Patient Sample Data Checkpoints for Error Localization
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Solution Overview
Problem
Modern healthcare facilities face challenges in managing and processing patient-related and device-related medical data across distributed systems, leading to issues with data reliability, timely delivery, and compliance with regulatory requirements, particularly in complex systems with multiple devices from different manufacturers.
Innovation Solution
A patient sample analysis system with check points and an error handler to identify, localize, and correct errors in the data path, using unique identifiers and time stamps for precise record-keeping and efficient error handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If distributed medical analysis devices from multiple manufacturers are integrated into a data management system, then the system's versatility and coverage are improved, but the device complexity and difficulty of detecting and measuring errors increase
Solution Approach 1:
The patent segments the data path into multiple defined sections with check points at strategic locations. Each check point independently monitors specific parameters, allowing the complex system to be divided into manageable monitoring units that can detect and localize errors without requiring complete system redesign.
Solution Approach 2:
The patent introduces check points as intermediary monitoring elements between the medical analysis devices and the data management system. These check points act as mediators that standardize error detection across different manufacturers' devices, providing a unified error monitoring interface without requiring changes to the diverse device portfolio.
2Reliability
If extensive compliance requirements and quality control procedures are implemented, then data reliability is improved, but the processing time and system complexity increase
Solution Approach 1:
The patent implements check points that perform compliance verification and error detection at predefined stages before data leaves the data management system. By conducting quality control checks preliminarily at each check point, the system ensures data reliability without requiring extensive post-processing verification, thus reducing overall processing time.
Solution Approach 2:
The patent establishes feedback loops at each check point where measurement results are immediately verified against compliance requirements. Error information is fed back to the appropriate data path section for corrective action, enabling real-time quality control that maintains reliability while preventing time-consuming rework later in the process.
3Difficulty of detecting and measuring
If multiple check points are implemented to localize errors, then error detection capability is improved, but the device complexity and data processing overhead increase
Solution Approach 1:
The patent divides the data path into distinct sections with check points positioned at boundaries. Each check point monitors a specific segment, allowing errors to be localized to particular data path sections. This segmentation enables efficient error detection without requiring a monolithic monitoring system, reducing overall architectural complexity.
Solution Approach 2:
The patent implements check points at strategically critical locations in the data path rather than uniformly throughout. This partial monitoring approach focuses resources on key error-prone areas, achieving sufficient error detection capability without the excessive complexity of comprehensive monitoring at every possible point in the system.
Data Source
AI summary
The invention relates to a patient sample analysis system. The system comprises: at least one medical analysis device adapted to receive a sample, perform a measurement on the sample, and produce a measurement result based on the measurement, wherein the measurement result has a unique identifier; and a medical device management apparatus comprising an input interface adapted to collect the measurement result from the at least one medical analysis device, an output interface adapted to output sample analysis data based on the measurement result towards a point of delivery, and at least one processing module arranged in a data path extending from an upstream end at the input interface to a downstream end at the output interface. The patient sample analysis system further comprises: one or more check points arranged in the data path, wherein each check point is configured to identify the result by the unique identifier and to add a corresponding result status entry in relation to the unique identifier to a check point record, when the result is passed through said check point; and an error handler operable to inspect the check point record, detect the occurrence of an error based on that inspection, determine an error location of the error on the data path, and develop an error correction based on the error location. In a further aspect, a corresponding method for handling medical sample analysis is disclosed.