Literature DB >> 16478675

Knowledge barriers to PACS adoption and implementation in hospitals.

Guy Paré1, Marie-Claude Trudel.   

Abstract

PURPOSE: Drawing on the classical theory of diffusion of innovations advanced by Rogers [E.M. Rogers, Diffusion of Innovations, 4th ed., Free Press, New York, NY, 1995] and on the theory of barriers to innovation [P. Attewell, Technology diffusion and organizational learning: the case of business computing. Organ. Sci. 3 (1992) 1-19; H. Tanriverdi, C.S. Iacono, Knowledge barriers to diffusion of telemedicine. Proceedings of the 20th International Conference on Information Systems, Charlotte, NC, 1999, pp. 39-50; S. Nambisan, Y.-M. Wang, Roadblocks to web technology adoption? Commun. ACM, 42 (1) (1999) 98-101], this study seeks a better understanding of challenges faced in PACS implementations in hospitals and of the strategies required to ensure their success.
METHODS: To attain this objective, we describe and analyze the process used to adopt and implement PACS at two Canadian hospitals.
RESULTS: Our findings clearly demonstrate the importance of treating any PACS deployment not simply as a rollout of new technology but as a project that will transform the organization. Proponents of these projects must not lose sight of the fact that, even if technological complexity represents a significant issue, it must not garner all the project team's attention. This situation is even more dangerous, inasmuch as the greatest risk to the implementation often lies elsewhere. It would also appear to be crucial to anticipate and address organizational and behavioral challenges from the very first phase of the innovation process, in order to ensure that all participants will be committed to the project.
CONCLUSIONS: In order to maximize the likelihood of PACS success, it appears crucial to adopt a proactive implementation strategy, one that takes into consideration all the technical, economic, organizational, and human factors, and does so from the first phase of the innovation process.

Entities:  

Mesh:

Year:  2006        PMID: 16478675     DOI: 10.1016/j.ijmedinf.2006.01.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  25 in total

1.  Monitoring the PACS implementation process in a large university hospital--discrepancies between radiologists and physicians.

Authors:  Philippe Duyck; Bram Pynoo; Pieter Devolder; Tony Voet; Luc Adang; Dries Ovaere; Jan Vercruysse
Journal:  J Digit Imaging       Date:  2008-10-28       Impact factor: 4.056

2.  Introducing PACS to the late majority. A longitudinal study.

Authors:  Petter Hurlen; Truls Østbye; Arne Borthne; Pål Gulbrandsen
Journal:  J Digit Imaging       Date:  2008-11-01       Impact factor: 4.056

3.  Development of a research dedicated archival system (TARAS) in a university hospital.

Authors:  Tiina Rajala; Sami Savio; Jarkko Penttinen; Prasun Dastidar; Mika Kähönen; Hannu Eskola; Risto Miettunen; Väinö Turjanmaa; Ritva Järvenpää
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

Review 4.  Strategies from a nationwide health information technology implementation: the VA CART story.

Authors:  Tamára L Box; Mary McDonell; Christian D Helfrich; Robert L Jesse; Stephan D Fihn; John S Rumsfeld
Journal:  J Gen Intern Med       Date:  2010-01       Impact factor: 5.128

5.  Barriers to the widespread adoption of health data standards: an exploratory qualitative study in tertiary healthcare organizations in Saudi Arabia.

Authors:  Abdullah Alkraiji; Thomas Jackson; Ian Murray
Journal:  J Med Syst       Date:  2013-01-17       Impact factor: 4.460

6.  Effect of Interventional Program on the Utilization of PACS in Point-of-Care Ultrasound.

Authors:  Ross Kessler; Jeffrey R Stowell; Jody A Vogel; Michael M Liao; John L Kendall
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

7.  Deep learning enabled brain shunt valve identification using mobile phones.

Authors:  Sheeba J Sujit; Eliana Bonfante; Azin Aein; Ivan Coronado; Roy Riascos-Castaneda; Luca Giancardo
Journal:  Comput Methods Programs Biomed       Date:  2021-08-13       Impact factor: 7.027

Review 8.  Image Sharing Technologies and Reduction of Imaging Utilization: A Systematic Review and Meta-analysis.

Authors:  Joshua R Vest; Hye-Young Jung; Aaron Ostrovsky; Lala Tanmoy Das; Geraldine B McGinty
Journal:  J Am Coll Radiol       Date:  2015-12       Impact factor: 5.532

9.  User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department.

Authors:  Bakheet Aldosari
Journal:  BMC Med Inform Decis Mak       Date:  2012-05-28       Impact factor: 2.796

10.  Acceptance of virtual dental implant planning software in an undergraduate curriculum: a pilot study.

Authors:  Emeka Nkenke; Elefterios Vairaktaris; Anne Bauersachs; Stephan Eitner; Alexander Budach; Christian Knipfer; Florian Stelzle
Journal:  BMC Med Educ       Date:  2012-09-29       Impact factor: 2.463

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