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Distributed cognition for evaluating healthcare technology

Rajkomar, A; Blandford, A; (2011) Distributed cognition for evaluating healthcare technology. In: Little, L and Coventry, LM, (eds.) BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction. (pp. 341 - 350). ACM/ British Computer Society: Swindon, UK. Green open access


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Distributed Cognition (DCog) has been proposed as being a better approach to analyzing healthcare work than traditional cognitive approaches, due to the collaborative nature of healthcare work. This study sought to explore this by applying two DCog frameworks, DiCoT and the Resources Model, to the analysis of infusion pump use in an Intensive Care Unit. Data was gathered through observations and interviews, and then analysed using DiCoT and the Resources Model to construct models representing the social structures, information flows, physical layouts and artefact use involved in infusion administration in the ICU. The findings of the study confirm that DCog can be a methodology of choice for studying healthcare work: nurses collaborated significantly, artefacts played a major role in coordinating activity, and the physical environment influenced activity - properties which DCog effectively supports reasoning about.

Type: Proceedings paper
Title: Distributed cognition for evaluating healthcare technology
Event: BCS-HCI '11 - Health, wealth and happiness: The 25th BCS Conference on Human-Computer Interaction
Location: Newcastle Upon Tyne, UK
Dates: 4 July - 8 July, 2011
Open access status: An open access version is available from UCL Discovery
Publisher version: http://ewic.bcs.org/category/16895
Language: English
Additional information: This is a digitized copy derived from an ACM-copyrighted or licensed work. ACM did not prepare this copy and does not guarantee that it is an accurate copy of the originally published work.
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1346102
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