An empirical study of physicians' acceptance of hospital information systems in Taiwan

Telemedicine and e-Health

Volumn 18, Issue 2, 2012, Pages 120-125

  Chen, Rai Fu ^a   Hsiao, Ju Ling ^a  

^a CHIA NAN UNIVERSITY OF PHARMACY AND SCIENCE   (Taiwan)

Author keywords

hospital information systems; physician attitude; technology acceptance model

Indexed keywords

EMPIRICAL STUDIES; HOSPITAL INFORMATION SYSTEMS; INFORMATION QUALITY; KEY FACTORS; PARTIAL LEAST SQUARE (PLS); PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; PHYSICIAN ATTITUDES; REFERENCE MATERIAL; RESPONSE RATE; SERVICE QUALITY; SURVEY RESEARCH; SYSTEM QUALITY; TECHNOLOGY ACCEPTANCE MODEL;

INFORMATION ANALYSIS; INFORMATION SYSTEMS; QUALITY OF SERVICE; SURVEYS;

HOSPITALS;

ADULT; ARTICLE; ATTITUDE TO DEATH; EMPIRICAL RESEARCH; FEMALE; HEALTH CARE SURVEY; HEALTH PERSONNEL ATTITUDE; HOSPITAL INFORMATION SYSTEM; HUMAN; MALE; MIDDLE AGED; NONBIOLOGICAL MODEL; ORGANIZATION AND MANAGEMENT; PERCEPTION; PHYSICIAN; PSYCHOLOGICAL ASPECT; REPRODUCIBILITY; RISK FACTOR; STATISTICS; TAIWAN;

ADULT; ATTITUDE OF HEALTH PERSONNEL; ATTITUDE TO DEATH; EMPIRICAL RESEARCH; FEMALE; HEALTH CARE SURVEYS; HOSPITAL INFORMATION SYSTEMS; HUMANS; MALE; MIDDLE AGED; MODELS, ORGANIZATIONAL; PERCEPTION; PHYSICIANS; REPRODUCIBILITY OF RESULTS; RISK FACTORS; STATISTICS AS TOPIC; TAIWAN;

EID: 84857828452     PISSN: 15305627     EISSN: 15563669     Source Type: Journal    
DOI: 10.1089/tmj.2011.0081     Document Type: Article

References (38)

