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Published in: Cardiology and Therapy 1/2024

Open Access 09-01-2024 | Artificial Intelligence | Original Research

Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study

Authors: Armaun D. Rouhi, Yazid K. Ghanem, Laman Yolchieva, Zena Saleh, Hansa Joshi, Matthew C. Moccia, Alejandro Suarez-Pierre, Jason J. Han

Published in: Cardiology and Therapy | Issue 1/2024

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Abstract

Introduction

The advent of generative artificial intelligence (AI) dialogue platforms and large language models (LLMs) may help facilitate ongoing efforts to improve health literacy. Additionally, recent studies have highlighted inadequate health literacy among patients with cardiac disease. The aim of the present study was to ascertain whether two freely available generative AI dialogue platforms could rewrite online aortic stenosis (AS) patient education materials (PEMs) to meet recommended reading skill levels for the public.

Methods

Online PEMs were gathered from a professional cardiothoracic surgical society and academic institutions in the USA. PEMs were then inputted into two AI-powered LLMs, ChatGPT-3.5 and Bard, with the prompt “translate to 5th-grade reading level”. Readability of PEMs before and after AI conversion was measured using the validated Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), Simple Measure of Gobbledygook Index (SMOGI), and Gunning-Fog Index (GFI) scores.

Results

Overall, 21 PEMs on AS were gathered. Original readability measures indicated difficult readability at the 10th–12th grade reading level. ChatGPT-3.5 successfully improved readability across all four measures (p < 0.001) to the approximately 6th–7th grade reading level. Bard successfully improved readability across all measures (p < 0.001) except for SMOGI (p = 0.729) to the approximately 8th–9th grade level. Neither platform generated PEMs written below the recommended 6th-grade reading level. ChatGPT-3.5 demonstrated significantly more favorable post-conversion readability scores, percentage change in readability scores, and conversion time compared to Bard (all p < 0.001).

Conclusion

AI dialogue platforms can enhance the readability of PEMs for patients with AS but may not fully meet recommended reading skill levels, highlighting potential tools to help strengthen cardiac health literacy in the future.
Literature
4.
go back to reference Weiss BD. Health literacy: a manual for clinicians. Chicago: American Medical Association Foundation and American Medical Association; 2003. Weiss BD. Health literacy: a manual for clinicians. Chicago: American Medical Association Foundation and American Medical Association; 2003.
16.
go back to reference Kincaid JP, Fishburne RP Jr, Rogers RL, Chissom BS. Derivation of new readability formulas (Automated Readability Index, Fog Count And Flesch Reading Ease Formula) for Navy Enlisted Personnel (1975). Institute for Simulation and Training. 56. https://stars.library.ucf.edu/istlibrary/56. Accessed 1 Nov 2023. Kincaid JP, Fishburne RP Jr, Rogers RL, Chissom BS. Derivation of new readability formulas (Automated Readability Index, Fog Count And Flesch Reading Ease Formula) for Navy Enlisted Personnel (1975). Institute for Simulation and Training. 56. https://​stars.​library.​ucf.​edu/​istlibrary/​56. Accessed 1 Nov 2023.
17.
go back to reference Gunning R. The technique of clear writing. New York: McGraw-Hill; 1952. p. 36–7. Gunning R. The technique of clear writing. New York: McGraw-Hill; 1952. p. 36–7.
Metadata
Title
Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study
Authors
Armaun D. Rouhi
Yazid K. Ghanem
Laman Yolchieva
Zena Saleh
Hansa Joshi
Matthew C. Moccia
Alejandro Suarez-Pierre
Jason J. Han
Publication date
09-01-2024
Publisher
Springer Healthcare
Published in
Cardiology and Therapy / Issue 1/2024
Print ISSN: 2193-8261
Electronic ISSN: 2193-6544
DOI
https://doi.org/10.1007/s40119-023-00347-0

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