Automated Medical Record Processing System
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Solution Overview
Problem
Disability insurers face a laborious and time-consuming process in organizing and reviewing medical records from various sources to determine eligibility for disability benefits, as these records can range from 50 to over 1,000 pages and are often disorganized by receipt date rather than the patient's visit timeline.
Innovation Solution
A system and method for processing medical records by converting them into a computer-readable form, searching for key words, phrases, and symbols, extracting relevant data, and generating a summary report to facilitate the review process, allowing for chronological or categorized organization of medical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If medical records are organized manually by case managers in the order received, then the records are preserved in their original form, but the organization process becomes laborious and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical organization process with an automated computer-based system that uses optical character recognition (OCR), natural language processing, and automated indexing to extract and organize medical record data without human intervention, thereby eliminating the laborious manual sorting while preserving record integrity
Solution Approach 2:
The system enables medical records to organize themselves automatically through automated data extraction, classification, and indexing algorithms that process records in the order received and arrange them chronologically or by relevance without requiring case manager intervention
2Productivity
If medical records are converted into computer-readable form and processed automatically, then the review efficiency is improved, but the complexity of the processing system increases
Solution Approach 1:
The patent implements a multi-functional processing system that combines OCR scanning, natural language processing, data extraction, chronological ordering, and summary generation within a single integrated platform, allowing one system to perform multiple functions that would otherwise require separate tools, thereby managing complexity while maximizing productivity
Solution Approach 2:
The processing system is divided into distinct modular components including an OCR module for conversion, a natural language processing module for data extraction, an indexing module for organization, and a reporting module for summary generation, allowing each component to be optimized independently while working together to improve overall review efficiency
3Speed
If key words, phrases, and symbols are searched and extracted from medical records, then relevant data is identified quickly, but the accuracy of extraction may be compromised
Solution Approach 1:
The patent incorporates feedback mechanisms where the natural language processing algorithm continuously refines its extraction accuracy by learning from identified patterns and correcting errors, using the context of surrounding text to verify extracted data and adjust extraction parameters to maintain both speed and precision
Data Source
AI summary
Processing medical records may be provided. First, medical records may be received from a plurality of sources. The medical records may then be converted into a computer-readable form. Once converted, the medical records may be searched for certain key words, phrases, or symbols. These searched key words, phrases and symbols may correspond to data of interest within the medical records. Once located, the searched key words, phrases and symbols may be extracted from the medical records, as well as an area of the records surrounding the located key words, phrases and symbols. Finally, the extracted data may be used to generate a summary report.