Flow Cytometry Data Integration for Leukemia Diagnosis
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Solution Overview
Problem
Current flow cytometry analysis systems face inefficiencies due to inadequate data linkage between laboratories, leading to time-consuming and inefficient disease detection processes, particularly when analyzing blood samples for conditions like leukemia.
Innovation Solution
An information processing method and apparatus that acquires and displays test results from both flow cytometry and hematology tests in association with each other, enabling efficient validation and reporting of results through a network-connected system, allowing for simultaneous analysis and comparison of antigen measurements and blood cell counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow cytometry tests are performed in a laboratory different from where other tests are performed, then specialized antigen measurement can be achieved, but data linkage between laboratories is insufficient and examination time increases
Solution Approach 1:
The system merges test results from multiple laboratories and test types into a single integrated display interface. The information processing apparatus collects flow cytometry test results from one laboratory and hematology test results from another laboratory, then combines and displays them together, enabling comprehensive analysis without requiring physical presence in multiple laboratories.
Solution Approach 2:
The information processing apparatus acts as an intermediary between different laboratories and test systems. It receives data from multiple sources, processes and associates the results by subject ID, and presents them in a unified manner, eliminating the need for manual data collection and comparison by clinical technologists.
2Reliability
If clinical technologists manually examine test results with reference to other test results, then result validation can be performed, but the process is time-consuming and inefficient
Solution Approach 1:
The system enables automatic self-validation by programmatically associating flow cytometry test results with hematology test results based on subject identification. The information processing apparatus automatically performs the validation function that previously required manual examination by clinical technologists, significantly improving efficiency while maintaining reliability.
Solution Approach 2:
The system implements automated feedback mechanisms where test results from different tests are cross-referenced and validated against each other. The information processing apparatus compares results and can identify inconsistencies or confirmations automatically, providing immediate feedback without manual intervention.
3Loss of information
If data linkage between laboratories is insufficient, then laboratory autonomy is maintained, but data integration for comprehensive analysis is hindered
Solution Approach 1:
The information processing apparatus serves multiple functions: it acts as a data collection point, processing center, and display interface for multiple laboratories and test types. By creating a universal platform that handles various test result formats and sources, the system achieves comprehensive data integration without requiring complex point-to-point connections between each laboratory.
Data Source
AI summary
Disclosed is an information processing method to be executed by a computer, for analysis performed by a flow cytometer capable of acquiring a test result through a test using an antibody reagent, the information processing method including: acquiring a first test result obtained through a first test performed by the flow cytometer with respect to a first specimen of a subject; acquiring a second test result obtained through a second test different from the first test with respect to a second specimen of the subject; and displaying the first test result and the second test result in association with each other.