Medical Information Navigation Engine Clustering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The medical information management system faces challenges with unreliability, lack of standardization, and poor accessibility, leading to increased medical costs and compromised patient privacy, with no efficient method for tracking patient information across multiple sources and maintaining secure remote access.
Innovation Solution
A medical information navigation engine (MINE) that includes a medical information interface, reconciliation engine, and intent-based presentation engine, capable of receiving and reconciling medical information from multiple sources, applying clustering rules, and providing secure, user-specific access to relevant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical information is consolidated from multiple sources, then reliability and accessibility are improved, but system complexity increases
Solution Approach 1:
The patent introduces a medical information navigation engine as an intermediary system that sits between multiple medical information sources and users. This engine reconciles data from diverse sources, applies clustering rules to organize information, and presents it in a standardized format, thereby improving reliability without requiring direct integration of all source systems into a single complex database.
Solution Approach 2:
The system segments the medical information management process into distinct functional components: information reception from multiple sources, reconciliation of conflicting data, intent-based clustering of reconciled information, and presentation to users. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining high reliability.
2Loss of information
If medical information from multiple sources is integrated, then completeness of patient data improves, but data redundancy and inconsistency increase
Solution Approach 1:
The reconciliation engine acts as an intermediary that receives medical information from multiple sources and applies reconciliation rules to resolve inconsistencies. It identifies and merges duplicate patient records, standardizes data formats, and resolves conflicting information before passing reconciled data to the clustering engine, thereby maintaining data consistency while preserving completeness.
Solution Approach 2:
The system changes the parameters of medical information data by applying transformation rules during reconciliation. This includes standardizing data formats, normalizing patient identifiers, and transforming varied medical terminology into consistent representations, which resolves inconsistency while maintaining the completeness of the underlying medical information.
3Ease of operation
If patient access to medical information is expanded, then patient control and accessibility improve, but privacy security risks increase
Solution Approach 1:
The system implements local quality control by providing different levels of information access to different user types. Patients receive access to their own medical information through the presentation engine, while healthcare professionals receive additional clinically relevant data. This differentiated access approach improves patient control and accessibility while maintaining security by limiting each user's access to only what is necessary for their role.
Data Source
AI summary
A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.