Sample Tracking Ledger for Laboratory Data Integration
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Solution Overview
Problem
In clinical and testing laboratories, manually gathering and compiling data from multiple scientific instruments for sample analysis is cumbersome and error-prone, as different instruments use various software applications, making it difficult to track samples and integrate data for report generation, leading to inefficient resource usage and potential errors.
Innovation Solution
A scientific instrument support system that generates a sample identifier and creates a data structure ledger linking sample information and experiment data from multiple instruments, allowing for automated report generation by querying the ledger data in response to user requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data gathering and compilation from multiple scientific instruments is used, then flexibility in handling different instrument software applications is maintained, but labor intensity and error rate increase significantly
Solution Approach 1:
The patent introduces a Laboratory Information Management System (LIMS) as an intermediary layer between multiple scientific instruments and the report generation process. The LIMS centrally collects, stores, and manages data from various instruments through standardized interfaces, eliminating the need for manual data gathering while maintaining flexibility in handling different instrument software applications.
2Adaptability or versatility
If manual tracking of samples across different instruments and aliquots is performed, then adaptability to various sample processing workflows is maintained, but accuracy and reliability decrease due to human error
Solution Approach 1:
The LIMS is designed with universal functionality to handle diverse sample processing workflows across multiple instruments and aliquots. It provides a centralized platform that can track samples through various processing stages, manage different instrument types, and accommodate flexible workflow configurations while ensuring accurate and reliable sample tracking through automated data capture and management.
3Adaptability or versatility
If data from multiple scientific instruments is integrated manually, then compatibility with different software applications is maintained, but data integration quality and consistency deteriorate
Solution Approach 1:
The LIMS serves as an intermediary that standardizes data integration from multiplescientific instruments with different software applications. It implements standardized data collection protocols and formats, ensuring consistent and high-quality data integration while maintaining compatibility with various instrument software through standardized interfaces and automated data extraction methods.
Data Source
AI summary
Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a method is provided that includes generating a sample identifier for a sample, receiving sample information for the sample, and generating a data structure ledger for the sample. The data structure ledger includes an initial ledger block with the sample identifier and the sample information. The method also includes receiving experiment data relating to the sample, generating an experiment ledger block in the data structure ledger. The method further includes receiving a request for a report corresponding to the sample, querying the data structure ledger to receive ledger data corresponding to the request, and generating the report based on the ledger data received in response to the query.