Clinical algorithms that are used to guide medical decision-making often include sex as a variable. However, binary considerations of sex and/or gender might introduce bias due to potentially inaccurate assumptions about sex and gender-specific physiology, hormones and exposures. An equity-focused approach to sex and gender is essential when using clinical algorithms to ensure health equity across populations.
- Dinushika Mohottige
- Samira Farouk
- Selma Feldman Witchel
