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.

中文翻译：

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临床算法中性别作为二元变量的考虑

用于指导医疗决策的临床算法通常将性别作为一个变量。然而，由于对性别和性别特异性生理、激素和暴露的潜在不准确假设，对性和/或性别的二元考虑可能会引入偏见。在使用临床算法来确保人群之间的健康公平时，对性和性别采取以公平为中心的方法至关重要。