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01-11-2024 | Air Pollutants | Research Letter

Readability rescue: large language models may improve readability of patient education materials

Authors: Alyssa Breneman, Megan H. Trager, Emily R. Gordon, Faramarz H. Samie

Published in: Archives of Dermatological Research | Issue 9/2024

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Excerpt

Patient education materials (PEMs) such as pamphlets and online resources are important tools for improving patient knowledge of dermatologic topics [1]. However, available materials often contain complex medical language which may limit patient understanding and present a barrier to improving health literacy [1]. For example, one study found that the reading grade level of cutaneous lymphoma PEMs was significantly higher than the American Medical Association’s (AMA) recommended 6th grade reading level [2]. Producing well-vetted PEMs is challenging and time-consuming. In other fields, large language models (LLMs) such as ChatGPT have been investigated as tools to modify the readability of existing PEMs [3]. In this study, we examine the ability of ChatGPT to improve the readability of dermatology skin cancer treatment PEMs. …
Literature
1.
go back to reference Vallabhaneni A, Eskander PN, Martin K, Eisenstein K, Dyer J (2022) Assessing and optimizing readability of dermatology patient education materials (PEMs). Pediatr Dermatol 39(3):382–384CrossRefPubMed Vallabhaneni A, Eskander PN, Martin K, Eisenstein K, Dyer J (2022) Assessing and optimizing readability of dermatology patient education materials (PEMs). Pediatr Dermatol 39(3):382–384CrossRefPubMed
2.
go back to reference Schreidah CM, Fahmy LM, Lapolla BA, Gordon ER, Kwinta BD, Geskin LJ (2023) Accessibility and readability of online patient education on cutaneous lymphomas. JAAD Int 13:83–90CrossRefPubMedPubMedCentral Schreidah CM, Fahmy LM, Lapolla BA, Gordon ER, Kwinta BD, Geskin LJ (2023) Accessibility and readability of online patient education on cutaneous lymphomas. JAAD Int 13:83–90CrossRefPubMedPubMedCentral
3.
go back to reference Swisher AR, Wu AW, Liu GC, Lee MK, Carle TR, Tang DM (2024) Enhancing health literacy: evaluating the readability of patient handouts revised by ChatGPT’s large language model. Otolaryngol Head Neck Surg. Swisher AR, Wu AW, Liu GC, Lee MK, Carle TR, Tang DM (2024) Enhancing health literacy: evaluating the readability of patient handouts revised by ChatGPT’s large language model. Otolaryngol Head Neck Surg.
Metadata
Title
Readability rescue: large language models may improve readability of patient education materials
Authors
Alyssa Breneman
Megan H. Trager
Emily R. Gordon
Faramarz H. Samie
Publication date
01-11-2024
Publisher
Springer Berlin Heidelberg
Published in
Archives of Dermatological Research / Issue 9/2024
Print ISSN: 0340-3696
Electronic ISSN: 1432-069X
DOI
https://doi.org/10.1007/s00403-024-03441-y

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