Analysing DRG Data from a Coding Perspective

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Abstract
In this paper the author discusses the benefits of analysing diagnosis related groups (DRGs) from a coding perspective. Relevant literature is reviewed on issues associated with local coding practices, selection of principal diagnosis, “DRG creep”, the accuracy of coded data and methods for detecting coding errors. The author argues for employing a coding expert such as a medical record administrator in order to gain important insight into the analysis of DRG data and to provide feedback to coders for continuing quality assurance of coded data.

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