I would very much like to know the confusion matrix for all these component tests: the false positive rate, false negative rate, i.e., the sensitivity and specificity of each.
For example, the Prostate Specific Antigen (PSA) test is famous for a high false positive rate, inviting many men to worry needlessly or get unwarranted biopsies. The current state of any test and its history are important to know for both patient and doctor, so both can have an informed dialog about the options after a positive result.
Also, each of these 50 tests are going to evolve over time, as will the accuracy of error rates for patient subpopulations. Race, age, ethnicity, co-morbidities and co-maladies will each shift the accuracy and precision of each test in ways that will make them much more useful if everyone stays well informed about all their merits and demerits.