The efficiency of STAT’s order throughout alert technology for the nurse’s mobile station in Taiwan: A trajectory study

Abstract

Nursing information system combined with computerized physician order entry is a new technology on patient medication safety. With the help of clinical decision support and the alert reminder of the mobile station, the medication administration will be more precise. The purpose of this study was to predict the change of time on Stat Order before and after the implementation of the decision alert system. Design: Throughout a longitudinal study and a nested design--level 1 was the frequency of time on Stat Order (including the baseline, one up to six times); level 2 was the subject (nurses). Settings: The subjects were divided into two groups: before (paper group) and after (computer group with flash of alert to remind nurses) implementation. The data of nursing information system was used to collect the administration medication of time on Stat Order. Participants: There were 198 nurses enrolled and 2,376 time on Stat Order in this study. The study was carried out between July to October 2008. STATA 12.0 was adopted for descriptive statistics and multilevel regression analysis. The result showed that the mixed regression model of time on Stat Order on computer group was significantly reduced than on paper group (95% CI: -99.05~-61.65, p < .001). Furthermore, it also showed a significantly reduced time on each visit (95% CI: -13.63~-9.89, p < .00). The inter-correlation value was .66~.67. We recommended integrating this new alert technology, a high quality and timely method, with nurse’s routine work to improve medication administration on health care service.