Longitudinal Medical Report Linking Using Concept-Annotated References
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Solution Overview
Problem
Existing methods for creating longitudinal medical reports often result in isolated documents with diverging structures, leading to poor analyzability and potential loss of valuable information due to the lack of formalized reference to previous reports, which can lead to errors and oversight.
Innovation Solution
A method and system that utilize a medical annotation database to link longitudinal report data elements with reference report data structures based on relationships between medical concepts, generating pointers and interface elements to enhance the creation of comprehensive longitudinal reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physicians manually scan through multiple previous reports to find relevant information, then they can potentially reference relevant past data, but it consumes significant time and may lead to oversight of relevant information
Solution Approach 1:
The patent replaces the manual mechanical scanning process with an automated computer-based system. The system automatically retrieves, displays, and links to relevant previous reports using computational algorithms, eliminating the need for physicians to manually search through documents while ensuring comprehensive coverage of relevant information.
Solution Approach 2:
The system performs self-service by automatically identifying and presenting relevant previous reports based on the current examination context. The computer system independently searches through medical records, determines relevance, and prepares reference materials without requiring physician intervention for the search process itself.
2Productivity
If physicians create isolated documents for each examination without formalized reference to previous reports, then the reporting process is simple and quick, but it results in poor analyzability and potential loss of valuable information
Solution Approach 1:
The patent merges the current examination report with references to previous reports through automated linking mechanisms. The system combines information from multiple time points into a unified view while maintaining the speed of individual report generation, ensuring that medical history information is preserved and accessible without slowing down the reporting process.
3Loss of time
If physicians briefly scan over previous reports to save time, then they can reduce time consumption, but they may overlook relevant previous reports and valuable information
Solution Approach 1:
The system replaces manual scanning with automated computational algorithms that systematically review previous reports. The computer-based approach ensures thorough examination of all relevant documents without time constraints, maintaining both speed and accuracy in identifying relevant information.
Data Source
AI summary
Creating a medical report, indicative of a longitudinal examination includes receiving an input longitudinal report data structure having longitudinal data elements, which are associated with annotation elements of a medical annotation database that is indicative of relationships between medical concepts. A set of reference report data structures is received, which has reference data elements associated with annotation elements of the medical annotation database. For each longitudinal data elements, it is determined whether the longitudinal data element can be linked with a reference data element of at least one reference report data structure from the set of reference report data structures. The determining is made based on the associated annotation elements and based on the medical annotation database. An interface element indicative of a pointer from the input longitudinal report data structure to the reference report data structure having the linked reference data element, is outputted responsive to the determining.


