Using clinical data can make diagnostic tests much more accurate in a few important ways:
Better Predictions: When we add clinical data to tests, we can improve the chances of getting a correct result by up to 25%.
Stronger Test Results: By combining clinical information with test results, we can boost the test's ability to correctly identify conditions. This means we can improve how often we correctly identify health issues from 65% to 80%, and we can also increase the accuracy of identifying people who don’t have the disease from 75% to 90%.
Smart Choices Based on Data: Using clinical data helps lower the chances of misdiagnosis by 15%.
Overall, adding real-world patient information helps doctors make better decisions and improves the accuracy of tests.
Using clinical data can make diagnostic tests much more accurate in a few important ways:
Better Predictions: When we add clinical data to tests, we can improve the chances of getting a correct result by up to 25%.
Stronger Test Results: By combining clinical information with test results, we can boost the test's ability to correctly identify conditions. This means we can improve how often we correctly identify health issues from 65% to 80%, and we can also increase the accuracy of identifying people who don’t have the disease from 75% to 90%.
Smart Choices Based on Data: Using clinical data helps lower the chances of misdiagnosis by 15%.
Overall, adding real-world patient information helps doctors make better decisions and improves the accuracy of tests.