Investigation of the Effects of a Nursing Information System by Using the Technology Acceptance Model.
The purposes of this study are to investigate the effectiveness of implementing a nursing information system and to discuss several issues affecting its successful deployment from the perspectives of nurses, the major users of the system. The methodology was based on the theory of the technology acceptance model. This study adopted a cross-sectional study method to survey and collect data. In total, 167 questionnaires were distributed to subjects. Approximately 94.6%, or 158 valid questionnaires, were collected. The data were analyzed using SPSS and PLS software.The data analysis indicated that the factors that most significantly influenced the willingness of nurses to use the nursing information system were their degrees of satisfaction with the system and their perceptions of its usefulness. A nursing information system that can provide functions that are useful and convenient and that facilitate the avoidance of tedious repetitive writing and improve the quality of provided care can encourage nurse satisfaction with the system and thus stimulate their interest in using it for their work. The ease of use of the system can also affect the willingness of nurses to use it.
Author Affiliations: Department of Applied Informatics and Multimedia, Chia-Nan University of Pharmacy & Science, Tainan City (Dr Hsu); Department of Information Management, National Chung Cheng University, Chia-yi County (Ms Wu); and Department of Nursing, Sin Lau Hospital, Tainan City, Taiwan (ROC) (Ms Wu).
Hung-Hsiou
HH
Hsu
Ya-Hui
YH
Wu
D000328:Adult; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D003430:Cross-Sectional Studies; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D048108:Nursing Informatics; D009741:Nursing Staff, Hospital / Q000523:psychology*; D010549:Personal Satisfaction; D011795:Surveys and Questionnaires; D013673:Technology Assessment, Biomedical / Q000706:statistics & numerical data*