Analytical Device Message Filter Configuration for POC Data Management
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Solution Overview
Problem
In clinical care environments, Point of Care (POC) devices generate a large number of device messages, making it challenging to monitor the status of multiple devices coherently, leading to inefficiencies in data management and user interface performance.
Innovation Solution
A computer-implemented method generates a message filter configuration based on message priority indications from a first analyzer network, allowing for the filtering of analytical device status data to prioritize important messages, thereby reducing the load on data processing agents and improving user interface performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all analytical device status data is displayed to ensure complete information monitoring, then information completeness is improved, but system performance deteriorates due to increased computational load and latency
Solution Approach 1:
The patent extracts only the most relevant analytical device status data from the complete message stream by applying user-defined filters and priority indications. The system separates important messages (those matching user criteria) from less important messages, allowing selective display that maintains information completeness for critical items while reducing overall processing load.
Solution Approach 2:
The patent applies different display qualities to different messages based on their importance. Critical messages matching user filters are displayed with full detail and immediate priority, while less important messages are either filtered out, aggregated, or displayed with reduced detail. This local differentiation optimizes system performance for the most critical information.
2Productivity
If message filtering is applied to reduce data volume, then system performance is improved, but message relevance may be lost
Solution Approach 1:
The patent implements feedback mechanisms where users provide priority indications and filter definitions based on their specific needs. The system learns from user interactions and adjusts filtering automatically, ensuring that relevant messages are not lost. Users can refine filters and priority settings based on displayed message relevance, creating a continuous feedback loop that maintains message quality.
Solution Approach 2:
The patent employs dynamic filtering that adapts to changing user needs and message patterns. Filter criteria and priority levels can be adjusted in real-time based on user actions, ensuring that message relevance is maintained while optimizing performance. The system dynamically responds to user feedback and evolving requirements.
3Reliability
If data processing agent processes all incoming messages, then complete status monitoring is achieved, but computational resources are exhausted
Solution Approach 1:
The patent performs preliminary filtering and prioritization of messages before they reach the full data processing agent. By pre-processing messages through filter configuration and priority indication mechanisms, the system reduces the volume of data requiring intensive processing, thereby conserving computational resources while maintaining monitoring reliability for critical items.
Solution Approach 2:
The patent segments the message processing workflow into distinct stages: initial filtering by user-defined criteria, priority assessment, and selective full processing. This segmentation allows the system to apply computational resources efficiently, processing only the most critical messages in detail while handling less important messages through lighter processing paths.
4Loss of information
If user interface displays all device messages, then comprehensive information is provided, but latency increases due to processing time
Solution Approach 1:
The patent extracts and prioritizes the most time-critical messages from the complete message stream. By identifying and displaying only the most important messages immediately, the system reduces latency for critical information while maintaining the option to access complete information through filtered views or detailed monitoring modes.
Data Source
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AI summary
A computer implemented method and associated apparatus, networked system, computer readable medium, and computer program element are discussed. The computer implemented method generates a message filter configuration based on a message priority indication received from a first analyzer network (10A). The first analyzer network comprises at least one analytical device (P 1A-P7A) configured to generate a message. The method comprises receiving, at a data processing agent (23), a message priority indication indicating a priority assigned to the message in the first analyzer network (10A), providing, at the data processing agent (23), at least one message filter configuration based on the message priority indication of the message, and communicating the message filter configuration, or a portion thereof, to a second analyzer network (10B) comprising a second analytical device (P1B-P7B).