Mehandru N, Robertson S, Salehi N. Reliable and Safe Use of Machine Translation in Medical Settings. FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. 2022; Pages 2016-2025. https://doi.org/10.1145/3531146.3533244
Summary: This study investigates the use of machine translation (MT) in medical settings, where language barriers can impact care quality. Through interviews with 20 clinicians, the researchers identified challenges such as time constraints, cultural differences, and accountability in communication errors. Clinicians employed strategies like back translation and non-verbal cues to mitigate these issues. The study proposes design improvements for MT systems, including combining neural MT with pre-translated medical phrases, integrating multimodal communication, and offering interactive support to verify mutual understanding between patients and clinicians. These enhancements aim to increase the reliability and safety of MT in healthcare.
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