Abstract
Given the current pressures on healthcare delivery to be cost effective yet provide high quality, healthcare systems are turning to ICT (information communication technology) to help resolve this conundrum. Such e-health solutions range from being on one-side patient controlled to the other end of the spectrum being provider controlled. However, most agree that these solutions should not only be patient-centric but also should be analysed under the lens of theoretically informed analytical tools. One approach identified in the literature used to facilitate correct and accurate capturing of the complexities and levels of interactions in healthcare operations is to use actor-network theory (ANT).
To demonstrate the benefits and strengths of using the actor-network theory, this chapter evaluates the merits of ANT analysis for the implementation and adoption of health information systems (HIS).
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Ammenwerth, E., Iller, C., & Mahler, C. (2006). IT-adoption and the interaction of task, technology and individuals: A fit framework and a case study. BMC Medical Informatics and Decision Making, 6, 3.
André, B., Ringdal, G. I., Loge, J. H., Rannestad, T., Laerum, H., & Kaasa, S. (2008). Experiences with the implementation of computerized tools in health care units: A review article. International Journal of Human–Computer Interaction, 24(8), 753–775.
Basch, P. (2005). Electronic health records and the national health information network: Affordable, adoptable, and ready for prime time? Annals of Internal Medicine, 143(3), 227–228.
Berg, M., Aarts, J., & van der Lei, J. (2003). ICT in health care: Sociotechnical approaches. Methods of Information in Medicine, 42(4), 297–301. https://doi.org/10.1267/METH03040297.
Bloomfield, B. (1991). The role of information systems in the health service: Action at a distance and the fetish of calculation. Social Studies of Science, 21. SRC-GoogleScholar, 701–734.
Callon, M. (1986). Some elements of a sociology of translation: Domestication of the scallops and the fishermen of St. Brieuc Bay. In J Law (Ed.), Power, action and belief: A new sociology of knowledge (pp. 196–233). London: Routledge and Kegan Paul
Callon, M. (1999). Actor-network theory–the market test. Actor Network Theory and After, 47, 181–195.
Callon, M., & Law, J. (1988). Engineering and sociology in a military aircraft project: A network analysis of technological change. Social Problems, 35(3), 284–297.
Car, J., Anandan, C., Black, A., Cresswell, K., Pagliari, C., McKinstry, B., et al. (2008). The impact of eHealth on the quality & safety of healthcare: A systematic overview and synthesis of the literature, report, NHS Connecting for Health Evaluation Programme. London: Imperial College London.
Catwell, L., & Sheikh, A. (2009). Evaluating eHealth interventions: The need for continuous systemic evaluation. PLoS Medicine, 6(8), e1000126. https://doi.org/10.1371/journal.pmed.1000126
Coiera, E. (2004). Four rules for the reinvention of health care. BMJ: British Medical Journal, 328(7449), 1197–1199.
Cresswell, K., Worth, A., & Sheikh, A. (2011). Implementing and adopting electronic health record systems: How actor-network theory can support evaluation. Clinical Governance: An International Journal, 16(4), 320–336.
Cresswell, K. M., Worth, A., & Sheikh, A. (2010). Actor-network theory and its role in understanding the implementation of information technology developments in healthcare. BMC Medical Informatics and Decision Making, 10, 67.
DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A., et al. (2008). Electronic health records in ambulatory care – A national survey of physicians. New England Journal of Medicine, 359(1), 50–60. https://doi.org/10.1056/NEJMsa0802005
Doolin, B., & Lowe, A. (2002). To reveal is to critique: Actor-network theory and critical information systems research. Journal of Information Technology, 17, 69–78.
Greenhalgh, T., & Stones, R. (2010). Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory. Social science & medicine (1982), 70(9), 1285–1294.
Hall, L. M., Ferguson-Paré, M., Peter, E., White, D., Besner, J., Chisholm, A., et al. (2010). Going blank: Factors contributing to interruptions to nurses’ work and related outcomes. Journal of Nursing Management, 18(8), 1040–1047.
Harding, S. G. (2004). The feminist standpoint theory reader: Intellectual and political controversies. New York: Routledge.
Kaghan, W., & Bowker, G. (2001). Out of machine age?: Complexity, sociotechnical systems and actor network theory. Journal of Engineering and Technology Management, 18, 253–269.
Latour, B. (2005). Reassembling the social: An introduction to actor-network theory. Oxford: Oxford University Press.
Latour, B., Harbers, H., & Koenis, S. (1996). On actor-network theory: A few clarifications. Cambridge: Academic Press.
Law, J. (1991). A Sociology of monsters: Essays on power, technology, and domination. London: Routledge.
Law, J. (1999). In J. Law & J. Hassard (Eds.), After ANT: Complexity, naming and topology (pp. 1–14). Oxford: Blackwell.
Law, J. (2006). Networks, relations, cyborgs: on the social study of technology. Retrieved from http://oro.open.ac.uk/21394/
Law, J., & Callon, M. (1992). The life and death of an aircraft: A network analysis of technical change. In Shaping technology/building society: Studies in sociotechnical change (p. 360). Cambridge, MA: The MIT Press.
