Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1078
Title: Using ANT to uncover the full potential of an intelligent operational planning and support tool (IOPST) for acute healthcare contexts.
Epworth Authors: Wickramasinghe, Nilmini
Muhammad, Imran
Redley, Bernice
Botti, Mari
Other Authors: Moghimi, Fatema Hoda
Taylor, Nyree
Nguyen, Lemai
Stein, Malte
Kent, Bridie
Keywords: Actor-Networks
Actor-Network Theory
ANT
Healthcare Delivery
Nursing Informatics
Operational Planning
Patient Safety
Quality Care
Acute Care
Proof-of-Concept
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2013
Publisher: IGI Global
Citation: 5(2), 29-49
Abstract: Based on initial pre-clinical data and results from focus group studies, proof of concept for an intelligent operational planning and support tool (IOPST) for nursing in acute healthcare contexts has been demonstrated. However, moving from a simulated context to a large scale clinical trial brings potential challenges associated with the many complexities and multiple people-technology interactions. To enable an in depth and rich analysis of such a context, it is the contention of this paper that incorporating an Actor-Network Theory (ANT) lens to facilitate analysis will be a prudent option as discussed below.
URI: http://hdl.handle.net/11434/1078
DOI: 10.4018/jantti.2013040103
ISSN: 1942-535X
1942-5368
Journal Title: International Journal of Actor-Network Theory and Technological Innovation (IJANTTI)
Type: Journal Article
Affiliated Organisations: School of Business IT & Logistics, RMIT University, Melbourne, VIC, Australia
Department of Information Systems, RMIT University, VIC, Australia
School of Information Systems, Deakin University, VIC, Australia
School of Nursing and Midwifery, Deakin University, VIC, Australia
Eastern Health Nursing and Midwifery Research Centre, Deakin University, VIC, Australia
Department of Technical Computer Science, Technical University of Berlin, Germany
Type of Clinical Study or Trial: Exploratory Qualitative Design
Appears in Collections:Health Informatics

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