Key PointsQuestionHow are racial and ethnic biases associated with health care algorithms and efforts to address these biases perceived?FindingsIn this qualitative study about views regarding health care algorithms, responses from 42 respondents suggested algorithms are in widespread use and may be biased whether or not they include race; there is no standardization in how race is defined; bias can be introduced at all stages of algorithm development and implementation; and algorithms’ use and bias should be discussed between clinicians and patients, who are often unaware of their use and potential for bias.MeaningFindings suggest that standardized and rigorous approaches for algorithm development and implementation are needed to mitigate racial and ethnic biases from algorithms and reduce health inequities.