Abstract: Examples described herein generally relate to referring a patient to a provider for a drug use disorder. A computer system accesses a plurality of provider data records. The system determines a geographical location of the patient. The system searches, within a geographical distance of the geographical location for a provider that satisfies patient requirements based on a patient data record. The system determines one or more certified providers that are certified to treat a condition of the patient. The system determines that one or more of the certified providers has an available opening for the patient. The system determines an outcome rating for the patient and each certified provider based on the patient data record. The system matches the patient to a certified provider with a best outcome rating that accepts payment from a payer for the patient. The system refers the patient to the matched provider.

Abstract: Examples described herein generally relate to recommending drug dosage reductions for a patient. A computer system may generate an initial non-linear glide path of recommended dosages starting at an initial dosage of a drug for a patient and ending at a goal dosage at an estimated time of arrival. The system may receive periodic patient monitoring including at least one drug withdrawal scale score, anxiety scale score, and indicated side effect. The system may determine, using one or more machine learning algorithms, a revised glide path based on a data record for the patient, the at least the drug withdrawal scale score and the at least one anxiety scale score for the patient. The system may recommend at least one medication or therapy for the indicated side effect. The system may determine a prescription adjustment based on the revised glide path.

Abstract: Examples described herein generally relate to referring a patient to a provider for a drug use disorder. A computer system accesses a plurality of provider data records. The system determines a geographical location of the patient. The system searches, within a geographical distance of the geographical location for a provider that satisfies patient requirements based on a patient data record. The system determines one or more certified providers that are certified to treat a condition of the patient. The system determines that one or more of the certified providers has an available opening for the patient. The system determines an outcome rating for the patient and each certified provider based on the patient data record. The system matches the patient to a certified provider with a best outcome rating that accepts payment from a payer for the patient. The system refers the patient to the matched provider.

Abstract: Examples described herein generally relate to recommending therapeutic treatment information for a patient, and more particularly to recommendations regarding drugs or drug combinations. A computer system may access a plurality of data records associated with the patient. The system may correlate and consolidate the plurality of records based on an accuracy rating of each data source. The system may provide access, via a first application programming interface (API) to a first plurality of shared machine learning algorithms to perform a respective analysis of the plurality of data records. The system may receive, via a second API, a proprietary set of executable code to perform an analysis of the plurality of data records. The system may execute the first plurality of shared machine learning algorithms and the set of executable code on the plurality of data records for the patient to generate therapeutic treatment information for the patient.