An Application of KEFM to the Analysis of Healthcare Information

Christopher J. Matheus, Gregory Piatetsky-Shapiro, and Dwight McNeill

The Key Findings Reporter (KEFIlt) is a system for discovering and explaining "key findings" in large, relational databases. This paper describes an application of KEFIlt to the analysis of health-care information. The system performs an automatic analysis of data along multiple dimensions to determine the most interesting deviations of specific quantitative measures relative to norms and previous values. It explains key findings through their relationship to other findings in the data, and, where possible, generates simple recommendations for correcting detected problems. A final written report, complete with business graphics, is produced for viewing remotely over the internet with Mosaic, or for printing to hardcopy.


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