ABSTRACT
Analytics, artificial intelligence (AI) and machine learning (ML) have demonstrated their benefits in various industries including banking and finance, and manufacturing. Traditionally, healthcare has been slow to embrace technological interventions; however, we are now witnessing the rapid adoption and deployment of a myriad of AI/ML and analytic techniques in various healthcare contexts. Experts are noting that the embracement of AI/ML and analytics in clinical decision-making will be a key differentiator in the provision of optimal care. In such a context, we believe a critical success factor is the need for all stakeholders to have the same understanding and shared meaning. In this chapter, we address this goal by suggesting a role for analytic translators and explaining how translators facilitate mutual understanding.
