Immune Pathway Data Integration for Adaptive Lab Test Triggering
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Solution Overview
Problem
Current laboratory systems operate in silos, with variable and changing processes, lacking automation and adaptability, and often require manual initiation of tests by physicians based on standardized controls, leading to non-standardized data outputs and inefficient communication of results to stakeholders.
Innovation Solution
An immune pathway management system that integrates laboratory and medical data management systems, utilizing artificial intelligence and machine learning to analyze specimens, provide standardized results, and trigger actionable events through a mobile application, enabling real-time notifications and adaptive testing recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If laboratory systems operate as siloed entities with traditional LIMS, then each laboratory maintains independence and standardized controls, but data output becomes highly variable and non-standardized, and communication efficiency deteriorates
Solution Approach 1:
The patent creates a universal data exchange framework that enables multiple laboratory LIMS systems to communicate through a common standardized interface. The system acts as a mediator that translates between different laboratory data formats and a universal standard, allowing each laboratory to maintain its own controls while contributing to standardized aggregate data output.
Solution Approach 2:
The patent introduces an intermediary data exchange layer between siloed laboratory systems. This intermediary component receives data from various LIMS systems, standardizes the format, and distributes it to appropriate stakeholders, resolving the contradiction between maintaining laboratory independence and achieving data standardization.
2Reliability
If physicians manually initiate additional laboratory tests based on standardized controls, then testing is triggered only when abnormalities are detected, but the process loses time and reduces productivity
Solution Approach 1:
The patent implements automated feedback loops where the system continuously monitors laboratory results and automatically triggers additional testing when predefined criteria are met. This feedback mechanism eliminates manual physician intervention for test initiation while maintaining reliable abnormality detection, thereby improving productivity without sacrificing reliability.
Solution Approach 2:
The system performs preliminary analysis of laboratory results and pre-identifies cases requiring additional testing before physician review. By preparing and flagging abnormal results in advance with suggested follow-up tests, the system enables faster response times while maintaining detection reliability.
3Adaptability or versatility
If different LIMS systems interface with different lab assays and machines, then system flexibility and adaptability are maintained, but data formatting and output become widely variable
Solution Approach 1:
The patent employs parameter transformation techniques that dynamically adjust data formatting based on the source system while converging to a standardized output format. The system recognizes different data structures from various LIMS systems and applies appropriate transformation parameters to normalize the output, maintaining both system flexibility and formatting consistency.
4Ease of operation
If laboratory results are delivered as singular defined events through traditional LIMS, then the process is simple and straightforward, but real-time communication and adaptive response are limited
Solution Approach 1:
The patent transforms the discrete, event-based result delivery into a continuous data stream. The system continuously pushes relevant laboratory results and alerts to stakeholders in real-time, maintaining the simplicity of the delivery mechanism while enabling immediate response to critical findings through persistent communication channels.
Data Source
AI summary
The system utilizes a laboratory data management system (LDMS), a medical data management system (MDMS) and external data sources. The system processes data across multiple laboratories, different input variables (lab assays), specific laboratory tests, specific laboratory testing capabilities and variable outputs. The system measures, documents and manages the immune response by providing the user with actionable laboratory results, triggers and events.