@article{IR,
      author = {Collins, Benjamin},
      url = {http://digitalcollections.ohsu.edu/record/9527},
      title = {Algorithmic bias in the clinical setting: what do  clinicians Need to know?},
      publisher = {Oregon Health and Science University},
      abstract = {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.},
      number = {IR},
      doi = {https://doi.org/10.6083/9593tv964},
      recid = {9527},
      address = {2022},
}