of their services towards the end of 2000s. After many an unsuccessful pilots, a breakthrough for large hospitals came in 2010, with a key learning rendered by a large regional hospital that not only experimented with the technology, but also have made it all pervasive in their operations. In this chapter, we present the case study, through an innovation translation perspective, focusing on the socio-technical factors captured through elements of Actor-Network Theory.

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