1. A computer-implemented method of optimizing a diagnostic test sequence to diagnose a medical condition of a subject, comprising: determining a group of diagnostic tests related to a symptom of the subject from a pool of diagnostic tests; conducting a probabilistic medical condition analysis determining an efficacy of each of the diagnostic tests based on historical outcomes of actual diagnostic testing; analyzing a comparative utility of each diagnostic tests based on a plurality of factors that can affect a problem resolution; assigning a weight to each factor involved in the probabilistic medical condition analysis; ordering the diagnostic tests based upon at least one of the following: a probability of the diagnostic test identifying a cause of the medical condition in a minimum amount of time; a probability of the diagnostic test identifying the cause of the medical condition at a minimum cost; and a relative weighting of minimizing time versus minimizing cost; and selecting a first diagnostic test from the group of diagnostic tests based at least in part on the probabilistic medical condition analysis and the weighted factors involved therein.