Torunn Kitty Vatnøy
Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, Grimstad, Norway
Grete Vabo
Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, Grimstad, Norway
Mariann Fossum
Department of Health and Nursing Science, Faculty of Health and Sport Sciences, University of Agder, Grimstad, Norway
Ladda ner artikel
Ingår i: Scandinavian Conference on Health Informatics; August 22; 2014; Grimstad; Norway
Linköping Electronic Conference Proceedings 102:18, s. 109-109
Publicerad: 2014-08-20
ISBN: 978-91-7519-241-3
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Policies and strategies to achieve welfare in the Norwegian society demand a well-developed and complex organization of public services. Statutory demands to deliver quality in public services are following the growth of the welfare state. In the purpose of learning from failure; it is required by law to report adverse events in the health services. To support the increasingly complex public management that the growing welfare state requires; there is confidence in how information and communication technology (ICT) can support the processes. ICT systems are developed and implemented to facilitate processes and demands in public services; but display varying success. Implementation success depends on several factors. System quality in terms of usability is one critical factor for success. The aim of this study was to evaluate the graphical user interface (GUI) of an ICT system module for reporting adverse events; developed for quality management in the municipality healthcare services in Norway.
1. Helse-og omsorgsdepartementet; [Norwegian Ministry
of Health and Care Services] Lov om Helsepersonel
[Act Relating to Health personell]. LOV-1999-07-02-
64; 1999.
2. Delone; W.H. and E.R. McLean; The DeLone and
McLean Model of Information Systems Success: A
Ten-Year Update. J. Manage. Inf. Syst.; 2003. 19(4): p. 9-30.
3. Kushniruk; A.W. and V.L. Patel; Cognitive and
usability engineering methods for the evaluation of
clinical information systems. Journal of Biomedical Informatics; 2004. 37(1): p. 56-76.
