Optimizing Telestroke Programs using Clinical and Performance Data
Top performing telestroke networks rely on data to improve patient care, make key staffing decisions, identify opportunities for ongoing education, support community health initiatives and more. REACH Health has written this paper as the result of a four-month research project conducted with hospitals and healthcare systems using data from the REACH Health telemedicine platform to optimize the performance of their programs. Participants included physicians, telemedicine program directors and coordinators, data analysts and service line executives; and involved both telemedicine service providers and telemedicine service subscribers.
REACH Health customers have long collected and analyzed key stroke process and outcomes measures, including specific time intervals identified by the recent AHA Scientific Statement on Telemedicine, such as: time of consult notification, phone response, video-consult initiation, consult completion, and each critical patient treatment point such as patient arrival, CT scan, diagnosis, decision making, and initiation of intravenous tPA or the decision not to treat. REACH customers pay careful attention to the way time is spent in each stage of the telestroke consult to identify whether there is additional time that could be saved. In many instances, this produces positive results such as workflow optimizations, shorter average door-to-needle times, and increased tPA administration rates.
Data-Driven Telestroke reviews a wide variety of performance and clinical data and how it is being used by these hospitals to improve program effectiveness and clinical treatment, as well as manage and guide staff, address community education needs, and justify and improve financial return.