Towards accurate and automatic emergency department workflow characterization using a real-time locating system

This paper presents how patient throughput within an Emergency Department (ED) can be accurately and automatically characterized using a combination of data derived from a real-time location system (RTLS) and other traditional hospital IT systems such as Electronic Medical Records (EMR) and Laboratory Information Systems. Such insights can be used by a hospital to identify bottlenecks or inefficiencies and develop strategies to optimize and monitor patient flows. A descriptive, retrospective study was conducted among 1149 patients. Five KPIs, including time from arrival to triageand total length of stay, were used to evaluate ED timestamps to characterize the flow of the patient. A description of the techniques used to combine the various data sources to perform the accurate measurements is provided. The paper also describes the measurements obtained and indicates how real-time locating systems can contribute towards improving the quality of the timestamps generated compared to only using data from traditional hospital IT systems. A principial finding is that there is a large gap between the length of stay using only EMR data and the one computed combining EMR and RTLS data. Finally, the paper provides guidelines on how to deploy such a system effectively.