Topic-Focused Data Marts for Real-Time Health Data Access
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Solution Overview
Problem
Health-related data management systems face challenges in real-time data analysis and querying due to the variety and depth of data in large data warehouses, which impedes performance and does not support robust web access necessary for healthcare delivery.
Innovation Solution
The system associates multiple data sources into a web-accessible framework using topic-focused data marts with a common structure, each associated with a web service providing standard and custom features, enabling real-time access and efficient data retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in large data warehouses with variety and depth, then data comprehensiveness is improved, but data access performance and web accessibility deteriorate
Solution Approach 1:
The patent divides the large data warehouse into multiple topic-focused data marts (e.g., clinical trials data mart, drug safety data mart, epidemiology data mart). Each data mart contains a specific subset of data organized around a particular topic, enabling focused and efficient queries without scanning the entire warehouse. This segmentation resolves the contradiction by maintaining data comprehensiveness across multiple marts while improving access performance within each mart.
Solution Approach 2:
The patent introduces web services as an intermediary layer between the data marts and users. These web services provide standardized access points (e.g., RESTful APIs) that simplify data retrieval and eliminate the need for users to directly query complex database structures. This intermediary layer improves web accessibility and access performance while preserving the comprehensive data storage in the segmented marts.
2Quantity of substance
If data warehouses are structured for comprehensive storage, then data depth is improved, but real-time web access capability deteriorates
Solution Approach 1:
By organizing data into topic-focused data marts with standardized schemas, the patent enables real-time access to specific data subsets without querying the entire warehouse. Each data mart is optimized for its specific topic, allowing rapid retrieval of relevant data while maintaining comprehensive storage capacity across all marts.
Solution Approach 2:
The patent implements universal web service interfaces that provide consistent access methods across all data marts. Standardized APIs (e.g., GET requests for data retrieval, POST requests for updates) enable real-time web access to diverse data types without requiring topic-specific query knowledge. This universal interface layer maintains data depth while dramatically improving ease of real-time access.
3Adaptability or versatility
If typical querying strategies are used on large data warehouses, then data variety is handled, but query performance deteriorates
Solution Approach 1:
The patent segments the data warehouse into topic-focused data marts, each optimized for specific query patterns and data types. This segmentation allows queries to be directed to the most relevant data mart, reducing the data scan volume and improving query performance while still handling diverse data varieties across different marts.
Solution Approach 2:
Each data mart is structured with local optimizations for its specific topic (e.g., clinical trials data mart has trial-specific schemas, drug safety data mart has adverse event tracking structures). This local quality enables efficient querying within each domain while maintaining the ability to handle diverse data varieties across the entire system through the coordinated data mart architecture.
Data Source
AI summary
Systems, methods, and computer-readable media for associating multiple data sources into a web-accessible framework. Health data is received from multiple data sources and is used to populate a framework comprising at least one topic focused data mart. Each topic focused data mart has a common structure and is associated with a web service providing standard features supported by each topic focused data mart and custom features specific to a topic associated with each topic focused data mart. In various embodiments, demographic information is received from a clinician and is utilized to present context-specific data derived from the topic focused data mart.