Numerous AI tools have been developed, but few are currently used in routine clinical practice. We will compare the ability of machine learning and large language models to identify which patients with potentially inappropriate medication prescriptions are most likely to be recommended for a prescription change by clinical pharmacists. The findings from this project will be incorporated into a prospective trial evaluating the implementation and outcomes of an AI-informed clinical tool to improve safe medication prescribing embedded within the electronic health record.