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Objective: To assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS. Participants and Methods: A series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation. Multiple logistic regression with backward elimination was used to assess the relationship between demographic variables, attitudes about RTLSs, and intention to use or actual use of an RTLS. Results: Demographic variables were not associated with intention to use or actual use of the RTLS. Before implementation, poor perceptions about the technology's usefulness and lack of trust in how employers would use tracking data were associated with weaker intentions to use the RTLS. During and after implementation, attitudes about the technology's use, not issues related to autonomy and privacy, were associated with less use of the technology. Conclusion: Real-time location systems have the potential to assess patterns of health care delivery that could be modified to reduce costs and improve the quality of care. Successful implementation, however, may hinge on how staff weighs attitudes and concerns about their autonomy and personal privacy with organizational goals. With the large investments required for new technology, serious consideration should be given to address staff attitudes about privacy and technology in order to assure successful implementation.

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Interruptions in the Emergency Department (ED) are moderately studied in regard to their impact on physicians’ workload. This study captured interruptions characteristics and measures of workload. Twenty-eight ED physicians were followed during their shifts; interruptions they faced were captured using a validated tablet PC-based tool. At the mid and end of their shift, providers completed a NASA-Task Load Index (TLX) questionnaire and a reaction time task. Descriptive statistics and ANOVA were used to identify relationships between physicians’ interruptions and workload. A total of 2355 interruptions were identified ( M =84.1, SD =14.5). The NASA-TLX results showed increase in physicians’ responses for all subscales from mid to end-shifts. Reaction time was higher at end-shift with mean difference of 33.75ms, 95% CI [20.35, 47.13], p < 0.001. At end-shift, there was a statistically significant positive correlation between reaction time and all NASA-TLX subscales. Interruption duration rather than frequency correlated positively with NASA-TLX scores. High/critical interruptions were the least frequent but had longer duration and greater impact on workload. This study provided a unique examination of interruptions over an entire provider shift and identified interruptions as potential causes of increased workload for ED physicians.