The predictive value theory redefines quality assurance.
Performing laboratory tests that are unreliable or diagnostically meaningless is costly, time-consuming, and wasteful. The Predictive Value Model provides a means to eliminate this wastefulness and  increase the utility of laboratory testing. This paper describes the way in which data regarding a test's predictive value, and efficiency may be used to determine which tests are of maximum utility in specific situations.
D019411:Clinical Laboratory Techniques / Q000379:methods / Q000592:standards* / Q000706:statistics & numerical data; D005188:False Negative Reactions; D005189:False Positive Reactions; D006801:Humans; D008962:Models, Theoretical; D009203:Myocardial Infarction / Q000201:enzymology; D011336:Probability; D011785:Quality Assurance, Health Care; D012016:Reference Values