While administrative information systems can assist nurse managers to improve cost containment and resource management of their units, such effects cannot be known without rigorous evaluations. This article presents evaluation results of CLASSICA, an information system designed to provide decision support for nurse managers in financial management, resource allocation, and activity planning. CLASSICA demonstrated a 41% reduction in expenditures for overtime and extra hours during the evaluation period as compared with a 1.8% reduction in control units that did not use the system. Nurse managers reported a substantial improvement in management information and stated that they had gained control over costs. The system helped them analyse the relationships between patient activity, staffing and costs of nursing care. Nurse managers also reported high satisfaction with the system, the information and decision support provided, and its ease of use. These results suggest that CLASSICA is a decision support system that can successfully assist nurse managers in effectively managing their units.
"Two of the systems were developed in Europe and are not publicly available (Junttila et al., 2007; Ruland & Ravn, 2003). One application was limited in that data required entry by the nurse manager (versus selfpopulating ) (Ruland & Ravn, 2003). Another system was developed using a data warehouse model, which uses existing multiple data points in information systems including payroll and patient characteristics (Junttila et al., 2007). "
[Show abstract][Hide abstract] ABSTRACT: Over the last 15 years, evidence has been accumulating relating higher levels of nurse staffing in both quantity and experience to lower rates of adverse patient outcomes. Consequently, to promote quality patient outcomes efficiently, making staffing decisions based in evidence is of increasing importance. However, there is still limited data to help decide how to effectively allocate scarce nurse resources in practice. Existing principles, frameworks, and guidelines provide a foundation for nurse staffing decisions but face poor adoption. To determine optimal nurse staffing practices and provide evidence-based recommendations for policy, and integration into operations, comprehensive data are necessary. Information technology can assist nurse staffing decisions. Four informatics processes that may support evidence-based nurse staffing are described: (a) Data acquisition from multiple data sources, (b) Representation of data in a way it can be re-used for multiple purposes, (c) Sophisticated data processing and mining, and (d) Presentation of data in standardized and user-configurable ways.
[Show abstract][Hide abstract] ABSTRACT: Contemporary forces, including the growing nursing shortage, the aging population, and the emphasis on patient safety, are increasing the pressure on healthcare facilities to use information systems to achieve better outcomes. Use of information systems improves nurses' ability to make decisions in a timely manner; however, nurses are still reluctant about or avoiding using information systems in their daily work. The purpose of this study was to explore the relationships among age, nursing education, computer experience, user involvement in implementation, nursing management support to use information systems, nurses' information system use, and information system outcomes (benefits and satisfaction). The study used an input-process-outcome framework, a descriptive correlational design, and a mailed survey with a random sample of staff nurses. Computer experience, user involvement, and nursing management support were found to significantly explain information system use. In addition, information system use was found to significantly explain nurses' perception of the benefits of using information systems and their satisfaction with using information systems. These results assist nursing administrators and leaders to change and/or restructure the appropriate work environment to enhance nurses' information system use and increase their satisfaction, thereby improving patient outcomes.
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