Employing a multi-modality algorithm to generate recommendation information associated with hospital department selection

A computer-implemented method, comprising:

• employing, by a system operatively coupled to a processor, machine learning to train a model on data, wherein the data comprises patient data for a patient, hospital department designation associated with the patient and clinical data relating to a patient outcome, and wherein the model is trained to evaluate the hospital department designation associated with the patient based on the clinical data relating to the patient outcome;
• generating, by the system, a classification by classifying the patient into hospital department;
• and
• comparing, by the system, the model to the classification to provide a hospital department selection for the patient.

A computer program product for facilitating hospital department selection, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• employ machine learning to train a model on data, wherein the data comprises patient data for a patient, hospital department designation associated with the patient and clinical data relating to a patient outcome, and wherein the model is trained to evaluate the hospital department designation associated with the patient based on the clinical data relating to the patient outcome;
• generate a classification by classifying the patient into hospital department;
• and
• compare the model to the classification to provide a hospital department selection for the patient.