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AssigneePattern Analysis, Inc.
InventorsLawrence Spitz, John M. Gauch, Richard Kniffin, Lori Smith
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A scheme for extracting and comparing graphs from medical reports to detect duplicates that may indicate fraudulent medical diagnostic testing results, due, e.g., to billing or insurance fraud. Domain knowledge is used to pre-process input documents and automatically extract graph images. These images are stored in a database and compared to one other using a distance-based comparison metric that is robust to noise and other image acquisition artifacts. Graphs are compared in blocks of 1000 images at a time using a two-pass comparison algorithm to identify the top matches for each graph. If a graph on the page currently being analyzed is identified as a close enough match to a known graph in the database (e.g., the graph extracted from the current patient's medical record appears to be identical to the graph of a different patient), then the page is flagged as potentially being evidence of fraudulent activity.
A computer-implemented method for detecting irregularities in patient diagnostic data, the method comprising:
A system for detecting irregularities in patient diagnostic data, the system comprising a processor adapted to:
A non-transitory machine-readable medium, having encoded thereon program code, wherein, when the program code is executed by a machine, the machine implements a method for detecting irregularities in patient diagnostic data, the method comprising:
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