Medical Device Data Recorder Query-Based Filtering
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Solution Overview
Problem
The challenge lies in efficiently filtering out irrelevant data for machine-learning models, particularly in medical facilities, where large volumes of data are collected but often have low relevance and reliability, leading to high processing and storage costs.
Innovation Solution
A device and data management system that allows on-demand data recording, selection, and transmission based on specific queries, reducing irrelevant data storage and transmission by using an input interface, data recorder, data processor, and output interface to provide structured and unstructured data with annotations, and a query controller to manage data requests across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large amounts of data are collected continuously, then data volume increases, but data relevance decreases and processing costs increase
Solution Approach 1:
The system performs preliminary actions by setting up query-based data collection mechanisms in advance. Instead of collecting all data continuously and then filtering, the system pre-configures specific queries that devices should respond to, collecting only relevant data from the outset. This resolves the contradiction by ensuring data relevance (improving reliability) while maintaining manageable data volumes.
Solution Approach 2:
The system extracts only the necessary portions of data that match specific queries. Devices receive queries and selectively output only the data portions that answer those queries, rather than transmitting all collected data. This extraction approach maintains data relevance while controlling data volume and associated processing costs.
2Loss of information
If all collected data are processed and stored, then data availability increases, but processing and storage costs increase
Solution Approach 1:
The system extracts and processes only the specific data portions that are requested through queries. Rather than processing all collected data, the data processor selectively retrieves and processes only those data elements that match query criteria, significantly reducing processing and storage costs while maintaining availability of needed information.
Solution Approach 2:
Devices autonomously respond to queries by selecting and outputting only their relevant data portions without requiring centralized processing of all data. This self-service approach at the device level reduces the burden on central processing and storage systems, lowering overall processing costs while ensuring data availability when needed.
3Reliability
If data filtering is performed to obtain suitable training data, then data relevance improves, but processing time increases
Solution Approach 1:
The system performs filtering actions preliminarily by configuring devices to respond only to specific queries. Data relevance is ensured in advance through query-based selection rather than post-collection filtering, significantly reducing the time required to obtain suitable training data while maintaining high relevance.
Solution Approach 2:
The system extracts relevant data directly at the source through query-response mechanisms. Devices extract and output only the data portions matching query criteria, eliminating the need for time-consuming centralized filtering processes and rapidly providing relevant training data.
4Reliability
If structured data with annotations are recorded, then data quality improves, but device complexity increases
Solution Approach 1:
The data recorder is designed with multi-functionality, handling both structured and unstructured data formats, annotations, and query-response operations through a single integrated component. This universal approach improves data quality through comprehensive recording capabilities while avoiding the complexity of multiple separate systems.
Data Source
AI summary
A device for performing a function in a medical facility is provided, together with a data management system including such a device as well as to a related method for providing data. The device includes: an input interface configured to receive a query for data; a functional unit configured to perform a function of the device; a data recorder configured to record, periodically or continuously, data pertaining to the function of the device; a data processor configured to select, based on the query, a portion of the recorded data; and an output interface configured to output an output signal providing the selected portion of the recorded data in response to the query.