Abstract
e-health constitutes the use of digitally enabled technologies to facilitate the exchange of clinical, administrative, and transactional healthcare data ubiquitously and has the potential to offer enormous value to all actors operating in healthcare. Delivering healthcare benefits by way of e-health solutions, however, remains an elusive goal for e-health entrepreneurs. The inherent complexity of modern healthcare settings has much to answer for this. In attempts to improve current understanding, this chapter argues how e-health research can be enhanced using actor–network theory (ANT) as an appropriate and powerful tool that can enable researchers to “follow the actors” and, in the process, tackle the underlying complexities of modern healthcare environments.
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References
Aaker, D. A., & Day, G. S. (1990). Marketing research (4th ed.). New York: Wiley.
Akrich, M. (1992). The de-scription of technical objects. In W. E. Bijker & J. Law (Eds.), Shaping technology/building society: Studies in sociotechnical change (pp. 205–224). Cambridge: MIT Press.
Allen, J. P. (2004). Redefining the network: Enrollment strategies in the PDA industry. Information Technology & People, 7(2), 171–185.
Anderson, J. G. (1997). Clearing the way for physicians’ use of clinical information systems. Communications of the ACM, 40(8), 83–90.
Atkinson, C. J. (2000). The ‘soft information systems and technologies methodology’ (SISTeM): Actor network contingency approach to integrated development. European Journal of Information Systems, 9(2), 104–123.
Bangert, D., & Doktor, R. (2003). The role of organizational culture in the management of clinical e-health systems. Proceedings of Hawaii International Conference of Systems Sciences (pp. 163–171). Big Island: Computer Society Press.
Bate, P., & Robert, G. (2002). Studying health care “quality” qualitatively: The dilemmas and tensions between different forms of evaluation research within the U.K. National Health Service. Qualitative Health Research, 12(7), 91–96.
Benbasat, I., & Zmud, R. W. (2003). The identity crisis within the IS discipline: Defining and communicating the discipline’s core properties. MIS Quarterly, 27(2), 183–194.
Bijker, W. E., Hughes, T. P., & Pinch, T. J. (1987). The social construction of technological systems. Cambridge: MIT Press.
Bowker, G., & Star, L. (1999). Sorting things out: Classification and its consequences. Cambridge: MIT Press.
Broer, T., Nieboer, A. P., & Bal, R. A. (2010). Opening the black box of quality improvement collaboratives: An actor-network theory approach. BMC Health Services Research, 10, 1–9.
Callon, M. (1986a). The sociology of an actor-network: The case of the electric vehicle. In M. Callon, J. Law, & A. Rip (Eds.), Mapping the dynamics of science and technology (pp. 19–34). London: Macmillan.
Callon, M. (1986b). Some elements of sociology translation: Domestication of the scallops and the fishermen of St Brieuc Bay. In J. Law (Ed.), Power, action & belief. A new sociology of knowledge? (pp. 196–229). London: Routledge, Kegan Paul.
Callon, M. (1991). Techno-economic network and irreversability. In J. Law (Ed.), A sociology of monsters. Essays on power, technology and domination (pp. 132–164). London: Routledge.
Callon, M., & Latour, B. (1981). Unscrewing the Big Leviathan: How actors macrostructure reality and how sociologists help them to do so. In K. D. Knorr-Cetina & A. V. Cicourel (Eds.), Advances in social theory and methodology: Toward an integration of micro- and macro-sociologies (pp. 277–303). Boston: Routledge, Kegan Paul.
Chiasson, M., & Davidson, E. (2004). Pushing the contextual envelope: Developing and diffusing IS theory for health information systems research. Information and Organization, 14(3), 155–188.
Chiasson, M., & Davidson, E. (2005). Taking industry seriously in information systems research. MIS Quarterly, 29(4), 591–605.
Cho, S., Mathiassen, L., & Nilsson, A. (2008). Contextual dynamics during health information systems implementation: An event-based actor-network approach. European Journal of Information Systems, 17(6), 614–630.
Collins, H., & Yearley, S. (1992). Epitemological chicken. In A. Pickering (Ed.), Science, practice and culture. Chicago: University of Chicago Press.
Constantinides, P., & Barrett, M. (2006). Negotiating ICT development and use: The case of a telemedicine system in the healthcare region of Crete. Information and Organization, 16(1), 27–55.
