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Developing a User Centered Model for Ubiquitous Healthcare System Implementation: An Empirical Study

Developing a User Centered Model for Ubiquitous Healthcare System Implementation: An Empirical Study

Jongtae Yu (Mississippi State University, USA), Chengqi Guo (Mississippi State University, USA), and Mincheol Kim (Cheju National University, South Korea)
Copyright: © 2008 |Volume: 3 |Issue: 3 |Pages: 19
ISSN: 1555-3396|EISSN: 1555-340X|ISSN: 1555-3396|EISBN13: 9781615202928|EISSN: 1555-340X|DOI: 10.4018/jhisi.2008070104
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MLA

Yu, Jongtae, et al. "Developing a User Centered Model for Ubiquitous Healthcare System Implementation: An Empirical Study." IJHISI vol.3, no.3 2008: pp.58-76. https://doi.org/10.4018/jhisi.2008070104

APA

Yu, J., Guo, C., & Kim, M. (2008). Developing a User Centered Model for Ubiquitous Healthcare System Implementation: An Empirical Study. International Journal of Healthcare Information Systems and Informatics (IJHISI), 3(3), 58-76. https://doi.org/10.4018/jhisi.2008070104

Chicago

Yu, Jongtae, Chengqi Guo, and Mincheol Kim. "Developing a User Centered Model for Ubiquitous Healthcare System Implementation: An Empirical Study," International Journal of Healthcare Information Systems and Informatics (IJHISI) 3, no.3: 58-76. https://doi.org/10.4018/jhisi.2008070104

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Abstract

In the advent of pervasive computing technologies, the ubiquitous healthcare information system, or u-health system, has emerged as an innovative avenue for many healthcare management issues. Drawing upon practices in healthcare industry and conceptual developments in information systems research, this article aims to explain the latent relationships amongst user-oriented factors that lead to individual’s adoption of the new technology. Specifically, this study focuses on the introduction of chronic disease u-health system. Using the ordinary line square (OLS) regression analysis, we are able to discover the insights concerning which constructs affect service subscriber’s behavioral intention of use. Based on the data collected from over 440 respondents, empirical evidences are presented to support that factors such as medical conditions, perceived need, consumer behavior, and effort expectancy significantly influence the formation of usage intention.

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