• Medientyp: E-Artikel
  • Titel: Using ANT to Uncover the Full Potential of an Intelligent Operational Planning and Support Tool (IOPST) for Acute Healthcare Contexts
  • Beteiligte: Muhammad, Imran; Moghimi, Fatemeh Hoda; Taylor, Nyree J.; Redley, Bernice; Nguyen, Lemai; Stein, Malte; Kent, Bridie; Botti, Mari; Wickramasinghe, Nilmini
  • Erschienen: IGI Global, 2013
  • Erschienen in: International Journal of Actor-Network Theory and Technological Innovation
  • Sprache: Ndonga
  • DOI: 10.4018/jantti.2013040103
  • ISSN: 1942-535X; 1942-5368
  • Schlagwörter: General Medicine
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <p>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.</p>