Medical Quality Indicator System Using Cached Data Retrieval
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Solution Overview
Problem
Existing systems for managing medical quality indicators face challenges in efficiently retrieving and managing scattered data from different subsystem databases, leading to system instability and difficulties in accessing real-time information.
Innovation Solution
A system comprising a target database, a data retrieving module, a data analyzing module, and a data visualization module, which retrieves and preprocesses data from primary databases based on operational definitions and update frequencies, and presents statistical data through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is retrieved at high frequencies from subsystem databases, then real-time information access is improved, but system stability deteriorates
Solution Approach 1:
The patent implements preliminary data retrieval and caching mechanisms where data is fetched from subsystem databases in advance and stored in a local cache structure. This allows the system to provide real-time information access without continuously querying external databases, thereby maintaining system stability while reducing information loss.
Solution Approach 2:
The patent creates a copy of the data structure in the target database that mirrors the subsystem databases. This copy is updated periodically or event-driven, allowing the system to access real-time information through the local copy without directly querying the original subsystem databases, thus preventing system instability.
2Loss of information
If data is retrieved frequently from multiple subsystem databases, then data freshness is improved, but computational resources and costs increase
Solution Approach 1:
The patent merges multiple subsystem databases into a single target database with a unified data structure. This consolidation eliminates the need to repeatedly query multiple external databases, reducing computational resources while maintaining data freshness through a single centralized data source that is updated efficiently.
Solution Approach 2:
The system performs preliminary data synchronization from subsystem databases to the target database at optimized intervals. By pre-fetching and caching data in the target database, the system reduces the frequency of computational operations required to access fresh data, thereby lowering energy consumption while preserving data freshness.
3Reliability
If data is stored and processed in a centralized target database, then system stability is improved, but data retrieval complexity increases
Solution Approach 1:
The patent designs the target database with a universal data structure that can store data from multiple subsystem databases in a unified format. This multi-functional database structure simplifies data retrieval operations by providing a consistent interface for accessing data from various sources, reducing retrieval complexity while maintaining system stability.
Solution Approach 2:
The target database acts as an intermediary layer between the subsystem databases and the application layer. It provides a simplified, standardized interface for data retrieval, abstracting away the complexity of multiple external database systems. This mediator approach maintains system stability while reducing the complexity of data access operations.
Data Source
AI summary
Disclosed is a system for managing medical quality indicator, which includes a target medical information database, a data retrieving module, a data analyzing module and a data visualization module. The data retrieving module and the data analyzing module is connected to the target medical information database. The data analyzing module performs data confirmation and data exclusion to the plurality of structured data according to an operational definition, and performs computation to the plurality of structured data according to a viewing request, to obtain a set of statistical data. The data visualization module is connected to the data analyzing module and is used to display the set of statistical data through a user interface.