Personalized Health Record Threading System
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Solution Overview
Problem
Health professionals face challenges in managing and analyzing vast amounts of medical information due to the rapid growth of medical knowledge, with existing systems struggling to organize and present clinically relevant information in a user-friendly manner, especially in personal health records.
Innovation Solution
A threading system that processes personal health records by creating event-concept pairs, identifying associations, and linking them to form threads, which presents clinically related events chronologically, allowing for organized viewing and analysis of health records, and aggregates relationships across multiple records for medical research.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical information is stored in searchable databases and online sites, then the quantity of medical knowledge is increased, but the difficulty of organizing and presenting clinically relevant information increases
Solution Approach 1:
The patent segments medical information into discrete events with specific attributes (event type, date, time, location, performer, patient, description) and organizes them into structured records. This segmentation allows vast amounts of medical knowledge to be divided into manageable, searchable units that can be easily organized and presented based on clinical relevance.
Solution Approach 2:
The patent introduces an intermediary processing system that receives unstructured or semi-structured medical data, applies classification rules and algorithms to identify clinically relevant information, and transforms it into organized event-based records. This intermediary layer bridges the gap between raw medical data and clinically useful information presentations.
2Adaptability or versatility
If personal health records include multiple items of different types, then the comprehensiveness of health information is improved, but the complexity of utilizing relationships among items increases
Solution Approach 1:
The patent creates a universal event-based framework where diverse health information items (conditions, symptoms, diagnoses, test results, medications, allergies, procedures) are all represented as events with standardized attributes. This multi-functional structure allows the system to handle various types of health information uniformly, making relationships among items easier to utilize through consistent query and analysis mechanisms.
Solution Approach 2:
The patent transforms heterogeneous health information into a standardized parameter structure where each event has defined attributes (event type, date, time, location, performer, patient, description). This parameterization changes the complexity from dealing with unstructured diverse items to managing structured events with consistent properties, facilitating easier relationship analysis.
3Quantity of substance
If medical knowledge grows rapidly, then the breadth of medical information is increased, but the ability of health professionals to remember and use all relevant information deteriorates
Solution Approach 1:
The patent implements a self-service information retrieval system where health professionals can query organized event-based health records using standardized event types and attributes. The system automatically retrieves and presents relevant information based on clinical queries, eliminating the need for professionals to manually remember vast amounts of medical knowledge while maintaining easy access to comprehensive information.
Data Source
AI summary
A method for processing a personal health record (PHR) which includes a plurality of events each having a time stamp. The method includes creating a plurality of event-concept pairs by mapping each of the plurality of events in the PHR to a corresponding health concept, assigning to each of the plurality of event-concept pairs the time stamp of the event corresponding to the event-concept pair, identifying associations among the plurality of event-concept pairs, identifying an associative subset of event-concept pairs among the plurality of event-concept pairs, and linking a plurality of members of the associative subset of event-concept pairs to form a thread, in which the thread presents a relationship among the plurality of members of the associative subset of event-concept pairs.