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AUTOMATED CLINICAL INDICATOR RECOGNITION WITH NATURAL LANGUAGE PROCESSING

  • US 20150066539A1
  • Filed: 09/05/2014
  • Published: 03/05/2015
  • Est. Priority Date: 09/05/2013
  • Status: Active Grant
First Claim
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1. A computer-based, natural language processing system comprising:

  • a computer processor operatively coupled to an interactive display;

    a natural language processor module executing on the computer processor; and

    a database in communication with the computer processor, the database comprising memory for storing a medical record, the medical record comprising documents relating to patient care;

    the computer processor configured to perform the steps of;

    receiving a diagnosis for a patient associated with the medical record;

    identifying clinical indicators and associated contextual information in the documents of the medical record at least using the natural language processor module;

    analyzing the clinical indicators and associated contextual information in relation to rule-based scenarios in an information model;

    generating markers according to the analysis, wherein the markers indicate a medical diagnosis;

    identifying expected markers for the received diagnosis for the patient;

    comparing the generated markers with the identified expected markers;

    if the markers identified for the received diagnosis do not match one or more generated markers, thengenerating a query requesting evidence missing from the medical record for supporting the received diagnosis, the missing evidence comprising clinical indicators required to generate scenarios and markers from the medical record for the received diagnosis, andif the markers identified for the received diagnosis match the one or more generated markers, thenvalidating the received diagnosis.

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