OBJECTIVE: The goal of this paper is to identify strategies for connectivity that will optimize point-of-care testing (POCT) organized as small-world networks in disaster settings. WLAN-based real-time patient localization systems can reduce process inefficiencies associated with manual patient identification and tracking. Additionally, significantly lower treatment times were noted for phase II patients even when other factors were considered (increased numbers of residents, the addition of imaging diagnostics, and comparison among various localization zones). An overall improvement of efficiency, as determined by a significantly decreased total treatment time (23.7%) from phase I to phase II, was noted. Covariates included sex, age, type of encounter, prioritization, treatment team, number of residents, and radiographic imaging.ฤก045 patients were included in our study (540 in phase I and 505 in phase 2). Statistical analysis was performed using multiple linear regression, with the significance level set at 0.05. Total treatment time was the primary outcome parameter. In phase II tracking, the acquired data were automatically collected and displayed. In phase I, patient tracking was performed with the real-time location system, but acquired data were not displayed to the personnel. Outpatients from April to August 2009 were included in the study, which was performed in two different stages. To analyze the effect of a WLAN-based real-time patient localization system for tracking outpatients in our level I trauma center. The existing wireless local area network (WLAN) architecture in many hospitals opens up the possibility of adopting real-time patient tracking systems for capturing and processing position data once captured, these data can be linked with clinical patient data. ![]() Patient localization can improve workflow in outpatient settings, which might lead to lower costs.
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