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Introducing Information Technology in the Clinical Setting: Lessons Learned in a Trauma Center

Published online by Cambridge University Press:  10 March 2009

Guy Paré  and
Joyce J. Elam
Guy Paré
Affiliation:
École des Hautes Études Commerciales
Joyce J. Elam
Affiliation:
Florida International University
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Abstract

Using a case study methodology, we examined the implementation of a nursing flow sheet system in the trauma center of a large, not-for-profit, teaching hospital. Findings add new insights to the existing body of knowledge in the information technology and medical informatics fields. First, results reveal that the success of clinical information systems requires a proactive stance where key actors anticipate and address the challenges ahead and capitalize on opportunities. Second, empirical evidence indicates that project outcomes ultimately depend on how the implementation process is managed and what the organization and its members do with the system once it is introduced. Finally, the case at hand shows that the nature and overall quality of the implementation strategy can be largely predicted by the key actors involved in the project, given their own background, skills, interest, and level of motivation.

Type
General Essays
Information
International Journal of Technology Assessment in Health Care , Volume 14 , Issue 2 , Spring 1998 , pp. 331 - 343
Copyright
Copyright © Cambridge University Press 1998

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References

REFERENCES

1.Barki, H., Rivard, S., & Talbot, J.Toward an assessment of software development risk. Journal of Management Information Systems, 1993, 2, 203–25.CrossRefGoogle Scholar
2.Baronas, A. K., & Louis, M. R.Restoring a sense of control during implementation: How user involvement leads to system acceptance. MIS Quarterly, 1988, 1, 111–24.CrossRefGoogle Scholar
3.Benjamin, R. I., & Levinson, E. A framework for managing IT-enabled change. Sloan Management Review, 1993, 23–33.Google Scholar
4.Carr, R. L. Implementation of an administration and clinical information system for nurses. In Grobe, S. J. & Pluyter-wenting, E. S. P. (eds.), Proceedings of nursing informatics: An international overview for nursing in a technological era, 1994, 219–22.Google Scholar
5.Curran, M. A., & Curran, K. E.Determining variables to measure the impact of information systems on nursing practice. In Greens, R. A., Peterson, H. E., & Protti, D. J. (eds.), Proceedings of the 8th World Congress on Medical Informatics, 1995, 1420.Google Scholar
6.Fossum, B.A normative model for CIM implementation. Doctoral dissertation. Austin: University of Texas at Austin, 1986.Google Scholar
7.Hannah, K. J., Ball, M. J., & Edwards, M. J. A.Introduction to nursing informatics. New York: Springer Verlag, 1994.CrossRefGoogle Scholar
8.Hunsucker, J. L., & Loos, D. Transition management: An analysis of strategic considerations for effective implementation. Engineering Management International, 1989, 167–78.CrossRefGoogle Scholar
9.Keen, P. G. W., Bronsema, G. S., & Zuboff, S. Implementing common systems: One organization's experience. Systems, Objectives and Solutions, 1982, 125–42.Google Scholar
10.Leonard-Barton, D., & Deschamps, I.Managerial influence in the implementation of new technology. Management Science, 1988, 10, 1252–65.CrossRefGoogle Scholar
11.Lorenzi, N. M., & Riley, R. T.Organizational aspects of health informatics: Managing technological change, New York: Springer Verlag, 1995.CrossRefGoogle Scholar
12.Lorenzi, N. M., Riley, R. T., Ball, M. J., & Douglas, J. V. (eds.). Transforming health care through information: Case studies, New York: Springer Verlag, 1995.CrossRefGoogle Scholar
13.Lucas, H. C., Ginzberg, M. J., & Schultz, R. L.Information systems implementation: Testing a structural model, Norwood: Ablex, 1990.Google Scholar
14.Miles, M. B., & Huberman, A. M.Qualitative data analysis: An expanded sourcebook, Beverly Hills: Sage Publications, 1994.Google Scholar
15.Murakami, T., Miuea, K., Moriya, Y., et al. Construction and utilization of a nurse database. In Grobe, S. J. & Pluyter-wenting, E. S. P. (eds.), Proceedings of nursing informatics: An international overview for nursing in a technological era, 1994, 212–15.Google Scholar
16.Nagle, L. M., Shamian, J., & Catford, T. Information technology developments: Issues for nursing. In Grobe, S. J. & Pluyter-wenting, E. S. P. (eds.), Proceedings of nursing informatics: An international overview for nursing in a technological era, 1994, 3–7.Google Scholar
17.Robey, D., & Zeller, R. L. Factors affecting the success and failure of an information system for product quality. Interfaces, 1978, 70–75.CrossRefGoogle Scholar
18.Schultz, R. L., Slevin, D. P., & Pinto, J. K. Strategy and tactics in a process model of project implementation. Interfaces, 1987, 34–46.CrossRefGoogle Scholar
19.Swanson, E. B., Information system implementation: bridging the gap between design and utilization. Homewood: Irwin, 1988.Google Scholar
20.Sweeny, M. E., & Post, H. D. The collaborative approach to the development of a nursing information system environment in a medical center setting, In Grobe, S. J. & Pluyter-wenting, E. S. P. (eds.), Proceedings of nursing informatics: An international overview for nursing in a technological era, 1994, 207–11.Google Scholar
21.Yin, R. K.Case study research, design and methods. Beverly Hills: Sage Publications, 1989.Google Scholar