Case-Specific Medical Information Retrieval System
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Solution Overview
Problem
The exponential growth of medical image data and constantly updating medical knowledge makes it difficult for medical practitioners to efficiently interpret and evaluate patient-related information, undermining diagnostic efficiency.
Innovation Solution
A method for case-specific information retrieval that matches clinical guidelines with patient-related information, dynamically updating clinical guidelines, and displaying relevant information in a user-friendly interface, with configurable weight factors and geo-specific adaptations, ensuring only the most recent guidelines are applied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical practitioners manually review all patient-related medical data and images, then comprehensive evaluation is achieved, but diagnostic time and workload increase exponentially
Solution Approach 1:
The patent introduces an intermediary system comprising a processor that automatically retrieves clinical guidelines, matches them with patient data, and generates structured evaluation reports. This intermediary handles the complex matching and comparison tasks between medical guidelines and patient information, freeing practitioners from manual review while maintaining comprehensive evaluation quality
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated information processing system that uses algorithms to retrieve, match, and evaluate medical data against clinical guidelines. The system substitutes human manual labor with automated computational processes that can handle large volumes of medical data efficiently
2Reliability
If medical practitioners access all available medical guidelines and updates, then diagnostic accuracy improves, but information overload and interpretation difficulty increase
Solution Approach 1:
The patent extracts only the relevant portions of clinical guidelines that apply to specific patient cases. The system retrieves comprehensive medical guidelines but then filters and extracts only the matching portions through automated matching processes, presenting practitioners with condensed, case-specific information rather than overwhelming them with all available guidelines
Solution Approach 2:
The patent segments the vast body of medical guidelines into disease-specific, condition-specific, and patient-specific subsets. The information is divided into structured categories and matched to specific patient parameters, transforming the monolithic body of medical knowledge into manageable, targeted information segments
3Measurement precision
If comprehensive patient data is stored and accessed, then diagnostic completeness is improved, but data retrieval and matching complexity increases
Solution Approach 1:
The patent employs an intermediary processing system that automatically retrieves patient data from storage, matches it against clinical guidelines, and generates structured evaluation results. This intermediary layer handles the complex data matching and integration tasks, presenting organized information to practitioners without exposing them to the underlying data complexity
Solution Approach 2:
The patent implements dynamic data retrieval and matching processes that adapt to specific patient cases. The system dynamically queries only the relevant patient data needed for the current evaluation, rather than statically processing all available data, thereby reducing processing complexity while maintaining diagnostic completeness
Data Source
AI summary
There is provided a method and system for case-specific information retrieval from a medical database system. The information to be retrieved comprises at least two categories, clinical guidelines related information and patient related information. The method comprises the steps of accessing a database for retrieval of the clinical guidelines related information and accessing a database for retrieval of the patient related data; matching the accesses; displaying the retrieved clinical guidelines related information and the patient related information and the matched pairs of accesses.