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Electronic medical record summary and presentation

  • US 10,311,206 B2
  • Filed: 06/19/2014
  • Issued: 06/04/2019
  • Est. Priority Date: 06/19/2014
  • Status: Active Grant
First Claim
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1. A computer-implemented method of outputting a clinical summary for a medical patient, said method comprising:

  • receiving, by a computer, an electronic medical record (EMR) for said medical patient from an EMR system, said EMR comprising structured data and unstructured data;

    analyzing, by said computer, said EMR using natural language processing techniques along with a medical ontology to recognize medical concepts within said EMR;

    mapping data from said EMR to standardized medical concepts in said medical ontology to identify medical problems of said medical patient associated with said EMR, using said computer;

    producing, by said computer, an annotated EMR by annotating contents of said unstructured data and said structured data to identify the medical concepts based on said mapping;

    extracting, by said computer, medical data from said annotated EMR using named entity and relation annotators based on standardized medical concepts;

    providing, by said computer, a list of medical problems contained in said annotated EMR;

    generating, by said computer, a clinical data relationship question for each medical problem on said list of medical problems based on said medical concepts using a question template based on a medical problem and said medical data extracted from said EMR;

    inputting, by said computer, each said clinical data relationship question into a question-answering (QA) system that uses natural language processing techniques, said QA system being separate from said EMR system and comprising a corpus of data having structured and unstructured data in a relevant medical domain, said corpus of data being maintained in at least one database separate from said EMR system;

    said QA system automatically searching said corpus of data to retrieve answers to the clinical data relationship question;

    said QA system obtaining an answer to each said clinical data relationship question and evidence profiles for each said answer, wherein said answer has a corresponding score indicating a degree of probability that the answer correctly answers the clinical data relationship question;

    analyzing, by said computer, each said answer;

    identifying, by said computer, whether a valid relation exists between said medical problem of said medical patient associated with said EMR and said medical data based on said score;

    said computer filtering out medical problems that have said score below a threshold;

    said computer creating a clinical summary for said medical patient associated with said EMR using a summarization template, said clinical summary comprising specific medical information for said medical patient comprising said list of medical problems, said medical data, and said relations;

    said computer prioritizing said clinical summary for said EMR based on said evidence profile and said score; and

    said computer outputting said clinical summary for said EMR.

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