Algorithmic bias refers to the biases originating from the use of artificial intelligence (AI). With AI being increasingly used in healthcare, clinicians need to be able to determine when and how to use AI systems to minimize the bias passed into patient care. However, clinicians do not currently receive sufficient training on algorithmic bias. Training clinicians on the use of AI should be a priority and it is imperative for that training to include algorithmic bias which disproportionately harms patients from marginalized populations. Although the literature on algorithmic bias in healthcare is extensive, there is little guidance on what clinicians need to know. This study aimed to extract concepts of algorithmic bias in healthcare from the literature to guide the development of training curricula.