Understanding health information technology adoption: A synthesis of literature from an activity perspective (original) (raw)
References
Agarwal, R., Gao, G., DesRoches, C., & Jha, A. K. (2010). The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21, 796–809. Article Google Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. Article Google Scholar
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), available from http://www.biomedcentral.com/content/pdf/1472-6947-6-3.pdf.
Anderson, J. G. (2007). Social, ethical and legal barriers to E-health. International Journal of Medical Informatics, 76(5), 480–483. Article Google Scholar
Angst, C. M., Agarwal, R., Sambamurthy, V., & Kelley, K. (2010). Social contagion and information technology diffusion: The adoption of electronic medical records in U.S. hospitals. Management Science, 56(12), 19–1241. Google Scholar
Ash, J. S., Stavri, P. Z., & Kuperman, G. J. (2003). Consensus statement on considerations for a successful CPOE implementation. Journal of the American Medical Informatics Association, 10(3), 229–234. Article Google Scholar
Ausubel, D. P. (1963). The psychology of meaningful verbal learning. Oxford: Grune & Stratton. Google Scholar
Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart and Winston. Google Scholar
Balka, E., Whitehouse, S., Coates, S. T., & Andrusiek, D. (2012). Ski hill injuries and ghost charts: Socio-technical issues in achieving e-health interoperability across jurisdictions. Information Systems Frontiers, 14(1), 19–42. Article Google Scholar
Baron, R. A., & Byrne, D. (2000). Social Psychology (9th ed.). Boston: Allyn and Bacon. Google Scholar
Bates, D. W., Teich, J. M., Lee, J., Seger, D., Kuperman, G. J., Ma’Luf, N., et al. (1999). The impact of computerized physician order entry on medication error prevention. Journal of the American Medical Informatics Association, 6(4), 313–321. Article Google Scholar
Berman, M., & Fenaughty, A. (2005). Technology and managed care: Patient benefits of telemedicine in a rural health care network. Health Economics, 14(6), 559–573. Article Google Scholar
Berner, E. S. (2007). Clinical decision support systems: Theory and practice (2nd ed.). New York: Springer. Book Google Scholar
Bhattacherjee, A., Hikmet, N., Menachemi, N., Kayhan, V., & Brooks, R. G. (2006). The differential performance effects of healthcare information technology adoption. Information Systems Management, 24(1), 5–14. Article Google Scholar
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (1999). Ucinet 5.0 for windows. Natick: Analytic Technologies. Google Scholar
Brailer, D., & Thompson, T. (2004). Health IT strategic framework. Washington, DC: Department of Health and Human Services. Google Scholar
Brooks, R. G., Menachemi, N., Burke, D., & Clawson, A. (2005). Patient safety-related information technology utilization in urban and rural hospitals. Journal of Medical Systems, 29(2), 103–109. Article Google Scholar
Cañas, A., Carff, R., Hill, G., Carvalho, M., Arguedas, M., Eskridge, T., et al. (2005). Concept maps: Integrating knowledge and information visualization. Knowledge and Information Visualization, 3426, 181–184. Google Scholar
Cañas, A. J., Hill, G., Carff, R., Suri, N., Lott, J., Gómez, G., et al. (2004). Cmaptools: A knowledge modeling and sharing environment. In In the Proceedings of the First International Conference on Concept Mapping (Pamplona, Spain), 1 (pp. 125–133). Google Scholar
Carstens, D. S., Patterson, P., Laird, R., & Preston, P. (2009). Task analysis of healthcare delivery system. Journal of Engineering and Technology Management, 6, 15–27. Article Google Scholar
Castillo, V. H., Martínez-García, A. I., & Pulido, J. R. G. (2010). A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: A systematic literature review. BMC Medical Informatics & Decision Making, 10(1), 60–76. Article Google Scholar
