Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis.

ABSTRACT: Machine translation supported by artificial intelligence (AI) may enhance linguistically-concordant care for patients speaking languages other than English. This assessment of free-text inpatient discharge instructions in Arabic, Armenian, Bengali, simplified Chinese, Somali, and Spanish compared linguist, clinician, and family caregiver evaluations of translations generated by (1) ChatGPT-4o, (2) professional linguists, and (3) human-in-the-loop (AI-generated, professional linguist post-edited). Likert scales (1-5; higher is better) evaluated linguistic and clinical characteristics of each translation. ChatGPT-4o exhibited variable performance relative to professional translations, with poorest ratings for digitally underrepresented languages (Armenian and Somali). Conversely, human-in-th

SUBMITTER: Brewster RC 

PROVIDER: S-EPMC12552660 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature