Aggregating Medical Reports via NLP to Reduce Radiologist Review Time
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Solution Overview
Problem
Radiologists face inefficiencies in finding relevant clinical information across multiple prior radiology studies, EMRs, and lab reports, requiring them to read multiple reports sequentially and often leading to wasted effort due to redundant information.
Innovation Solution
A system and method for aggregating and presenting summarized patient information, utilizing natural language processing and content comparison to extract and display relevant clinical information from multiple reports, omitting redundant data, and providing a summarized view and dashboard interface for radiologists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If radiologists read multiple prior studies and reports sequentially to understand patient history, then complete clinical information is obtained, but significant time is wasted and effort is redundant
Solution Approach 1:
The patent merges multiple prior radiology studies, EMRs, pathology reports, and lab reports into a single integrated patient history view. This consolidation allows radiologists to access all relevant clinical information from multiple sources simultaneously rather than sequentially reviewing each report, thereby maintaining information completeness while dramatically reducing review time.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically retrieves, parses, and synthesizes information from multiple disparate medical records and reports. This intermediary system pre-processes the data before presentation to the radiologist, eliminating the need for manual sequential review while ensuring all critical clinical information is captured and organized.
2Loss of information
If all information from multiple reports is presented to radiologists, then complete contextual information is available, but the presentation becomes cumbersome and difficult to navigate
Solution Approach 1:
The patent segments the aggregated patient information into distinct, organized categories such as prior radiology studies, electronic medical records, pathology reports, and laboratory results. This segmentation allows radiologists to access specific types of information efficiently while maintaining the ability to view the complete integrated picture, thereby improving ease of operation without sacrificing information availability.
Solution Approach 2:
The system applies local quality by providing different levels of information detail and organization based on the specific needs of the radiologist's current task. The interface can dynamically adjust the presentation of information, highlighting relevant findings and suppressing redundant details in specific contexts, making the comprehensive information set more accessible and easier to navigate.
3Reliability
If redundant information is included in the patient history view, then complete information is preserved, but the radiologist's efficiency is reduced due to wasted effort
Solution Approach 1:
The system extracts and identifies redundant information across multiple reports using natural language processing and comparison algorithms. Redundant findings and repetitive information are automatically filtered out or consolidated, while preserving the essential clinical data needed for accurate diagnosis. This extraction process maintains information reliability by keeping all unique findings while removing unnecessary duplication that reduces radiologist productivity.
Data Source
AI summary
A system and method for presenting summarized information of medical reports. The system and method receiving a plurality of medical reports, each medical report including a plurality of sections, each of the sections including text content, correlating corresponding sections of each of the medical reports into section types, extracting the text content of the sections of the medical reports for a selected section type and aggregating, into a single display, the text content of the sections of all the medical reports for the selected section type.