Medical Record Automation via OCR and NLP Mapping

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Solution Overview

Problem

Existing methods for processing image documents, such as medical records, are time-consuming and prone to errors due to manual data entry, especially when dealing with large volumes and various types of documents.

Innovation Solution

A system and method that utilize optical character recognition (OCR) and natural language processing (NLP) to automatically extract and map relevant information from image documents to predetermined data fields, facilitating automated data storage and workflow assignment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual review and data entry is used by employees, then data accuracy can be maintained through human judgment, but processing time increases substantially and error rates increase with large volumes of documents

Engineering Contradiction:

Improvedata accuracyVSAvoidprocessing speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces the mechanical system of manual human review and data entry with an automated computer-based system that uses optical character recognition (OCR) and natural language processing (NLP) to extract, validate, and map data from medical documents. This substitution eliminates manual labor while maintaining data accuracy through automated validation rules and enterprise logic, thereby resolving the contradiction between processing speed and data accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the automated processing system to independently perform data extraction, validation, and workflow assignment without requiring continuous human intervention. The computer processor automatically validates extracted data against enterprise logic and assigns appropriate workflows, reducing reliance on manual employee involvement while maintaining high processing volumes and accuracy.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated processing systems are implemented to increase processing speed, then productivity improves, but system complexity and initial resource requirements increase

Engineering Contradiction:

Improveprocessing speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal processing system that handles multiple types of medical documents (physician reports, hospital records, laboratory results) through a single integrated platform. The system performs multiple functions including OCR, NLP, data validation, workflow assignment, and database management within one computer processor, reducing overall system complexity compared to having separate systems for each function while maintaining high processing speed.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses an intermediary validation layer that sits between data extraction and final processing. The computer processor validates extracted data against enterprise logic and predefined rules before assigning workflows, which simplifies the overall system architecture by creating a standardized intermediate step that handles complexity in a uniform manner across all document types.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If comprehensive data validation and mapping are performed to ensure data quality, then reliability of processed information improves, but processing time and computational resources increase

Engineering Contradiction:

Improvedata qualityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-defining enterprise logic, validation rules, and workflow assignments before processing begins. The system has predetermined criteria for validating extracted data and assigning workflows, which allows rapid validation during processing without requiring complex real-time decision-making. This pre-prepared framework maintains high data quality while minimizing processing time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual data validation with automated computer-based validation that checks extracted data against predefined enterprise logic and rules. This substitution performs comprehensive validation instantaneously without the time cost of manual review, maintaining high data quality through systematic automated checking while significantly reducing processing time compared to human validation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250191712A1System and method for claims medical record automation

Publication Date: 2025.06.12 HARTFORD FIRE INSURANCE CO

AI summary

A system may include an incoming image document data store containing electronic records. Each record may include an image document identifier and an image file along with associated optical character recognition and natural language processing information generated by a cloud-based computing environment. An incoming image document tool receives, from a remote user device, an indication of a selected image document. The tool may then retrieve information about the selected image document and automatically map at least some of the associated optical character recognition and natural language processing information to pre-defined document classification fields. The tool may display the mapped information and receive an indication of acceptance. The mapped information and image file may then be stored in an enterprise data store and a workflow may be automatically assigned to the selected image document in accordance with the mapped information and enterprise logic.