The role of language technology in doctor-patient communication

July 1, 2026Open Access

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Key Points

This research aims to examine the quality of communication in medical interpreting using both human interpreters and AI-based systems.
Mixed-methods design combining quantitative assessments with qualitative discourse analysis.
Conducted four simulated medical interactions with two Romanian-speaking patients and a German-speaking doctor.
Evaluated understanding and quality through established assessment models and qualitative interviews.
S2S translation technology offers accessible communication but leads to lower perceived understanding than human interpreters.
ChatGPT performed well but was less reliable with critical errors compared to professional interpreters.
Participants adapted their language with ChatGPT, highlighting the need for human interaction in complex communication.

Mixed-methods study compares doctor-patient communication quality using human interpreters and AI technology, suggesting implications for healthcare.

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Diana-Andreea Codrean (2026) studied this question.

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