The University of Southampton
University of Southampton Institutional Repository

Interventional STS: A framework for developing workable technologies

Interventional STS: A framework for developing workable technologies
Interventional STS: A framework for developing workable technologies
Technological innovation is often positioned as a solution to the challenges of healthcare provision, yet the experience of bringing new technologies into practice has proven uneven and unpredictable. To realise the potential benefits of innovation, we need to understand the complex relations between contingencies and contexts that seem to be ubiquitous as new technologies are brought into play in healthcare settings. This article explores what the field of Science and Technology Studies (STS) can contribute to the understanding of implementation processes, arguing that combining Actor–Network Theory and Normalisation Process Theory provides a framework for prospective research. Drawing on examples from a prospective study of a new point-of-care test illustrates how the framework enabled an understanding of the processes likely to be involved in its implementation within three healthcare settings, with implications for the continued technical development. In combination, the theories enable different levels of analysis, but it is by keeping them in tension that this approach becomes practically applicable. If we are to rely on innovation to achieve improvements in healthcare provision, we need to find a way to intervene in the implementation process, and STS offer the resources to achieve this.
ANT, NPT, healthcare, innovation, interventional STS, prospective research, technology, workable technology
1360-7804
1-17
Lyle, Kate
ff88e501-884c-423a-8050-f915fc19f0a8
Lyle, Kate
ff88e501-884c-423a-8050-f915fc19f0a8

Lyle, Kate (2020) Interventional STS: A framework for developing workable technologies. Sociological Research Online, 1-17. (doi:10.1177/1360780420915723).

Record type: Article

Abstract

Technological innovation is often positioned as a solution to the challenges of healthcare provision, yet the experience of bringing new technologies into practice has proven uneven and unpredictable. To realise the potential benefits of innovation, we need to understand the complex relations between contingencies and contexts that seem to be ubiquitous as new technologies are brought into play in healthcare settings. This article explores what the field of Science and Technology Studies (STS) can contribute to the understanding of implementation processes, arguing that combining Actor–Network Theory and Normalisation Process Theory provides a framework for prospective research. Drawing on examples from a prospective study of a new point-of-care test illustrates how the framework enabled an understanding of the processes likely to be involved in its implementation within three healthcare settings, with implications for the continued technical development. In combination, the theories enable different levels of analysis, but it is by keeping them in tension that this approach becomes practically applicable. If we are to rely on innovation to achieve improvements in healthcare provision, we need to find a way to intervene in the implementation process, and STS offer the resources to achieve this.

This record has no associated files available for download.

More information

Accepted/In Press date: 5 March 2020
e-pub ahead of print date: 8 May 2020
Additional Information: Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research on which this article is based was undertaken as part of a PhD funded by the Engineering and Physical Sciences Research Council. Publisher Copyright: © The Author(s) 2020.
Keywords: ANT, NPT, healthcare, innovation, interventional STS, prospective research, technology, workable technology

Identifiers

Local EPrints ID: 444541
URI: http://eprints.soton.ac.uk/id/eprint/444541
ISSN: 1360-7804
PURE UUID: 082873c8-2707-4be2-bbd4-ae19c90504b8

Catalogue record

Date deposited: 23 Oct 2020 16:32
Last modified: 16 Mar 2024 09:31

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×