Stakeholder perspectives on Machine learning clinical decision support in epilepsy

Machine learning (ML)-based clinical decision support (CDS) tools promise to improve patient outcomes. However, their acceptance by stakeholders has been poorly studied. Failure of clinicians and patients to act on the models’ advice will undermine the benefits these models promise to deliver. This project leverages a ML-based epilepsy CDS tool our team has developed, and a novel participatory research design, to understand the factors and context affecting acceptance of ML models in clinical settings. Meaningful engagement of consumers alongside an outstanding interdisciplinary research team will provide crucial pilot data, and proof of method, for future work in this field.

Monash Data Futures Institute: ‘seed’ funding