Chang, I., Hwang, H. G., Hung, M. C., Lin, M. H., & Yen, D. C. (2007). Factors affecting the adoption of electronic signature: Executives’ perspective of hospital information department. Decision Support Systems, 44(1), 350–359. Article Google Scholar
Choplin, R. (1992). Picture archiving and communication systems: An overview. Radiographics, 12(1), 127–129. Article Google Scholar
Coffey, J. W., Hoffman, R. R., Cañas, A. J., & Ford, K. M. (2002). A concept map-based knowledge modeling approach to expert knowledge sharing. In In the Proceedings of International Conference on Information and Knowledge Sharing (Virgin Islands) (pp. 212–217). Google Scholar
Cresswell, K., & Sheikh, A. (2009). The NHS care record service (NHS CRS): Recommendations from the literature on successful implementation and adoption. Informatics in Primary Care, 17(3), 153–160. Google Scholar
Davidson, E. J., & Chismar, W. G. (2007). The interaction of institutionally triggered and technology-triggered social structure change: An investigation of computerized physician order entry. MIS Quarterly, 31(4), 739–758. Google Scholar
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Article Google Scholar
Denzin, N. K. (1970). The research act: A theoretical introduction to sociological methods. Chicago: Aldine Publishing Company. Google Scholar
DesRoches, C. M., Campbell, E. G., Rao, S. R., Donelan, K., Ferris, T. G., Jha, A. K., et al. (2008). Electronic health records in ambulatory care—A national survey of physicians. New England Journal of Medicine, 359(1), 50–60. Article Google Scholar
Eley, R., Fallon, T., Soar, J., Buikstra, E., & Hegney, D. (2009). Barriers to use of information and computer technology by Australia’s nurses: A national survey. Journal of Clinical Nursing, 18(8), 1151–1158. Article Google Scholar
Engeström, Y. (1987). Learning by expanding: An activity-theoretical approach to developmental research. Helsinki: Orienta-konsultit. Google Scholar
Feldman, R., & Sanger, J. (2007). The text mining handbook: Advanced approaches in analyzing unstructured data. New York: Cambridge University Press. Google Scholar
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading: Addison-Wesley. Google Scholar
Ford, E. W., Menachemi, N., & Phillips, M. T. (2006). Predicting the adoption of electronic health records by physicians: When will health care be paperless. Journal of the American Medical Informatics Association, 13(1), 106–112. Article Google Scholar
Goldschmidt, P. G. (2005). HIT and MIS: Implications of health information technology and medical information systems. Communications of the ACM, 48(10), 68–74. Article Google Scholar
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236. Article Google Scholar
Grigsby, B., Brega, A. G., Bennett, R. E., Devore, P. A., Paulich, M. J., Talkington, S. G., et al. (2007). The slow pace of interactive video telemedicine adoption: The perspective of telemedicine program administrators on physician participation. Telemedicine and e-Health, 13(6), 645–656. Google Scholar
Grossman, J. M., Gerland, A., Reed, M. C., & Fahlman, C. (2007). Physicians’ experiences using commercial e-prescribing systems. Health Affairs, 26(3), 393–404. Article Google Scholar
Gunter, T. D., & Terry, N. P. (2005). The emergence of national electronic health record architectures in the United States and Australia: Models, costs, and questions. Journal of Medical Internet Research, 7(1), e3. Article Google Scholar
He, D., Yang, J., Compton, M., & Taylor, K. (2012). Authorization in cross-border eHealth systems. Information Systems Frontiers, 14, 43–55. Article Google Scholar
Hennington, A. H., & Janz, B. D. (2007). Information systems and healthcare XVI: Physician adoption of electronic medical records: Applying the UTAUT model in a healthcare context. Communications of the Association for Information Systems, 19(5), 60–80. Google Scholar
Henricks, W. H. (2011). Meaningful use of electronic health records and its relevance to laboratories and pathologists. Journal of pathology informatics, 2(1), 36–49.
