96% accuracy may be a problem...

Depends how many false positives and false negatives, but if there's 4% of false negatives and there's, say, 1% of the tested population that has the disease, then even a positive test may mean you have only 20% chances of being actually positive.

(someone double check my math, but the general idea stands, I think)