1. Haux R, Winter A, Ammenwerth E, Brigl B. Strategic information management in hospitals: An introduction to hospital information systems. New York: Springer, 2003.
2. Haux R. Health information system-past, present, future. Int J Med Inform 2006;75:268-281.
3. Department of Health of Taiwan. The investigation of the current status of computerized medical record in hospitals of Taiwan. Taipei, Taiwan: Department of Health, 2005:39-48.
4. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 1989;13:319-340.
5. Lee Y, Kozar KA, Larsen KRT. The technology acceptance model: Past, present, and future. Commun AIS 2003;12:752-780.
6. Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: A comparison of two theoretical models. Manage Sci 1989;35:982-1003.
7. Zhang HY, Cocosila M, Archer N. Factors of adoption of mobile information technology by homecare nurses: A technology acceptance model 2 approach. CIN Comput Inform Nurs 2010;28:49-56.
8. Chau PYK, Hu PJ. Information technology acceptance by professionals: A model comparison approach. Decision Sci 2001;23:699-719.
9. Chau PYK, Hu PJ. Examining a model of information technology acceptance by individual professionals: An exploratory study. J Manage Inform Syst 2002;18:191-229.
10. Chau PYK, Hu PJ. Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories. Inform Manage 2002;39:297-311.
11. Dixon DR, Stewart M. Exploring information technology adoption by family physicians: Survey instrument validation. AMIA 2000 Annual Symposium, Session S69-Current Issues in Medical Informatics Edition. Los Angeles: American Medical Informatics Association, 2000:185-189.
12. Hu PJ, Chau PYK, Sheng ORL, Tam KY. Examining the technology acceptance model using physician acceptance of telemedicine technology. J Manage Inform Syst 1999;16:91-112.
13. Pare G, Sicotte C, Jacques H. The effects of creating psychological ownership on physicians' acceptance of clinical information systems. J Am Med Inform Assoc 2006;13:197-205.
14. Yi, MY, Jackson JD, Park JS, Probst JC. Understanding information technology acceptance by individual professionals: Toward an integrative view. Inform Manage 2006;43:350-363.
15. Schectman JM, Schorling JB, Nadkarni MM, Voss JD. Determinants of physician use of an ambulatory prescription expert system. Int J Med Inform 2005;74:711-717.
16. Yarbrough AK, Smith TB. Technology acceptance among physicians: A new take on TAM. Med Care Res Rev 2007;64:650-672.
17. DeLone WH, McLean ER. The DeLone and McLean model of information systems success: A ten-year update. J Manage Inform Syst 2003;19:9-30.
18. Wixom BH, Todd PA. A theoretical integration of user satisfaction and technology acceptance. Inform Syst Res 2005;16:85-102.
19. Etezadi-Amoli J, Farhoomand AF. A structural model of end user computing satisfaction and user performance. Inform Manage 1996;30:65-73.
20. Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LS. An evaluation framework for health information systems: Human, organization and technology-fit factors (HOT-fit). Int J Med Inform 2008;77:386-398.
21. Doll WJ, Ziaodong D, Raghunathan TS, Torkzadeh G, Weidong X. The meaning and measurement of user satisfaction: A multigroup invariance analysis of the end-user computing satisfaction instrument. J Manage Inform Syst 2004;21:227-262.
22. Otieno OG, Toyama H, Asonuma M, Kanai-Pak M, Naitoh K. Nurses' views on the use, quality and user satisfaction with electronic medical records: Questionnaire development. J Adv Nurs 2007;60:209-219.
23. Kettinger WJ, Lee CC. Pragmatic perspectives on the measurement of information systems service quality. MIS Q 1997;21:223-240.
24. Chang IC, Li YC, Hung WF, Hwang HG. An empirical study on the impact of quality antecedents on tax payers' acceptance of Internet tax-filing systems. Gov Inf Q 2005;22:389-410.
25. Wakefield DS, Halbesleben JRB, Ward MM, Qiu Q, Brokel J, Crandall D. Development of a measure of clinical information systems expectations and experiences. Med Care 2007;45:884-890.
26. van der Meijden MJ, Tange HJ, Troost J, Hasman A. Determinants of success of inpatient clinical information systems: A literature review. J Am Med Inform Assoc 2003;10:235-243.
27. Holden RJ, Karsh BT. The technology acceptance model: Its past and its future in health care. J Biomed Inform 2010;43:159-172.
28. Tseng HM, Chan PT, Chiang CY. Applying technology acceptance model to examine factors related to nurses' acceptance for the use of mobile nursing station in hospitals. J Taiwan Assoc Med Inform 2009;18:23-38.
29. Yu P, Li H, Gagnon MP. Health IT acceptance factors in long-term care facilities: A cross-sectional survey. Int J Med Inform 2009;78:219-229.
30. Hilton A, Skrutkowski M. Translating instruments into other languages: Development and testing processes. Cancer Nurs 2002;25:1-7.
31. Wold H. Partial least squares. In: Kotz S, Johnson NL, eds. Encyclopedia of statistical sciences, Vol. 6. New York: Wiley, 1985:581-591.
32. O'Leary-Kelly SW, Vokurka RJ. The empirical assessment of construct validity. J Oper Manag 1998;16:387-405.
33. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 1981;18:39-50.
34. Lenz R, Reichert M. IT support for healthcare processes-premises, challenges, perspectives. Data Knowl Eng 2007;61:39-58.
35. Chen IJ, Yang KF, Tang FI, Huang CH, Yu S. Applying the technology acceptance model to explore public health nurses' intentions towards web-based learning: A cross-sectional questionnaire survey. Int J Nurs Stud 2008;45:869-878.
36. Aggelidis VP, Chatzoglou PD. Using a modified technology acceptance model in hospitals. Int J Med Inform 2009;78:115-126.
37. Tung FC, Chang SC, Chou CM. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int J Med Inform 2008;77:324-335.
38. Chen DR. Psychosocial work environment and self-rated health: A comparative study of DC and ERI models in a sample of medical specialists. Taiwan J Public Health 2006;25:93-106.