Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation

被引:11
|
作者
Bakdash, Leen [1 ]
Abid, Areeba [1 ]
Gourisankar, Amritha [1 ]
Henry, Tracey L. [2 ]
机构
[1] Emory Univ, Sch Med, Atlanta, GA 30322 USA
[2] Emory Univ, Sch Med, Div Gen Med, Atlanta, GA USA
关键词
D O I
10.1007/s11606-023-08497-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associated with traditional means of interpretation, making the service inaccessible and burdensome. Technology has improved access to translation through phone and video interpretation; with the acceleration of artificial intelligence (AI) large language models, we have an opportunity to further improve interpreter access through real-time, automated translation. The impetus to utilize this burgeoning tool for improved health equity must be combined with a critical view of the safety, privacy, and clinical decision-making risks involved. Physicians must be active participants and collaborators in both the mobilization of AI tools to improve clinical care and the development of regulations to mitigate harm.
引用
收藏
页码:492 / 495
页数:4
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