In an effort to predict nursing intention to adopt and properly use a new electronic patient record system (EPRS), a survey gathered demographic and computer experience information of, and attitude and image profile toward, the EPRS prior to installation. The results showed a somewhat positive overall attitude and age was found to be a significant factor in determining nurses' attitudes toward the EPRS. The image profile for the EPRS revealed a more negative perception of the EPRS by the nursing staff. A regression model, designed to identify variables that would predict attitude and in turn system adoption and use of the EPRS, found that age and image profile predictions were significant. The outcome of this research reinforces the notion that nurses are accepting of new EPRS systems and are somewhat supportive of technology in general, but the image profile draws attention to their concerns for quality healthcare delivery.
This paper observes the development of human-computer interaction as a research discipline from 1991 to 1993. From a citation analysis of three volumes of three journals, the field of human computer interaction is identified as emerging from a supporting base of four fields: computer science, information systems, psychology, and human factors/ ergonomics. Results of this analysis support the proposition that human-computer interaction is emerging as a distinct field of study.
Employers today are faced with the task of managing workplace privacy, dealing with potential litigation, preserving the confidentiality of company information while protecting the rights of the employee. Since September 11, 2001, employers have faced new challenges including the implementation of new laws and the development of more sophisticated technology. As a result, workplace policies dealing with privacy must be clearly and effectively communicated to all affected workers. The objective of this survey research project was to measure the general public's attitudes and perceptions of the communication of work place privacy policies. An emphasis was placed on the collection of real world data from multiple business and organizational environments, as opposed to data obtained in a controlled experimental setting.
Self-efficacy is a user's confidence that he or she has the ability to use an information system. A survey gathered demographics, self-assessed computer skills, attitude and self-efficacy before installation of an integrated clinical and administrative information system. Results showed that higher levels of nursing education, home computer use, and average levels of self-assessed e-mail, Internet search, word processing, and general computer expertise predicted self-efficacy of the system. In addition, previous use of home and office electronics equipment, such as an answering machine, predicted self-efficacy. Implications for training and future adoption of clinical information systems are presented.
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