Law, J., & Hassard, J. (1999). Actor network theory and after. Oxford: Wiley-Blackwell.
Lorenzi, N., Kouroubali, A., Detmer, D. E., & Bloomrosen, M. (2009). How to successfully select and implement electronic health records (EHR) in small ambulatory practice settings. BMC Medical Informatics and Decision Making, 9, 15.
Lubitz, D., & Wickramasinghe, N. (2006). Healthcare and technology: The doctrine of networkcentric healthcare. International Journal of Electronic Healthcare, 2, 322–344.
McLean, C., & Hassard, J. (2004). Symmetrical absence/symmetrical absurdity: Critical notes on the production of actor-network accounts. Journal of Management Studies, 41(3), 493–519. https://doi.org/10.1111/j.1467-6486.2004.00442.x
McPhee, R. D., & Poole, M. S. (2001). Organizational structures and configurations. In The new handbook of organizational communication: Advances in theory, research and methods (pp. 503–543). Thousand Oaks: Sage.
Mitchell, V., & Nault, B. (2008). The emergence of functional knowledge in sociotechnical systems. Cambridge: Academic Press.
Mol, A. (2002). The body multiple: Ontology in medical practice. Durham/London: Duke University Press.
Monteiro, E. (2000). Actor-network theory and information infrastructure. From Control to Drift, 71–83.
Mort, M., Finch, T., & May, C. (2009). Making and unmaking telepatients: Identity and governance in new health technologies. Science, Technology & Human Values, 34(1), 9–33.
Muhammad, I., Teoh, S. Y., & Wickramasinghe, N. (2012). Why using Actor Network Theory (ANT) can help to understand the Personally Controlled Electronic Health Record (PCEHR) in Australia. International Journal of Actor-Network Theory and Technological Innovation (IJANTTI), 4(2), 44–60.
Muhammad, I., Teoh, S. Y., & Wickramasinghe, N. (2013). The need for a socio-technical analysis in e-health: The case of the PCEHR. International Journal of E-Health and Medical Communications (IJEHMC), 4(2), 65–79.
Mutch, A. (2002). Actors and networks or agents and structures: Towards a realist view of information systems. Organization, 9(3), 477.
Protti, D., & Smit, C. (2006). The Netherlands: Another European country where GPs have been using EMRs for over twenty years. Healthcare Information Management & Communications, 30(3). Available at: http://www.healthcareimc.com/bcovers/PDFS/TheNetherlands.pdf
Rydin, Y. (2010). Actor-network theory and planning theory: A response to Boelens. Planning Theory, 9, 265–268.
Singleton, V., & Michael, M. (1993). Actor-networks and ambivalence: General practitioners in the UK cervical screening programme. Social Studies of Science, 23(2), 227–264.
Tobler, N. (2008). Technology, organizational change, and the nonhuman agent: Exploratory analysis of electronic health record implementation in a small practice ambulatory care. Utah: The University of Utah.
Trudel, M. C. (2010). Challenges to personal information sharing in interorganizational settings: Learning from the Quebec Health Smart Card project. London: The University of Western Ontario.
Walsham, G. (1997). Actor-network theory and IS research: Current status and future prospects. In Information Systems and Qualitative Research: Proceedings of the IFIP TC8 WG 8.2 International Conference on Information Systems and Qualitative Research (pp. 466–481), 31st May–3rd June 1997, Philadelphia, Pennsylvania, USA.
Wickramasinghe, N., & Bali, R. K. (2009). The S’ANT imperative for realizing the vision of healthcare network centric operations. International Journal of ActorNetwork Theory and Technological Innovation IJANTTI, 1(1), 45–58.
Wickramasinghe, N., Bali, R. K., & Lehaney, B. (2009). Knowledge management primer. New York: Taylor & Francis.
Wickramasinghe, N., & Schaffer, J. (2010). Realizing value driven e-health solutions. Washington DC: IBM Centre for the Business of Government.
Wickramasinghe, N., Tatnall, A., & Goldberg, S. (2011). The advantages of mobile solutions for chronic disease management. In PACIS 2011 Proceedings. Available at: http://aisel.aisnet.org/pacis2011/214
Wickramasinghe, N., Tatnall, A., & Goldberg, S. (2012). Understanding the advantages of mobile solutions for chronic disease management: The role of ant as a rich theoretical lens. International Journal of Actor-Network Theory and Technological Innovation, 4(1), 1–12. https://doi.org/10.4018/jantti.2012010101.
Williams, R. (2007). Managing complex adaptive networks. In Proceedings of the 4th International Conference on Intellectual Capital, Knowledge Management & Organizational Learning (pp. 441–452).
Williams-Jones, B., & Graham, J. E. (2003). Actor-network theory: A tool to support ethical analysis of commercial genetic testing. New Genetics and Society, 22(3), 271–296.
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Muhammad, I., Wickramasinghe, N. (2018). Actor-Network Theory to Assist in Understanding the Implementation and Adoption of Health Information Systems. In: Wickramasinghe, N., Schaffer, J. (eds) Theories to Inform Superior Health Informatics Research and Practice. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-72287-0_14
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