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This work is a review of the ways in which machine learning has been used in order to plan, improve or aid the problem of moving patients through healthcare services. We decompose the patient flow problem into four subcategories: prediction of demand on a healthcare institution, prediction of the demand and resource required to transfer patients from the emergency department to the hospital, prediction of potential resource required for the treatment and movement of inpatients and prediction ofdoi:10.1088/2516-1091/abddc5 pmid:34738074 pmcid:PMC8559147 fatcat:ra4dfti3abaohifhxbhrdw6h6u