Clinical Report Retrieval and Comparison via Semantic Timeline
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Solution Overview
Problem
Manual review and interpretation of clinical reports are time-consuming and prone to errors, and existing electronic medical record systems lack functionality to automatically compare longitudinal reports, making it challenging to extract clinically relevant connections for informed decision-making.
Innovation Solution
A system that classifies clinical reports by anatomical organ or disease, retrieves relevant reports, builds a model to predict semantic relationships, compares parameter values or keywords, constructs a graphical timeline, and visually presents highlighted differences to facilitate clinical decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and interpretation of clinical reports is performed, then clinicians can understand patient scenarios and interpret structured data, but it is time-consuming and prone to human errors
Solution Approach 1:
The system enables self-service by allowing the computational system to automatically retrieve, classify, group, and compare clinical reports without requiring manual clinician intervention for each report, thereby reducing time loss while maintaining interpretation accuracy through automated analysis
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computational system that uses algorithms to retrieve, classify, group, and compare clinical reports, substituting human manual labor with automated processing to eliminate human errors and reduce time consumption
2Ease of operation
If existing EMR systems provide access to clinical reports via queries, then clinicians can access archived reports, but technical bottlenecks make accessing archived reports very challenging
Solution Approach 1:
The patent introduces an intermediary computational system that acts as a mediator between clinicians and archived clinical reports. This system automatically retrieves reports based on classification and grouping criteria, simplifying the access process for users while managing the technical complexity of querying large databases through automated intermediate processing
3Adaptability or versatility
If EMR systems do not provide functionalities to automatically compare longitudinal reports, then system complexity is reduced, but clinicians cannot extract clinically relevant connections that inform decision making
Solution Approach 1:
The system performs preliminary actions by automatically retrieving, classifying, grouping, and comparing clinical reports before clinicians need to make decisions. This advance processing extracts clinically relevant connections and presents them in a structured format, enhancing adaptability for decision-making while managing complexity through automated preliminary analysis
Solution Approach 2:
The patent applies segmentation by dividing the clinical report analysis into distinct automated stages: retrieval based on classification, grouping by anatomical organ or disease, comparison of parameter values, and extraction of relevant connections. This segmentation of functionality enhances versatility for clinical decision-making while organizing system complexity into manageable modular components
Data Source
AI summary
Instructions (108) cause a processor (104) to: classify a clinical report for a subject under evaluation by one of anatomical organ or disease; identify and retrieve clinical reports for the same subject from the healthcare data source(s); group the retrieved clinical report by one of anatomical organ or disease; select a group of the clinical report, wherein the group includes reports for a same or related one of the anatomical organ or the disease; build a model that predicts semantic relationships between nodes in the reports in the selected group of reports based on one or more of extracted parameters or keywords; compare one of the parameter values or the keywords across the reports using the model; construct a graphical timeline of the reports; highlight differences in the parameter values or the keywords based on a result of the compare; and visually present the graphical timeline with the highlighted differences.