MACHINE LEARNING DISTRIBUTED HEALTHCARE DECISION SUPPORT SYSTEM

A system to optimize hospital unit admission is disclosed. The system comprises a transceiver, a memory, and a processor. The transceiver may receive a request to determine patient eligibility for admission to a hospital unit, and patient medical information associated with a patient. The memory may store a training data and a trained machine module. The trained machine module may be trained using the training data. The training data may include a correlation of training medical information and a plurality of protocols. Each protocol may be associated with a disease and may include criteria for admitting the patient in the hospital unit. The processor may be configured to obtain the request, and execute instructions stored in the trained machine module to determine the patient eligibility based on the medical information, and output the patient eligibility to a user device associated with a medical resource.