Assessing for Bias in Decision-Making

One proven strategy to mitigate bias is to examine whether the facts of the situation would lead you to the same decision to call the SCR if the demographic information for the patient were any different. For example, would you make the same decision if any of the following were any different: Race? Ethnicity? Gender? Gender Identity? Sexual orientation or expression? Religion? Immigration status? Primary spoken language? Culture? Age? Neighborhood where they reside? Presence of a disability? Occupation? Socio-economic status? If you answered yes to any of those questions, bias may be impacting your decision to make the call. If you are interested in learning more about what feeds into implicit bias, Harvard University has developed the Implicit Association Test (IAT).

Click Here to access a variety of IAT tests