Cresswell, K. M. (2010). Actor-network theory and its role in understanding the implementation of information technology developments in healthcare. BMC Medical Informatics & Decision Making, 10(67), 1–11.
Davidson, E. (2000). Analyzing genre of organizational communication in clinical information systems. Information Technology & People, 13(3), 196–209.
Denis, J.-L., Langley, A., & Rouleau, L. (2007). Strategizing in pluralistic contexts: Rethinking theoretical frames. Human Relations, 60(1), 179–215.
Faraj, S., Kwon, D., & Watts, S. (2004). Contested artifact: Technology sensemaking, actor networks, and the shaping of the web browser. Information Technology & People, 17(2), 186–209.
Fraser, S. W., & Greenhalgh, T. (2001). Complexity science: Coping with complexity: Educating for capability. British Medical Journal, 323(7316), 799–804.
Garabaldi, R. (1998). Computers and the quality of care-a clinician’s perspective. New England Journal of Medicine, 338(4), 232–238.
Garud, R., & Rappa, M. A. (1994). A socio-cognitive model of technology evolution: The case of cochlear implants. Organization Science, 5(3), 344–362.
Greenhalgh, T., & Stones, R. (2010). Theorising bit IT programmes in healthcare: Strong structuration theory meets actor-network theory. Social Science & Medicine, 70(9), 1285–1294.
Ha, K., & Lee, J.,(2008). U-health and regulatory implications in Korea. Proceedings of Portland International Center for Management of Engineering and Technology (PICMET 2008) (pp. 351–355). Cape Town: IEEE.
Hanseth, O., & Monteiro, E. (1997). Inscribing behavior in information infrastructure standards. Accounting, Management & Information Technology, 7(4), 183–211.
Hanseth, O., Aanestad, M., & Berg, M. (2004). Actor-network theory and information systems. What’s so special? Information Technology & People, 17(2), 116–123.
Kaplan, B. (2001). Evaluating informatics applications-social interactionalism and call for methodological pluralism. International Journal of Medical Informatics, 64(1), 39–56.
Lane, D., & Maxfield, R. (1996). Strategy under complexity: Fostering generative relationships. Long Range Planning, 29(2), 215–231.
Latour, B. (1987a). Science in action. Cambridge: Harvard University Press.
Latour, B. (1987b). Science in action: How to follow scientists and engineers through society. Cambridge: Harvard University Press.
Latour, B. (1999a). On recalling ANT. In J. Law & J. Hassard (Eds.), Actor network theory and after. Oxford: Blackwell, Sociological Review.
Latour, B. (1999b). Pandora’s hope: Essays on the reality of science studies. Cambridge: Harvard University Press.
Latour, B. (2005). Reassembling the social: An introduction to actor-network theory. Oxford: Oxford University Press.
Law, J. (1987). Technolong and heterogenous engineering: The case of Portugese expansion. In W. E. Bijker, T. P. Hughes, & T. J. Pinch (Eds.), The social construction of technological systems: New directions in the sociology and history of technology (pp. 111–134). Cambridge: MIT Press.
Law, J. (1991). Introduction. In J. Law (Ed.), A sociology of monsters: Essays on power, technology, and domination. London: Routledge.
Law, J., & Hassard, J. (1999). Actor network theory and after. Oxford: Blackwell.
Lee, H., & Oh, S. (2006). A standards war waged by a developing country: Understanding international standard setting from the actor-network perspective. Journal of Strategic Information Systems, 15(3), 177–195.
Lorenzi, N. M., Riley, R. T., Blyth, A. J. C., Southon, G., & Dixon, B. J. (1997). Antecedents of the people and organizational aspects of medical informatics. Journal of American Medical Association (JAMA), 4(2), 79–83.
Lorenzi, N. M., Riley, R. T., Blyth, A. J. C., Southon, G., & Dixon, B. J. (1998). People and organizational aspects of medical informatics. In B. Cesnik, A. T. Mccray, & J. R. Scherrer (Eds.), MEDINFO ’98 Proceedings of the Ninth World Congress on Medical Informatics (pp. 1197–1200). Seoul: IOS Press.
