Delano Maggie, Albert Kendra
Swarthmore College, Swarthmore, PA, USA.
Harvard Law School, Cambridge, MA, USA.
Patterns (N Y). 2022 Aug 12;3(8):100573. doi: 10.1016/j.patter.2022.100573.
In their recent perspective published in , Maggie Delano and Kendra Albert highlight the limitations of sex and gender data classification in health systems and show how this contributes to the marginalization of trans and non-binary individuals. They provide recommendations to improve incorporating gender data into healthcare algorithms. Here they discuss their collaboration and how it enabled this cross-disciplinary research.
在玛吉·德拉诺和肯德拉·阿尔伯特最近发表在《》上的观点文章中，他们强调了卫生系统中性别数据分类的局限性，并展示了这是如何导致跨性别者和非二元性别者被边缘化的。他们提出了将性别数据纳入医疗算法的改进建议。在此，他们讨论了他们的合作以及这种合作如何促成了这项跨学科研究。
