Auto Verification System for Diagnostic Analyzers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing diagnostic analyzers face challenges in verifying test results due to network communication errors, which can lead to data loss and disrupt the verification process, necessitating a solution for continuous auto-verification both remotely and locally.
Innovation Solution
A system comprising a local and cloud-based verification method, where test results are verified using rules stored in both systems, allowing for continuous auto-verification even when network connectivity is lost, with the local system acting as a backup to ensure uninterrupted validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If test results are verified remotely via network cloud system, then verification can be performed with centralized rules, but network communication errors may cause data loss and interrupt verification
Solution Approach 1:
The local system stores verification rules locally in advance, creating a backup verification capability before network failures occur. This allows the system to continue verifying test results using locally stored rules even when network communication fails, preventing data loss and ensuring continuous operation.
Solution Approach 2:
The patent implements different verification capabilities at different locations: the cloud system provides centralized rule management while the local system provides autonomous verification capability. This local quality ensures that verification can occur independently at the local level when network conditions are poor, while still benefiting from centralized rule updates when available.
2Measurement precision
If all test results are manually verified one by one, then verification accuracy can be ensured, but it becomes quite burdensome and time-consuming
Solution Approach 1:
The system implements automated verification where the local system independently executes verification rules against test results without requiring manual intervention for each result. The system self-manages the verification process, automatically comparing results against stored rules and determining validity, thereby maintaining accuracy while dramatically reducing time consumption.
Solution Approach 2:
The verification system provides automated feedback by comparing test results against predetermined rules and automatically determining whether results are valid or require manual review. This feedback mechanism maintains verification accuracy through systematic rule-based evaluation while eliminating the time burden of manual verification.
3Adaptability or versatility
If verification rules are stored only in the cloud system, then centralization is achieved, but verification cannot be performed when cloud connection is lost
Solution Approach 1:
The patent segments the verification rules into two locations: the cloud system stores the master copy of rules for centralized management and updates, while the local system stores a local copy for autonomous operation. This segmentation allows the system to benefit from centralized rule management when connected while maintaining continuous verification capability when disconnected.
Solution Approach 2:
The local system performs preliminary action by storing verification rules locally in advance before network disconnection occurs. This preliminary preparation ensures that when cloud connection is lost, the system can immediately continue verification operations using the pre-stored local rules without interruption.
4Reliability
If local verification is implemented as backup, then continuous verification is ensured, but system complexity increases with dual verification systems
Solution Approach 1:
The local system is designed with multi-functionality: it can operate as a standalone verification system when disconnected from the cloud, and simultaneously serves as a synchronized partner to the cloud system when connected. This universal design allows a single system to fulfill multiple roles, reducing the need for completely separate backup infrastructure and thereby limiting the increase in overall system complexity.
Data Source
AI summary
An analyzer analyzes patient samples and the test results are then validated. The validation of test results may be performed either remotely over a network or at a local computer. For example, while network communication errors may prevent remote validation, the local validation could still be performed, which allows auto validation to be continuously performed. The validation of the test results of the patient sample obtained by the analyzer may further be performed by: 1) the first rule included in the first system of the laboratory; and 2) the second rule included in the second system accessible remotely via the network. The present disclosure further relates to an inspection management method based on at least one of the two rules.