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Journal of Medical Systems
Published in: Journal of Medical Systems 3/2012

01-06-2012 | ORIGINAL PAPER

Critical Factors Influencing Hospitals’ Adoption of HL7 Version 2 Standards: An Empirical Investigation

Authors: Chi-Hung Lin, I-Chun Lin, Jin-Sheng Roan, Jehn-Shan Yeh

Published in: Journal of Medical Systems | Issue 3/2012

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Abstract

Industry predictions focus on future e-hospitals that will integrate all stakeholders into a seamless network, allowing data to be shared. The Health Level Seven (HL7) is a standard for the interchange of data within the healthcare industry. It simplifies communication interfaces and allows the interoperability among heterogeneous applications. Although the benefits of adopting HL7 are well known, only a few hospitals in Taiwan have actually adopted it. What are the reasons behind the hospitals’ lack of intention to adopt HL7? Most prior studies on HL7 have focused on technical issues and general overlooked the managerial side. This has caused a lack of understanding of factors influencing hospitals’ decision on HL7 adoption. In fact, main reasons behind a hospital’s decision on whether to adopt an innovative technology are more often related to organizational than purely technical issues. Hence, we pay our attention to these organizational considerations over HL7 adoption. Based on the Innovation Diffusion Theory, we proposed a research model to explore the critical factors influencing Taiwan hospitals’ adoption intention of HL7. 472 questionnaires were distributed to all accredited hospitals in Taiwan and 122 were returned. The valid response rate was 25.21% (119). Factor analysis, logistic regression and Pearson Chi-square test were conducted to verify the research model. The results showed that environmental pressure, top management attitude towards HL7, staff’s technology capability, system integrity, and hospital’s scale were critical factors influencing hospitals’ intention on whether to adopt HL7. The research findings provided the government, the healthcare industry, the hospital administrators and the academia with practical and theoretical references. These factors should be considered in planning promotion plan to encourage hospital adoption of HL7. This study also opens up a new research direction as well as a new viewpoint, and consequentially improves the completeness of related researches in the medical informatics discipline.
Literature
1.
2.
3.
Bates, D. W., Ebell, M., Gotlieb, E., Zapp, J., and Mullins, H. C., A proposal for electronic medical records in US primary care. J. Am. Med. Inform. Assoc. 10(1):1–10, 2003. doi:10.​1197/​jamia.​M1097.CrossRef
4.
5.
6.
7.
Ptochos, D., Panopoulos, D., Metaxiotis, K., Askounis, D., and Psarras, J., Using internet GIS technology for early warning, response and controlling the quality of the public health sector. Int. J. Electron. Healthc. 1(1):78–101, 2004. doi:10.​1504/​IJEH.​2004.​004661.CrossRef
8.
9.
Blobel, B., and Holena, M., Stud. Health Technol. Inform. 45:40–47, 1997. PubMed ID 10175370.
10.
11.
Blobel, B., Object-oriented middleware architectures-trends for distributed health information systems. Bulletin SSIM-SGMI 34:4–8, 1997.
12.
13.
14.
Lin, I. C., Hou, Y. H., Huang, H. L., Chu, T. P., and Chang, R. E., Managing nursing assistants with a web-based system: An empirical investigation of the mixed-staff strategy. J. Med. Syst. 34:341–348, 2010. doi:10.​1007/​s10916-008-9246-5.CrossRef
15.
16.
17.
Fichman, R. G., Going beyond the dominant paradigm for information technology innovation research: Emerging concepts and methods. J. Assoc. Inf. Syst. 5(8):314–355, 2004.
18.
Kimberly, J. R., and Evanisko, M. J., Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Acad. Manage. J. 24(4):689–713, 1981. PubMed ID 10253688.CrossRef
19.
Thong, J. Y. L., An integrated model of information systems adoption in small businesses. J. Manage. Inform. Syst. 15(4):187–214, 1999.
20.
Rogers, E. M., Diffusion of innovations. Free, New York, 1983.
21.
22.
Rogers, E. M., Diffusion of innovations (5th ed). Free, New York, 2003.
23.
24.
Grover, V., and Goslar, M. D., The initiation, adoption, and implementation of telecommunications technologies in U.S. organizations. J. Manage. Inf. Syst. 10(1):141–163, 1993.
25.
Moore, G. C., and Benbasat, I., Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3):192–222, 1991.CrossRef
26.
Chau, P. Y. K., and Tam, K. Y., Factors affecting the adoption of open systems: an exploratory study. MIS Q 21(1):1–24, 1997.CrossRef
27.
Iacovou, C. L., Benbasat, I., and Dexter, A. S., Electronic data interchange and small organizations: adoption and impact of technology. MIS Q 19(4):465–485, 1995.CrossRef
28.
29.
Tornatzky, L. G., and Klein, K. J., Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Trans. Eng. Manage. 29(1):28–45, 1982.
30.
O’Callaghan, R., Kaufmann, P. J., and Konsynski, B. R., Adoption correlates and share effects of electronic data interchange systems in marketing channels. J. Mark. 56(2):45–56, 1992.CrossRef
31.
32.
Moon, M. J., and Bretschneider, S., Can state government actions affect innovation and its diffusion?: An extended communication model and empirical test. Technol. Forecast. Soc. Change. 54(1):57–77, 1997. doi:10.​1016/​S0040-1625(96)00121-7.CrossRef
33.
Soliman, K. S., and Janz, B. D., An exploratory study to identify the critical factors affecting the decision to establish Internet-based interorganizational information systems. Inf. Manage. 41(6):697–706, 2004. doi:10.​1016/​j.​im.​2003.​06.​001.CrossRef
34.
35.
36.
37.
38.
39.
40.
Premkumar, G., Ramamurthy, K., and Nilakanta, S., Implementation of electronic data interchange: An innovation diffusion perspective. J. Manage. Inf. Syst. 11:157–187, 1994.
41.
Johnston, H. R., and Vitale, M. R., Creating competitive advantage with interorganizational information systems. MIS Q 12(2):153–165, 1988.CrossRef
42.
Angeles, R., Corritore, C. L., Basu, S. C., and Nath, R., Success factors for domestic and international electronic data interchange (EDI) implementation for US firms. Int. J. Inf. Manag. 21:329–347, 2001. doi:10.​1016/​S0268-4012(01)00028-7.CrossRef
43.
Susarla, A., Barua, A., and Whinston, A. B., Understanding the service component of application service provision: An empirical analysis of satisfaction with ASP services. MIS Q 27(1):91–123, 2003.
44.
45.
Armstrong, J. S., and Overton, T. S., Estimating nonresponse bias in mail surveys. J. Mark. Res. 14(3):396–402, 1977.CrossRef
46.
47.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L., Multivariate data analysis (6th ed). Pearson Prentice-Hall, 2006.
48.
Sobol, M. G., Alverson, M., and Lei, D., Barriers to the adoption of computerized technology in health care systems. Top. Health Inf. Manage. 19(4):1–19, 1999.
49.
50.
51.
Metadata
Title
Critical Factors Influencing Hospitals’ Adoption of HL7 Version 2 Standards: An Empirical Investigation
Authors
Chi-Hung Lin
I-Chun Lin
Jin-Sheng Roan
Jehn-Shan Yeh
Publication date
01-06-2012
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 3/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-010-9580-2

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