Holden, R. J., & Karsh, B. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. Article Google Scholar
Hu, P. J., Chau, P., & Sheng, O. (2002). Adoption of telemedicine technology by health care organizations: an exploratory study. Journal of Organizational Computing and Electronic Commerce, 12(3), 197–221. Article Google Scholar
Hu, P. J., Chau, P., Sheng, O., & Tam, K. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91–112. Google Scholar
Jenssen, T. K., Laegreid, A., Komorowski, J., & Hovig, E. (2001). A literature network of human genes for high-throughput analysis of gene expression. Nature Genetics, 28(1), 21–28. Google Scholar
Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., et al. (2009). Use of electronic health records in U.S. hospitals. New England Journal of Medicine, 360(16), 1628–1638. Article Google Scholar
Kaplan, B. (2001a). Evaluating informatics applications–clinical decision support systems literature review. International Journal of Medical Informatics, 64(1), 15–37. Article Google Scholar
Kaplan, B. (2001b). Evaluating informatics applications–some alternative approaches: Theory, social interactionism, and call for methodological pluralism. International Journal of Medical Informatics, 64(1), 39–56. Article Google Scholar
Kifle, M., Mbarika, V., & Datta, P. (2006). Interplay of cost and adoption of tele-medicine in Sub-Saharan Africa: The case of tele-cardiology in Ethiopia. Information Systems Frontiers, 8(3), 211–223. Article Google Scholar
Kim, D., & Chang, H. (2007). Key functional characteristics in designing and operating health information websites for user satisfaction: An application of the extended technology acceptance model. International Journal of Medical Informatics, 76(11), 790–800. Article Google Scholar
Kinchin, I. M., Hay, D. B., & Adams, A. (2000). How a qualitative approach to concept map analysis can be used to aid learning by illustrating patterns of conceptual development. Educational Research, 42(1), 43–57. Article Google Scholar
Knoke, D., & Kuklinski, J. H. (1982). Network analysis. New York: Sage Publications. Google Scholar
Kukafka, R., Johnson, S. B., Linfante, A., & Allegrante, J. P. (2003). Grounding a new information technology implementation framework in behavioral science: A systematic analysis of the literature on IT use. Journal of Biomedical Informatics, 36(3), 218–227. Article Google Scholar
Kuperman, G. J., & Gibson, R. F. (2003). Computer physician order entry: benefits, costs, and issues. Annals of Internal Medicine, 139(1), 31–39. Article Google Scholar
Kutti, K. (1996). Activity theory as a potential framework for human-computer interaction. In B. A. Nardi (Ed.), Context and consciousness: Activity theory and human-computer interaction (pp. 17–44). Cambridge: MIT Press. Google Scholar
Lapointe, L., Mignerat, M., & Vedel, I. (2011). The IT productivity paradox in health: A stakeholder’s perspective. International Journal of Medical Informatics, 80(2), 102–115. Article Google Scholar
Leont’ev, A. N. (1978). Activity, consciousness and personality. Englewood Cliffs: Prentice-Hall. Google Scholar
Leont’ev, A. N. (1989). The problem of activity in the history of Soviet psychology. Soviet Psychology, 27(1), 22–39. Google Scholar
Lu, Y. C., Xiao, Y., Mills, M. E., Soeken, K., & Vaidya, V. (2006). Top barriers and facilitators to nurses’ PDA adoption. In AMIA Annual Symposium Proceedings, 2006, 1016.
Lu, Y. C., Xiao, Y., Sears, A., & Jacko, J. A. (2005). A review and a framework of handheld computer adoption in healthcare. International Journal of Medical Informatics, 74(5), 409–422. Article Google Scholar
Mansingh, G., Rao, L., Osei-Bryson, K., & Mills, A. (2013). Profiling internet banking users: A knowledge discovery in data mining process model based approach. Information Systems Frontiers. doi:10.1007/s10796-012-9397-2.
