QC Data Flow Architecture for Secure Cloud Quality Control
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Solution Overview
Problem
Existing QC data management approaches are time-consuming, prone to human error, and require customized software/hardware for each site, making support and updates difficult.
Innovation Solution
A cloud-based QC data management system with an on-site QC data flow system that filters and uploads data in a format-agnostic manner, enabling uniform software/hardware across sites and secure bi-directional communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual transfer of QC data from instrument to on-site QC data management system is used, then data can be transferred, but human error and data integrity issues occur
Solution Approach 1:
The patent introduces an on-site QC data flow system as an intermediary between the instrument and the cloud-based QC data management system. This intermediary automatically receives QC data from the instrument, filters it according to predefined rules, and transmits it to the cloud system, eliminating manual data transfer operations and ensuring data integrity through automated processes.
2Adaptability or versatility
If QC data management software is customized for each site, then site-specific requirements are met, but support, maintenance, and updates become difficult
Solution Approach 1:
The patent segments the QC data management system into two independent parts: a standardized cloud-based platform that handles core functionality and receives updates centrally, and a local data flow system that can be configured for site-specific requirements. This segmentation allows the cloud platform to maintain uniformity for easy maintenance while the local system provides customization, and updates to the cloud platform are automatically propagated to all sites.
3Productivity
If instruments interact directly with cloud-based system, then cloud processing advantages are realized, but security concerns increase
Solution Approach 1:
The patent introduces an on-site QC data flow system as a secure intermediary between instruments and the cloud-based QC data management system. This intermediary filters and processes data locally according to predefined rules before transmitting to the cloud, eliminating direct instrument-cloud connections and reducing security risks while maintaining cloud processing efficiency.
4Reliability
If on-site QC data flow system with filtering is used, then data security and standardization improve, but system complexity increases
Solution Approach 1:
The patent implements a universal on-site QC data flow system that handles multiple functions: receiving data from various instruments, filtering according to configurable rules, storing data locally, and transmitting to the cloud. By consolidating these functions into a single multi-functional system rather than separate components, the architecture achieves improved security and standardization without excessive complexity.
Data Source
AI summary
One or more instruments generate test result data. The test result data include patient data and QC data. The test result data is provided to a QC data flow system via a local network, which filters the test result data (e.g., using a set of rules) to extract the QC data. The QC data is provided to a cloud-based QC data management platform via an external network. The cloud-based QC data management platform analyzes the QC data and provides a result back to the QC data flow system. The QC data flow system forwards the result to middleware or the instrument, which triggers a corrective action based on the result as appropriate.WO