Mähring, M., Holmström, J., Keil, M., & Montealegre, R. (2004). Trojan actor-networks and swift translation: Bringing actor-network theory to IT project escalation studies. Information Technology & People, 17(2), 210–238.
Massaro, T. (1993). Introducing physician order entry at a major academic medical center: Impact on organizational culture and behavior. Academic Medicine, 68(1), 20–35.
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.
Mcloughlin, I. (1999). Creative technological change: The shaping of technology and organisations. London: Routledge.
Menon, N. M., Lee, B., & Eldenburg, L. (2000). Productivity of information systems in the healthcare industry. Information Systems Research, 11(1), 83–92.
Miller, P. (1996). The multiplying machine. Accounting, Organizations and Society, 21(7/8), 615–630.
Mol, A. (1998). Ontological politics. A word and some questions. The Sociological Review, 46(S), 74–89.
Pels, D. (1995). The politics of symmetry. Social Studies of Science, 26(2), 277–304.
Plsek, P. E., & Greenhalgh, T. (2001). Complexity science: The challenge of complexity in health care. British Medical Journal, 323(7313), 625–628.
Plsek, P. E., & Wilson, T. (2001). Complexity science: Complexity, leadership, and management in healthcare organisations. British Medical Journal, 323(7315), 746–749.
Ramiller, N. C. (2005). Applying the sociology of translation to a system project in a lagging enterprise. Journal of Information Technology Theory and Application, 7(1), 51–76.
Ramiller, N. C. (2007). Constructing safety: System designs, system effects, and the play of heterogeneous interests in a behavioral health care setting. International Journal of Medical Informatics, 76S(Suppl. 1), S196--S204.
Robert, G., Greenhalgh, T., Macfarlane, F., & Peacock, R. (2010). Adopting and assimilating new non-pharmaceutical technologies into health care: A systematic review. Journal of Health Services Research and Policy, 15(4), 243–250.
Rodon, J., Pastor, J. A., Sese, F., & Christiaanse, E. (2008). Unravelling the dynamics of IOIS implementation: An actor-network study of an IOIS in the seaport of Barcelona. Journal of Information Technology, 23, 97–108.
Rose, J., Jones, M., & Truex, D. (2005). Socio-theoretic accounts of IS: The problems of agency. Scandinavian Journal of Information Systems, 17(1), 133–152.
Schriger, D., Baraff, L., Rogers, W., & Cretin, L. (1997). Implementation of clinical guidelines using a computer charting systems. The Journal of the American Medical Association, 278, 1585–1590.
Sohn, M., & Lee, J. (2007). U-health in Korea: Opportunities and challenges. Proceedings of Portland International Center for Management of Engineering and Technology (PICMET 2007) (pp. 2791–2794). Oregon: IEEE.
Steen, J. (2010). Actor-network theory and the dilemma of the resource concept in strategic management. Scandinavian Journal of Management, 26(3), 324–331.
Timpka, T., Bång, M., Delbanco, T., & Walker, J. (2007). Information infrastructure for inter-organizational mental health services: An actor-network theory analysis of psychiatric rehabilitation. Journal of Biomedical Informatics, 40(4), 429–437.
Troshani, I., & Lymer, A. (2010). Translation in XBRL standardization. Information Technology & People, 23(2), 136–164.
Walsham, G. (1997). Actor-network and IS research: Current status and future prospects. In A. S. Lee, J. Liebenau, & J. I. Degross, (Eds.), Information systems and qualitative research (pp. 466–480). London: Chapman & Hall.
Wickramasinghe, N., Bali, R. K., & Tatnall, A. (2007). Using actor network theory to understand network centric healthcare operations. International Journal of Electronic Healthcare, 3(3), 317–328.
Wilson, T., & Holt, T. (2001). Complexity science: Complexity and clinical care. British Medical Journal, 323(7314), 685–688.
Winner, L. (1993). Upon opening the black box and finding it empty: Social constructivism and the philosophy of technology. Science, Technology and Human Values, 18(3), 362–378.
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Troshani, I. (2013). e-Health Complexity and Actor–Network Theory. In: Bali, R., Troshani, I., Goldberg, S., Wickramasinghe, N. (eds) Pervasive Health Knowledge Management. Healthcare Delivery in the Information Age. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4514-2_5
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