![]() ![]() These dynamic calculations can be used to simply visualize trends, or to bubble up specific sub-categories of data that are sharply trending up or down over time. ![]() In Healthcare (this is a Healthcare Blog) some examples might include Average Length of Stay, Complications, Falls, Performance Metric Rates, Supply Chain Metrics, and more. The approach used in this example could be applied to any data on a date axis, for any industry.
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