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IT Adoption and Evaluation in Healthcare: Evolutions and Insights in Theory, Methodology, and Practice

IT Adoption and Evaluation in Healthcare: Evolutions and Insights in Theory, Methodology, and Practice

Ton AM Spil, Cynthia LeRouge, Ken Trimmer, Carla Wiggins
Copyright: © 2010 |Pages: 28
ISBN13: 9781605669885|ISBN10: 1605669881|EISBN13: 9781605669892
DOI: 10.4018/978-1-60566-988-5.ch007
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MLA

AM Spil, Ton, et al. "IT Adoption and Evaluation in Healthcare: Evolutions and Insights in Theory, Methodology, and Practice." Health Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Joel J.P.C. Rodrigues, IGI Global, 2010, pp. 89-116. https://doi.org/10.4018/978-1-60566-988-5.ch007

APA

AM Spil, T., LeRouge, C., Trimmer, K., & Wiggins, C. (2010). IT Adoption and Evaluation in Healthcare: Evolutions and Insights in Theory, Methodology, and Practice. In J. Rodrigues (Ed.), Health Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 89-116). IGI Global. https://doi.org/10.4018/978-1-60566-988-5.ch007

Chicago

AM Spil, Ton, et al. "IT Adoption and Evaluation in Healthcare: Evolutions and Insights in Theory, Methodology, and Practice." In Health Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Joel J.P.C. Rodrigues, 89-116. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-988-5.ch007

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Abstract

This article focuses on the evolution of theory, methodology, and practice regarding the role of adoption, implementation, diffusion, and evaluation factors, and the interaction of these factors at various levels, to healthcare system success. These topics continue to present challenges to organizations, the research community, and to society in general. The first place that new waves of thought are often aired is at conferences. This article explores the evolution taking place in this domain by looking back through the years over work presented at the longest standing conference track focused on adoption, implementation, diffusion, and evaluation factors in e-health and the interaction of these factors at various levels to healthcare system success.

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