A Pragmatic Assessment of Google Translate for Emergency Department Instructions. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Because many hospitals have no mechanism for written translation, ED providers resort to the use of automated translation software, such as Google Translate (GT) for patient instructions. A recent study of discharge instructions in Spanish and Chinese suggested that accuracy rates of Google Translate (GT) were high. STUDY OBJECTIVE: To perform a pragmatic assessment of GT for the written translation of commonly used ED discharge instructions in seven commonly spoken languages. METHODS: A prospective assessment of the accuracy of GT for 20 commonly used ED discharge instruction phrases, as evaluated by a convenience sample of native speakers of seven commonly spoken languages (Spanish, Chinese, Vietnamese, Tagalog, Korean, Armenian, and Farsi). Translations were evaluated using a previously validated matrix for scoring machine translation, containing 5-point Likert scales for fluency, adequacy, meaning, and severity, in addition to a dichotomous assessment of retention of the overall meaning. RESULTS: Twenty volunteers evaluated 400 google translated discharge statements. Volunteers were 50% female and spoke Spanish (5), Armenian (2), Chinese (3), Tagalog (4), Korean (2), and Farsi (2). The overall meaning was retained for 82.5% (330/400) of the translations. Spanish had the highest accuracy rate (94%), followed by Tagalog (90%), Korean (82.5%), Chinese (81.7%), Farsi (67.5%), and Armenian (55%). Mean Likert scores (on a 5-point scale) were high for fluency (4.2), adequacy (4.4), meaning (4.3), and severity (4.3) but also varied. CONCLUSION: GT for discharge instructions in the ED is inconsistent between languages and should not be relied on for patient instructions.

publication date

  • March 5, 2021

Research

keywords

  • Search Engine
  • Translating

Identity

PubMed Central ID

  • PMC8606479

Scopus Document Identifier

  • 85102206116

Digital Object Identifier (DOI)

  • 10.1007/s11606-021-06666-z

PubMed ID

  • 33674922

Additional Document Info

volume

  • 36

issue

  • 11