Clinical laboratory information is crucial both for determining patient diagnoses and for making drug treatment decisions. It helps you determine appropriate drug selection, adjust dosages and monitor drug therapy—all of which can help reduce adverse drug events (ADE's). Lab test results are affected by numerous patient parameters, such as age, medical history, diet and even laboratory technique variations.

It's difficult to determine the possible effect a patient's drug therapy may have in causing interferences in test results. Thus many screening tools generate alert after alert for virtually all conflicts, producing message overload. First DataBank's Drug-Lab Interference Module carefully filters out test-method "noise," and generates alerts only for the most significant drug-lab interferences.

You can use this module to screen patient lab and drug therapy data, and to look up reference information on in-vitro drug-lab conflicts. It has three primary functions: