SYSTEMS AND METHODS FOR MACHINE LEARNING IN PATIENT PLACEMENT

The present disclosure relates to systems and methods for determining one or more appropriate treatment facilities for patient placement. A machine learning system may perform operations. The operations may receive a patient data set including patient attributes and patient location metrics; access a plurality of data sets for a plurality of medical facilities, the plurality of data sets include facility capacity, location, and capability metrics for each of the plurality of medical facilities; apply a model to match the patient data set with at least one of the plurality of medical facility data sets based on at least one of the patient attributes and patient location metrics and at least one of the facility capacity, location, and capability metrics; determine, based on the application of the model, one or more likelihoods of acceptance associated with each match.