@inproceedings{briva-iglesias-gil-2025-simplifying,
    title = "Simplifying healthcare communication: Evaluating {AI}-driven plain language editing of informed consent forms",
    author = "Briva-Iglesias, Vicent  and
      Gil, Isabel Pe{\~n}uelas",
    editor = "Ginel, Mar{\'i}a Isabel Rivas  and
      Cadwell, Patrick  and
      Canavese, Paolo  and
      Hansen-Schirra, Silvia  and
      Kappus, Martin  and
      Matamala, Anna  and
      Noonan, Will",
    booktitle = "Proceedings of the 1st Workshop on Artificial Intelligence and Easy and Plain Language in Institutional Contexts (AI {\&} EL/PL)",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.aielpl-1.6/",
    pages = "55--65",
    ISBN = "978-2-9701897-5-6",
    abstract = "Clear communication between patients and healthcare providers is crucial, particularly in informed consent forms (ICFs), which are often written in complex, technical language. This paper explores the effectiveness of generative artificial intelligence (AI) for simplifying ICFs into Plain Language (PL), aiming to enhance patient comprehension and informed decision-making. Using a corpus of 100 cancer-related ICFs, two distinct prompt engineering strategies (Simple AI Edit and Complex AI Edit) were evaluated through readability metrics: Flesch Reading Ease, Gunning Fog Index, and SMOG Index. Statistical analyses revealed statistically significant improvements in readability for AI-simplified texts compared to original documents. Interestingly, the Simple AI Edit strategy consistently outperformed the Complex AI Edit across all metrics. These findings suggest that minimalistic prompt strategies may be optimal, democratizing AI-driven text simplification in healthcare by requiring less expertise and resources. The study underscores the potential for AI to significantly improve patient-provider communication, highlighting future research directions for qualitative assessments and multilingual applications."
}