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№ 3/28 (2026)

Artykuły

Artificial intelligence mediated communication in Polish primary healthcare: A linguistic perspective

DOI: https://doi.org/10.25312/j.10337  [Google Scholar]
Опубликован: 2026-10-23

Аннотация

Artificial intelligence (AI) tools are increasingly embedded in Polish primary healthcare (Podstawowa Opieka
Zdrowotna, POZ), reshaping how clinical encounters are conducted and documented. Based on a narrative
review (2015–2026) of applied-linguistics and health-communication literature – spanning Conversation
Analysis, narrative medicine, genre theory, and plain-language standards – and illustrated with Polish-language
clinical examples, this article argues that AI systems act as algorithmic interactants that introduce
evidential “turns” into consultations, shifting epistemic authority away from patients and clinicians; compress
or flatten illness narratives by favouring categorical over experiential detail; and push clinical documentation
toward standardised, template-based genres at the expense of stance-marking and interpersonal nuance. It
further identifies Polish-specific linguistic features – free word order, rich inflexion, aspectual distinctions,
dialectal variation, and dense medical lexicon – that create systematic risks of symptom misrecognition
and misclassification in NLP/ASR-based tools. Drawing these strands together, the article proposes
an implementation framework combining plain-language documentation standards, CA-informed repair
strategies, genre-sensitive documentation models, and corpus-based sociolinguistic validation, with the aim
of reducing communicative and equity risks as AI is adopted in Polish primary care.

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