Abstract: A decision support system and method for optimizing medication dosages includes comprehensive patient databases correlating medications and exposure values across data models having pharmacokinetic and pharmacodynamic dimensions. The system determines distinctions between expected and detected medications and exposure values for a patient, and further distinguishes between non-compliant patients from compliant patients having high metabolizing characteristics with respect to certain expected but undetected medications. The system links to and reconciles the patient medical record accordingly. Graphical user interfaces display recommended dosages and projected exposure ranges for the expected and detected medications. In an embodiment, the interface presents certain alternative treatment options determined as being available with respect to the expected but undetected medications.

Abstract: A decision support system and method for optimizing medication dosages includes comprehensive patient databases correlating medications and exposure values across data models having pharmacokinetic and pharmacodynamic dimensions. The system determines distinctions between expected and detected medications and exposure values for a patient, and further distinguishes between non-compliant patients from compliant patients having high metabolizing characteristics with respect to certain expected but undetected medications. The system links to and reconciles the patient medical record accordingly. Graphical user interfaces display recommended dosages and projected exposure ranges for the expected and detected medications. In an embodiment, the interface presents certain alternative treatment options determined as being available with respect to the expected but undetected medications.

Abstract: A system and method for informed prescribing implements a multiplex assay system to measure each of a plurality of chemical entities associated with a patient from a single body fluid sample, and identifies medication levels for each of the measured chemical entities relative to respective target ranges. A drug interaction program module such as a neutral network engine is iteratively trained using the identified medication levels and historical patient data from data storage. Program engines further measure an effectiveness of each of the chemical entities with respect to the historical patient data, and generate a recommended dosage for each of the plurality of chemical entities based on a drug interaction output from the drug interaction program module and the measured effectiveness. A user interface displays the results, and in an embodiment further provides alternative treatment options with respect to certain chemical entities based on drug interactions and/or effectiveness.