Sometimes data provides answers and sometimes it creates questions—but neither are possible if you’re collecting data that you’re not analyzing. Consider, for example, Fig. 1. This visualization, generated using HI-IQ®, illustrates the anonymized data used with permission from an actual HI-IQ facility comprised of several hospitals in the United States. The blue line charts the volume of services provided by the interventional radiology department over a 12-month period from September 2019 to September 2020. The right y-axis corresponds to service volume. The stacked bars illustrate the number of services with complications or adverse events over the same time period, with each segment corresponding to the documented outcome of the complication or adverse event. Complication/adverse event frequency is tallied on the left y-axis.
What answers does this analysis provide? What questions does it raise? Certainly, it draws a very clear picture of the impact of COVID-19 on the IR service volumes for this user. Following that, the monthly trend in complications/adverse events raises some questions, given that the overall number of complicated services increased in Q3 2020 versus the earlier time periods shown. Why? Sicker patients due to the pandemic? A case mix that is different from prior months? New trainees onboard in July? IRs will likely agree these are all questions worth answering, which may not have been apparent without access to this, or a similar, analytic tool.
Gain valuable insight into the data you collect by employing the growing library of visualization tools available in HI-IQ IRIS. With fast, direct access to data analytics, you’ll quickly realize a return on investment from time spent on electronic documentation.
Illustration 1: Service volume (blue line) is trended by month for one year. Complicated Services/Services with Adverse Events are stacked by outcome over the same time period. ©ConexSys, Inc.
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