Test Server Statistical Processing for Diagnostic Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current clinical test systems face challenges in providing accurate and cost-effective diagnostics, particularly in varying prevalence rates of diseases, which affect the reliability of test results and resource allocation in healthcare settings.
Innovation Solution
A test server system that communicates with multiple terminals to collect and process test information, calculating sensitivity and specificity through statistical processing, and determining optimal test methods based on patient attributes and prevalence rates to improve diagnostic accuracy and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If test results are collected and statistically processed to calculate sensitivity and specificity, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
A test server acts as an intermediary between multiple communication terminals and the statistical processing function. The server collects test information items from terminals, performs sensitivity and specificity calculations, and returns results, thereby distributing system complexity rather than concentrating it in one location.
Solution Approach 2:
The test server provides multiple functions including collecting test results, storing test information items, calculating sensitivity and specificity, and responding to terminal demands. This multi-functional approach consolidates what would otherwise require separate systems into a single unified platform.
2Measurement precision
If statistical processing is performed on all test information items, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system performs statistical processing selectively based on terminal demands rather than continuously processing all available data. The control unit responds to specific requests from communication terminals, processing only the necessary subset of test information items at each moment.
Solution Approach 2:
Test information items are collected and stored in advance in the storage unit before statistical processing is needed. This preliminary data accumulation allows the system to perform rapid calculations when demands arise, rather than gathering data in real-time during processing.
3Reliability
If test systems collect and analyze comprehensive test data, then reliability of diagnostic results is improved, but device complexity increases
Solution Approach 1:
The system segments data collection and processing across multiple communication terminals, each contributing test information items independently. The test server then aggregates these segmented data sources, allowing comprehensive data collection without requiring a single complex centralized gathering mechanism.
Data Source
AI summary
A test server includes a communication unit and a control unit. The communication unit communicates with a plurality of communication terminals via a network. Each communication terminal is connectable to a test device capable of executing a test on presence or absence of a disease and is capable of inputting a diagnosis on the presence or absence of the disease. The diagnosis is related to the test and made by a doctor. The control unit acquires at least one of a result of the test and the diagnosis as a test information item from each communication terminal via the communication unit, causes a storage unit to store the plurality of acquired test information items, performs statistical processing on the plurality of stored test information items, and causes the communication unit to return a result of the statistical processing according to a demand given from each communication terminal.