This systematic review examines the evidence of implicit bias in healthcare professionals. It analyzed 42 peer-reviewed articles published between March 2003 and March 2013. The study found that healthcare professionals, like the general population, exhibit implicit biases based on characteristics such as race, gender, age, and weight. These biases can influence diagnosis, treatment decisions, and the quality of care. Implicit bias was measured using methods like the Implicit Association Test (IAT) and the assumption method, which involves analyzing responses to clinical vignettes. The review highlights that implicit biases can lead to negative outcomes for vulnerable patient groups, including minorities, the poor, and those with mental illness. The study also notes that while some studies found no significant bias, others showed that implicit biases may affect clinical interactions and treatment decisions. The review emphasizes the need for further research to understand and address implicit biases in healthcare, as well as the importance of developing more consistent methods for measuring these biases. The findings suggest that implicit bias is a significant factor in healthcare disparities and that healthcare professionals should be aware of and work to mitigate these biases to ensure equitable care.This systematic review examines the evidence of implicit bias in healthcare professionals. It analyzed 42 peer-reviewed articles published between March 2003 and March 2013. The study found that healthcare professionals, like the general population, exhibit implicit biases based on characteristics such as race, gender, age, and weight. These biases can influence diagnosis, treatment decisions, and the quality of care. Implicit bias was measured using methods like the Implicit Association Test (IAT) and the assumption method, which involves analyzing responses to clinical vignettes. The review highlights that implicit biases can lead to negative outcomes for vulnerable patient groups, including minorities, the poor, and those with mental illness. The study also notes that while some studies found no significant bias, others showed that implicit biases may affect clinical interactions and treatment decisions. The review emphasizes the need for further research to understand and address implicit biases in healthcare, as well as the importance of developing more consistent methods for measuring these biases. The findings suggest that implicit bias is a significant factor in healthcare disparities and that healthcare professionals should be aware of and work to mitigate these biases to ensure equitable care.