Algorithms are commonly used to guide clinical decision-making, but concerns have been raised regarding bias due to the use of race-based data. This qualitative analysis examined perspectives of 42 stakeholders (e.g., individuals, representatives from clinical professional societies or payers, etc.) regarding the use of race- and ethnicity-based algorithms in healthcare. Seven themes were identified, highlighting concerns regarding bias, algorithm transparency, lack of standardization regarding how race and social determinants are collected and defined, and the use of a social construct as a proxy in clinical decision-making.