On Simplification of Discharge Summaries in Serbian: Facing the Challenges

Anđelka Zečević, Milica Ćulafić, Stefan Stojković


Abstract
The simplified information page (SIP) is a simplified discharge summary created to mitigate health risks caused by low medical comprehension. One of the most critical aspects of medical comprehension concerns interpreting medication instructions such as proper dosing, frequency, and duration. In our work, we examine the capacities of mainstream Large Language Models (LLMs) such as ChatGPT and Gemini to generate SIP-like medication-oriented pages based on the provided discharge summaries. We are sharing the initial qualitative assessments of our study based on a small collection of discharge summaries in Serbian, pointing to noticed inaccuracies, unfaithful content, and language quality. Hopefully, these findings might be helpful in addressing the multilingual perspective of patient-oriented language.
Anthology ID:
2024.cl4health-1.12
Volume:
Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Dina Demner-Fushman, Sophia Ananiadou, Paul Thompson, Brian Ondov
Venues:
CL4Health | WS
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
104–108
Language:
URL:
https://aclanthology.org/2024.cl4health-1.12
DOI:
Bibkey:
Cite (ACL):
Anđelka Zečević, Milica Ćulafić, and Stefan Stojković. 2024. On Simplification of Discharge Summaries in Serbian: Facing the Challenges. In Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024, pages 104–108, Torino, Italia. ELRA and ICCL.
Cite (Informal):
On Simplification of Discharge Summaries in Serbian: Facing the Challenges (Zečević et al., CL4Health-WS 2024)
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PDF:
https://aclanthology.org/2024.cl4health-1.12.pdf