Abstract

Background: Door-in-door-out time (DIDO) is an established driver of outcome in ischemic stroke patients who initially present to a Primay Stroke Center (PSC) and require transfer for endovascular intervention. In 2019, the Joint Commission required monitoring of DIDO as part of its STK-OP measure. Given the importance of rapidly transferring ischemic stroke patients, we embarked to create a monitoring tool to help assess the areas of delay in a 14 hospital telemedicine supported stroke system. Methods: A monitoring system was designed using PowerBI™ and Microsoft Suite™ products that models various data sources for consumption and action. Separate data queries from various sources were entered into one report using the Office365™ suite and Power Query Editor™ in PowerBI™. The resulting data model was then reorganized and programmed into a PowerBI™ report that can be shared throughout the organization. Results: The report allowed region-wide or hospital specific evaluation of several time based transfer metrics, including: door to initial call to transfer center, transfer center contact to neurointerventional physician accept time, accept time to ambulance arrival, ambulance arrival to ambulance departure and travel time to thrombectomy center. The largest areas of delays identified were door to initial call to transfer center and time of ambulance arrival to spoke to departure from spoke. The tool also allowed the separation of the STK-OP measure into ischemic stroke, intracerebral hemorrhage or sub-arachnoid hemorrhage. The assessment of these time metrics at a regional and individual hospital level permitted us to create a plan to focus on the greatest areas of delay to further decrease our transfer times. Conclusion: Modern data software may be leveraged by stroke programs to help assess the specific time metrics causing delay in DIDO, which could then further assist in focused quality improvement of these metrics.

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