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Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation
Leen Bakdash1, Areeba Abid2, Amritha Gourisankar2
1Emory University School of Medicine, Atlanta, GA, 30322, USA. lbakdas@emory.edu.
Abstract:
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.
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