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NLU TRAINING WITH USER CORRECTIONS TO ENGINE ANNOTATIONS

  • US 20150356260A1
  • Filed: 06/04/2014
  • Published: 12/10/2015
  • Est. Priority Date: 06/04/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • generating one or more medical billing codes for a free-form text documenting a clinical patient encounter and one or more links between each medical billing code and a corresponding portion of the free-form text by applying a natural language understanding engine implemented on a processor to the free-form text;

    receiving, from one or more human users, one or more corrections to the one or more medical billing codes and/or the one or more links;

    generating a finalized sequence of medical billing codes for the clinical patient encounter by applying the one or more corrections to the one or more medical billing codes and/or the one or more links; and

    providing training data to the natural language understanding engine in the form of at least the free-form text, the one or more corrections, and the finalized sequence of medical billing codes.

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