Detection and modeling of drug dispensing behaviors by healthcare providers

A method for determining drug dispensing consistency, the method comprising:

• ingesting, by a computing device, patient data from at least one patient data provider, wherein the patient data includes at least one of drug toxicology data, metabolite data, patient-reported symptoms, and patient prescriptions;
• determining, by the computing device, one or more relationships between the ingested patient data and previously ingested patient population data that includes at least one of drug toxicology data, metabolite data, patient-reported symptoms, and patient prescriptions, wherein at least one new enriched data element is created based on the determined one or more relationships;
• transmitting the at least one new data element to a raw data cluster;
• storing the determined one or more relationships in a data store;
• using a machine learning module to analyze data within the data store to determine the if detected metabolites are indicative of a potential adverse patient reaction;
• and
• transmitting an alert to the at least one healthcare provider indicating the predicted potential adverse patient reaction.