J Korean Soc Med Inform.  2009 Sep;15(3):265-272.

Application of the Extended Technology Acceptance Model to Picture Archiving and Communication Systems in Dental Hospitals

Affiliations
  • 1Department of Health Services Management, School of Business Administration, Kyung Hee University, Korea. hjchang@khu.ac.kr

Abstract


OBJECTIVE
With the rapid growth of picture archiving and communication systems (PACS) in the healthcare industry, this article describes the users' satisfaction with PACS by employing functional PACS features and the two concepts of perceived ease-of-use (PEOU) and perceived usefulness (PU), based on the extended technology acceptance model (TAM).
METHODS
A cross-sectional survey was conducted with dentists in 25 dental hospitals which were cluster sampled from the national registry of 132 dental hospitals. Of the 204 respondents (response rate 81.6%), the data of 159 PACS users were analyzed using the structural equation modeling method.
RESULTS
The fitted model showed significant relations between the technical components and the TAM variables, via the following three significant paths: hardware to PEOU, and software to PEOU and also to PU. Moreover, the critical path of TAM variables was observed: PEOU-->PU-->SAT. Therefore, the model produced three significant routes: hardware-->PEOU-->PU-->SAT, software-->PU-->SAT, and software-->PEOU-->PU-->SAT.
CONCLUSION
Contrary to expectations, the direct effect of PEOU on user satisfaction was not significant. The final model provided critical paths from technical components to user satisfaction, by utilizing PEOU and PU as intermediary, latent factors.

Keyword

Picture Archiving and Communication Systems; Radiology Information Systems; Satisfaction; Computer Hardware; Computer Software

MeSH Terms

Computers
Critical Pathways
Cross-Sectional Studies
Surveys and Questionnaires
Dentists
Health Care Sector
Humans
Radiology Information Systems
Software

Figure

  • Figure 1 Research model.

  • Figure 2 Preliminary structural equation model. The solid lines in the figure are statistically significant at α=0.05, while the dotted lines are not significant at α=0.05.

  • Figure 3 Fitted structural equation model. The solid lines in the figure are statistically significant at α=0.05.


Reference

2. Available at: http://www.himss.org/foundation/docs/2007AnnualReport.pdf. Accessed July 27, 2009.
3. Wang KH. Survey on hospital information systems and their influencing factors in Korea [MPH thesis]. 2005. Seoul (Korea): Yonsei University;1–68.
4. Park KH. Study of domestic dental hospital and clinic's Information system usage state and future governmental policy [MPH thesis]. 2005. Seoul (Korea): Yonsei University;1–121.
5. Dreyer KJ, Mehta A, Thrall JH. PACS: a guide to the digital revolution. 2002. New York (NY): Springer-Verlag;4–5.
6. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989. 13(3):318–340.
Article
7. Davis FD. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int J Man Mach Stud. 1993. 38(3):475–487.
Article
8. Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989. 35(8):982–1003.
Article
9. Davis FD, Venkatesh V. A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Int J Man Mach Stud. 1996. 45(1):19–46.
Article
10. Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: an Introduction to Theory and Research. 1975. Reading (MA): Addison-Wesley;311–315.
11. Venkatesh A, Davis FD. A model of the antecedents of perceived ease of use: development and test. Decis Sci. 1996. 27(3):451–481.
Article
12. Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull. 1988. 103(3):411–423.
Article
13. Kim D, Chang H. Key functional characteristics in designing and operating health information websites for user satisfaction: an application of the extended technology acceptance model. Int J Med Inform. 2007. 76(12):790–800.
Article
14. Chang P, Hsu YS, Tzeng YM, Sang YY, Hou IC, Kao WF. The development of intelligent, triage-based, mass-gathering emergency medical service PDA support systems. J Nurs Res. 2004. 12(3):227–236.
Article
15. Chang P, Hsu YS, Tzeng YM, Hou IC, Sang YY. Development and pilot evaluation of user acceptance of advanced mass-gathering emergency medical services PDA support systems. Medinfo. 2004. 11(2):1421–1425.
16. Barker DJ, van Schaik P, Simpson DS, Corbett WA. Evaluating a spoken dialogue system for recording clinical observations during an endoscopic examination. Med Inform Internet Med. 2003. 28(2):85–97.
Article
17. Chismar WG, Wiley-Patton S. Test of the technology acceptance model for the internet in pediatrics. 2002. San Antonio (Texas): Proc AMIA Symp;155–159.
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