
Many new technologies are being developed to improve the efficiency and productivity of nursing staff. A key to the success of these technologies is acceptance by nurses. Davis' constructs of perceived ease of use and perceived usefulness were developed to measure the acceptance of computer systems. This article presents a discussion on nursing acceptance of computer systems, reviews the development of the perceived ease of use and perceived usefulness measures, and reports findings of a study based on these constructs along with attitude of bedside-computer systems. Results of the study showed that nurses in general are accepting of bedside-computer technology.
Intensive Care Units, User-Computer Interface, Attitude of Health Personnel, Attitude to Computers, Point-of-Care Systems, Surveys and Questionnaires, Humans, Nursing Staff, Hospital, Factor Analysis, Statistical
Intensive Care Units, User-Computer Interface, Attitude of Health Personnel, Attitude to Computers, Point-of-Care Systems, Surveys and Questionnaires, Humans, Nursing Staff, Hospital, Factor Analysis, Statistical
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 47 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
