International Journal of Medical Informatics
Volume 81, Issue 2 , Pages 88-97 , February 2012

Do hospital physicians’ attitudes change during PACS implementation? A cross-sectional acceptance study

  • Bram Pynoo

      Affiliations

    • Ghent University Hospital, Radiology and Medical Imaging, Belgium
    • Corresponding Author InformationCorresponding author at: UZ Gent-Dienst ICT (1AG), De Pintelaan 185, B-9000 Gent. Tel.: +32 9 332 65 28; fax: +32 9 332 49 60.
  • ,
  • Pieter Devolder

      Affiliations

    • Ghent University Hospital, Radiology and Medical Imaging, Belgium
  • ,
  • Wouter Duyck

      Affiliations

    • Ghent University, Department of Experimental Psychology, Belgium
  • ,
  • Johan van Braak

      Affiliations

    • Ghent University, Department of Educational Studies, Belgium
  • ,
  • Bart Sijnave

      Affiliations

    • Ghent University Hospital, Department of ICT, Belgium
  • ,
  • Philippe Duyck

      Affiliations

    • Ghent University Hospital, Radiology and Medical Imaging, Belgium

Received 10 November 2010 ,Revised 13 October 2011 ,Accepted 16 October 2011.

References 

  1. Hayt DB, Alexander S. The pros and cons of implementing PACS and speech recognition systems. J. Digit. Imaging. 2001;14:149–157
  2. Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma’luf N, et al. The impact of computerized physician order entry on medication error prevention. J. Am. Med. Inform. Assoc. 1999;6:313–321
  3. Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA. 1998;280:1311–1316
  4. Bates DW. Using information technology to reduce rates of medication errors in hospitals. BMJ. 2000;320:788–791
  5. Ford EW, McAlearney AS, Phillips MT, Menachemi N, Rudolph B. Predicting computerized physician order entry system adoption in US hospitals: can the federal mandate be met?. Int. J. Med. Inform. 2008;77:539–545
  6. Heeks R. Health information systems: failure, success and improvisation. Int. J. Med. Inform. 2006;75:125–137
  7. Kaplan B, Harris-Salamone KD. Health IT success and failure: recommendations from literature and an AMIA workshop. J. Am. Med. Inform. Assoc. 2009;16:291–299
  8. Holden RJ, Karsh B-T. A theoretical model of health information technology usage behaviour with implications for patient safety. Behav. Inform. Technol. 2009;28:21–38
  9. Siegel E, Reiner B. Work flow redesign: the key to success when using PACS. AJR Am. J. Roentgenol. 2002;178:563–566
  10. Devolder P, Pynoo B, Voet T, Adang L, Vercruysse J, Duyck P. Optimizing physicians’ instruction of PACS through E-learning: cognitive load theory applied. J. Digit. Imaging. 2009;22:25–33
  11. Zitner D. Physicians will happily adopt information technology. Can. Med. Assoc. J. 2006;174:1583–1584
  12. Buccoliero L, Calciolari S, Marsilio M, Mattavelli E. Picture, Archiving and Communication System in the Italian NHS: a primer on diffusion and evaluation analysis. J. Digit. Imaging. 2009;22:34–47
  13. Duyck P, Pynoo B, Devolder P, Voet T, Adang L, Ovaere D, et al. Monitoring the PACS implementation process in a large university hospital – discrepancies between radiologists and physicians. J. Digit. Imaging. 2010;23:73–80
  14. Pare G, Trudel MC. Knowledge barriers to PACS adoption and implementation in hospitals. Int. J. Med. Inform. 2007;76:22–33
  15. Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading (MA): Addison-Wesley; 1975;
  16. Rogers EM, Shoemaker FF. Communication of Innovations: A Cross-Cultural Approach. New York: Free Press; 1971;
  17. Brown SA, Massey AP, Montoya-Weiss MM, Burkman JR. Do I really have to? User acceptance of mandated technology. Eur. J. Inform. Syst. 2002;11:283–295
  18. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. Mis Quart. 2003;27:425–478
  19. Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer-technology – a comparison of 2 theoretical-models. Manage. Sci. 1989;35:982–1003
  20. Venkatesh V, Davis FD. A theoretical extension of the Technology Acceptance Model: four longitudinal field studies. Manage. Sci. 2000;46:186–204
  21. Venkatesh V, Bala H. Technology acceptance model 3 and a research agenda on interventions. Decision Sci. 2008;39:273–315
  22. Bhattacherjee A, Hikmet N, Menachemi N, Kayhan VO, Brooks RG. The differential performance effects of healthcare information technology adoption. Inform. Syst. Manage. 2007;24:5–14
  23. Chang IC, Hwang HG, Hung WF, Li YC. Physicians’ acceptance of pharmacokinetics-based clinical decision support systems. Expert Syst. Appl. 2007;33:296–303
  24. Bhattacherjee A, Hikmet N. Physicians’ resistance toward healthcare information technology: a theoretical model and empirical test. Eur. J. Inform. Syst. 2007;16:725–737
  25. Ilie V, Van Slyke C, Parikh MA, Courtney JF. Paper versus electronic medical records: the effects of access on physicians’ decisions to use complex information technologies. Decision Sci. 2009;40:213–241
  26. Duyck P, Pynoo B, Devolder P, Adang L, Vercruysse J, Voet T. Do hospital physicians really want to go digital? Acceptance of a picture archiving and communication system in a university hospital. Fortschr Röntg. 2008;180:631–638
  27. Duyck P, Pynoo B, Devolder P, Voet T, Adang L, Vercruysse J. User acceptance of a picture archiving and communication system – applying the unified theory of acceptance and use of technology in a radiological setting. Methods Inform. Med. 2008;47:149–156
  28. Chau PYK, Hu PJH. Examining a model of information technology acceptance by individual professionals: an exploratory study. J. Manage. Inform. Syst. 2002;18(4):191–229
  29. Chau PYK, Hu PJH. Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inform. Manage. 2002;39:297–311
  30. Chau PYK, Hu PJH. Information technology acceptance by individual professionals: a model comparison approach. Decision Sci. 2001;32:699–719
  31. Gagnon MP, Godin G, Gagne C, Fortin JP, Lamothe L, Reinharz D, et al. An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians. Int. J. Med. Inform. 2003;71:103–115
  32. Pare G, Lepanto L, Aubry D, Sicotte C. Toward a multidimensional assessment of picture archiving and communication system success. Int. J. Technol. Assess. Health Care. 2005;21:471–479
  33. Alapetite A, Andersen HB, Hertzum M. Acceptance of speech recognition by physicians: a survey of expectations, experiences, and social influence. Int. J. Hum. Comput. Stud. 2009;67:36–49
  34. 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
  35. Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate Data Analysis. 5th ed.. Upper Saddle River (NJ): Prentice-Hall International; 1998;
  36. Nunnally JC, Bernstein IH. Psychometric Theory. New York: McGraw-Hill; 1994;
  37. Lapointe L, Rivard S. A multilevel model of resistance to information technology implementation. Mis Quart. 2005;29:461–491

PII: S1386-5056(11)00217-6

doi: 10.1016/j.ijmedinf.2011.10.007

International Journal of Medical Informatics
Volume 81, Issue 2 , Pages 88-97 , February 2012