Outliers pose problems for many different types of analysis. While in many analyses they can either be removed or even ignored without much impact on the final result. However, in some small counts, they are problematic. Researchers at 5E examined publically available data regarding retained surgical devices to identify whether instances are representative of a systemic problem.
In a recent paper published and presented at the Northeast Decision Sciences Institute Conference in Philadelphia, PA in April, the team from 5 Element Analytics scrutinized the RSD metric to identify potential systemic issues at hospitals.
Using a similar approach from a previous paper in which a method was used to identify problems with the ERA metric in baseball, this approach discusses how outliers can be identified which would have an impact on hospital performance.
Visit our website or contact us for a copy of the paper, “Small Count Data and Outlier Analysis: An Exploratory Study of Patient Safety”
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