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UK healthcare staff show low awareness of machine translation risks in patient care

By PulseAugur Editorial · [1 sources] ·

A study involving 21 UK healthcare staff revealed a concerning reliance on machine translation, primarily Google Translate, for patient communication across language barriers. Participants were interviewed using French and Spanish medical abbreviation examples translated by Google Translate to assess their awareness of potential risks. The findings indicate a limited understanding of the serious consequences that misinterpretations of medical abbreviations via machine translation could have on patient safety. AI

IMPACT Highlights potential patient safety risks from uncritical use of machine translation in healthcare settings.

RANK_REASON Research paper on machine translation risks in healthcare. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

UK healthcare staff show low awareness of machine translation risks in patient care

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13 / 100
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Tool
Research paper on machine translation risks in healthcare. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eleanor Taylor-Stilgoe, F\'elix do Carmo, Constantin Or\u{a}san ·

    "I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case

    arXiv:2610.02496v1 Announce Type: new Abstract: In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers. Though intended to support their duty of care, potentially …

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