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A Cross-country Com...
A Cross-country Comparison of Success Factor Priorities for Health Information Technology Managers : Evidence of Convergence in the Nordic Countries
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- Nguyen, Thi Thanh Hai (författare)
- University of Eastern Finland, Kuopio,Finland
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- Eikebrokk, Tom Roar (författare)
- University of Agder, Kristiansand, Norway
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- Moe, Carl Erik (författare)
- University of Agder, Kristiansand, Norway
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- Medaglia, Rony (författare)
- Copenhagen Business School, Copenhagen, Denmark
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- Larsson, Hannu, 1985- (författare)
- Örebro universitet,Handelshögskolan vid Örebro Universitet
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- Tapanainen, Tommi (författare)
- Hanyang University, Seoul, South Korea
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(creator_code:org_t)
- IEEE, 2015
- 2015
- Engelska.
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Ingår i: 2015 48th Hawaii International Conference on System Sciences (HICSS). - : IEEE. - 9781479973675 ; , s. 2824-2833
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The implementation of Health Information Technology (HIT) can improve the provision of high-quality and efficient healthcare services; however, it has met with significant challenges in many cases. Despite the challenges occurring in many countries, prior research on HIT implementation success factors is, however, mainly from the USA. This research conducted a survey to IT managers in Nordic countries' healthcare organizations and compiled a list of the HIT implementation success factors that these managers considered important in each country. It was found that IT managers in Nordic countries agree highly with each other in their judgment of the importance of these success factors. While Nordic countries' healthcare systems and culture are relatively similar, the results suggest that an internationally applicable set of recommendations for the successful completion of HIT implementations could be within the realm of possibility.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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