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Knowledge transfer for technology based interventions: Collaboration, development and evaluation

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

McCullagh, PJ, Mountain, GA, Black, Norman, Nugent, CD, Zheng, H, Davies, RJ, Galway, Leo, Hawley, MS, Mawson, SJ, Wright, P, Ecclesone, C, Nasr, N and Parker, SJ (2012) Knowledge transfer for technology based interventions: Collaboration, development and evaluation. Technology and Disability, 24 (3). pp. 233-243. [Journal article]

Full text not available from this repository.

DOI: 10.3233/TAD-2012-0349

Abstract

The development of technology based interventions for healthcare requires collaborative working between multidisciplinary groups of scientists, engineers, designers, healthcare professionals, and of course end users. This necessitates transfer of knowledge between the various disciplines, preferably underpinned by defined methodologies. This paper documents the experiences of developing and evaluating two prototypes: the first for tele-rehabilitation of stroke and the second for self management of long term conditions. We have identified two knowledge transfer challenges: domain inspired technology development and prototype evaluation and exploitation. Users should influence the nature of the technology, but decisions must also be informed by technical considerations and possibilities for both hardware and software design. This is a two-way flow of information. How a prototype is taken forward into mainstream practice requires knowledge transfer from academia into the clinical and commercial sectors. Research funding enables both formative and summative prototype evaluation, but does not extend to examination of population based effectiveness, which is the evidence most often sought by health commissioners. A process which provides the necessary underpinning for robust evaluation is proposed.

Item Type:Journal article
Keywords:self management, telerehabilitation, long term conditions, knowledge transfer
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:23278
Deposited By:Dr Paul McCullagh
Deposited On:14 Sep 2012 14:00
Last Modified:14 Sep 2012 14:00

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