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Automated learning for medical data processing system

  • US 8,612,261 B1
  • Filed: 12/17/2012
  • Issued: 12/17/2013
  • Est. Priority Date: 05/21/2012
  • Status: Expired due to Fees
First Claim
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1. An method comprising:

  • receiving clinician note data in a first electronic system that includes patient medical-related data;

    processing the clinician note data using a natural language data processor and medical record interpretation rules to automatically convert the clinician note data into an electronic medical record;

    sending the electronic medical record to a second electronic system to allow review and modification of the converted clinician note data in the electronic medical record;

    receiving feedback data in the first electronic system that indicates modifications to the converted clinician note data in the electronic medical record;

    processing the feedback data to identify modifications to the converted clinician note data in the electronic medical record;

    analyzing the modifications in the feedback data to determine whether to modify the medical record interpretation rules; and

    modifying the medical record interpretation rules in accordance with at least a portion of the feedback data for use in processing subsequently received clinician note data if analysis of the modifications in the feedback data determines to modify the medical record interpretation rules.

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