Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation

Although LLM-assisted surgical consent forms significantly enhance readability, they may compromise certain aspects of content completeness, particularly in risk disclosure. These findings highlight the need for a balanced approach that maintains accessibility while ensuring medical and legal accuracy. Future research should include patient-centered evaluations to assess comprehension and informed decision-making as well as broader multilingual validation to determine LLM applicability across diverse health care settings.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-05-06
DOI
https://doi.org/10.2196/73222
Citations
3
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
8.45
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article

Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation

Namkee Oh, Jinsoo Rhu, Seonmin Park, Jieun Kwon et al.
3 citations
Journal of Medical Internet Research
Patient-Provider Communication in Healthcare
8.45
article

Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation

Namkee Oh, Jinsoo Rhu, Seonmin Park, Jieun Kwon, Hae Won Lee, Kyeong Deok Kim, Seok-Hwan Kim, Gyu‐Seong Choi, Hai-Dung Do, Jeong-Moo Lee, J. Cho, Boram Lee, Sunghae Park, Eun‐Jin Lee, YoungRok Choi, Jong-Man Kim, Sunghyo An, Eun Sung Jeong, Gwang-Sik Chun, Jiyoung Baik, Suk Min Gwon
article en
3 citations

Abstract

Although LLM-assisted surgical consent forms significantly enhance readability, they may compromise certain aspects of content completeness, particularly in risk disclosure. These findings highlight the need for a balanced approach that maintains accessibility while ensuring medical and legal accuracy. Future research should include patient-centered evaluations to assess comprehension and informed decision-making as well as broader multilingual validation to determine LLM applicability across diverse health care settings.

Journal of Medical Internet ResearchVol. 27
Chungnam National University (KR), Samsung Medical Center (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), Dongguk University Ilsan Hospital (KR), Soonchunhyang University Hospital Cheonan (KR), Inha University Hospital (KR)
Quality Education
Openalex Percentile: Top 3%
Patient-Provider Communication in Healthcare
8.45
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