Markham, K. M., Mintzes, J. J., & Jones, M. G. (1994). The concept map as a research and evaluation tool: Further evidence of validity. Journal of Research in Science Teaching, 31(1), 91–101. Article Google Scholar
Masters, K. (2008). For what purpose and reasons do doctors use the Internet: A systematic review? International Journal of Medical Informatics, 77(1), 4–16. Article Google Scholar
Mayo-Smith, M. F., & Agrawal, A. (2007). Factors associated with improved completion of computerized clinical reminders across a large healthcare system. International Journal of Medical Informatics, 76(10), 710–716. Article Google Scholar
McAlearney, A. S., Chisolm, D. J., Schweikhart, S., Medow, M. A., & Kelleher, K. (2007). The story behind the story: Physician skepticism about relying on clinical information technologies to reduce medical errors. International Journal of Medical Informatics, 76(11), 836–842. Article Google Scholar
Menon, N. M., & Lee, B. (2000). Cost control and production performance enhancement by IT investment and regulation changes: Evidence from the healthcare industry. Decision Support Systems, 30(2), 153–169. Article Google Scholar
Menon, N. M., Lee, B., & Eldenburg, L. (2000). Productivity of information systems in the healthcare industry. Information Systems Research, 11(1), 83–92. Article Google Scholar
Miller, C. (1993). The electronic medical record: A definition and discussion. Topics in Health Information Management, 13(3), 20–29. Google Scholar
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. Article Google Scholar
Mouttham, A., Kuziemsky, C., Langayan, D., Peyton, L., & Pereir, J. (2012). Interoperable support for collaborative, mobile, and accessible health care. Information Systems Frontiers, 14(1), 73–85. Article Google Scholar
Novak, J. D., & Cañas, A. J. (2008). The theory underlying concept maps and how to construct and use them. Pensacola: Florida Institute for Human and Machine Cognition. Google Scholar
Ralston, J. D., Carrell, D., Reid, R., Anderson, M., Moran, M., & Hereford, J. (2007). Patient web services integrated with a shared medical record: Patient use and satisfaction. Journal of the American Medical Informatics Association, 14(6), 798–806. Article Google Scholar
Reardon, J. L., & Davidson, E. (2007). An organizational learning perspective on the assimilation of electronic medical records among small physician practices. European Journal of Information Systems, 16, 681–694. Article Google Scholar
Rogers, E. M. (1995). Diffusion of innovations. New York: The Free Press. Google Scholar
Sadeghi, P., Benyoucef, M., & Kuziemsky, C. (2012). A Mashup based framework for multi level healthcare interoperability. Information Systems Frontiers, 14(1), 57–72. Article Google Scholar
Shoemaker, P. J., Tankard, J. W., Jr., & Lasorsa, D. L. (2004). How to build social science theories. Thousand Oaks: Sage Publications. Google Scholar
Sittig, D. F., & Steed, W. W. (1994). Computer based physician order entry: The state of the art. Journal of the American Medical Informatics Association, 1(2), 108–123. Article Google Scholar
Snyder, R., & Fields, W. Community hospital physician adoption of a CPOE system: perceptions of readiness, usefulness, and satisfaction. In AMIA Annual Symposium Proceedings, 2007, 1117.
Sun, J. (2012). Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment. Journal of the American Society for Information Science and Technology, 63(1), 48–63. Article Google Scholar
Teoh, S. Y., Pan, S. L., & Ramchand, A. M. (2012). Resource management activities in healthcare information systems: A process perspective. Information Systems Frontiers, 14(3), 585–600. Article Google Scholar
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation (Vol. 273). Lexington: Lexington Books. Google Scholar
Tremblay, M., Berndt, D., Luther, S., Foulis, P., & French, D. (2009). Identifying fall-related injuries: Text mining the electronic medical record. Information Technology and Management, 10(4), 253–265. Article Google Scholar
Vygotsky, L. S. (1981). The instrumental method in psychology. In J. V. Wertsch (Ed.), The concept of activity in Soviet psychology (pp. 134–143). Armonk: Sharpe. Google Scholar
Ward, R., Stevens, C., Brentnall, P., & Briddon, J. (2008). The attitudes of health care staff to information technology: A comprehensive review of the research literature. Health Information & Libraries Journal, 25(2), 81–97. Article Google Scholar
Ware, H., Mullett, C. J., & Jagannathan, V. (2009). Natural language processing framework to assess clinical conditions. Journal of the American Medical Informatics Association, 16(4), 585–589. Article Google Scholar
Weber-Jahnke, J., Peyton, L., & Topaloglou, T. (2012). eHealth system interoperability. Information Systems Frontiers, 14(1), 1–3. Article Google Scholar