Evaluating the Use of ChatGPT to Accurately Simplify Patient-centered Information about Breast Cancer Prevention and Screening

被引:27
作者
Haver, Hana L. [1 ]
Gupta, Anuj K. [1 ]
Ambinder, Emily B. [2 ]
Bahl, Manisha [3 ]
Oluyemi, Eniola T. [2 ]
Jeudy, Jean [1 ]
Yi, Paul H. [1 ,4 ,5 ]
机构
[1] Univ Maryland, Univ Maryland Med Intelligent Imaging UM2ii Ctr, Sch Med, Dept Diagnost Radiol & Nucl Med, 670 W Baltimore St,First Floor,Rm 1172, Baltimore, MD 21201 USA
[2] Johns Hopkins Univ, Sch Med, Russell H Morgan Dept Radiol & Radiol Sci, Baltimore, MD USA
[3] Massachusetts Gen Hosp, Dept Radiol, Div Breast Imaging, Boston, MA USA
[4] Johns Hopkins Univ, Malone Ctr Engn Healthcare, Whiting Sch Engn, Baltimore, MD 21218 USA
[5] Univ Maryland, A James Clark Sch Engn, Fischell Dept Bioengn, College Pk, MD 20742 USA
来源
RADIOLOGY-IMAGING CANCER | 2024年 / 6卷 / 02期
关键词
Mammography; Screening; Informatics; Breast; Education; Health Policy and Practice; Oncology; Technology Assessment; HEALTH LITERACY; READABILITY; MAMMOGRAPHY; KNOWLEDGE;
D O I
10.1148/rycan.230086
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To evaluate the use of ChatGPT as a tool to simplify answers to common questions about breast cancer prevention and screening. Materials and Methods: In this retrospective, exploratory study, ChatGPT was requested to simplify responses to 25 questions about breast cancer to a sixth-grade reading level in March and August 2023. Simplified responses were evaluated for clinical appropriateness. All original and simplified responses were assessed for reading ease on the Flesch Reading Ease Index and for readability on five scales: Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Automated Readability Index, and the Simple Measure of Gobbledygook (ie, SMOG) Index. Mean reading ease, readability, and word count were compared between original and simplified responses using paired t tests. McNemar test was used to compare the proportion of responses with adequate reading ease (score of 60 or greater) and readability (sixth-grade level). Results: ChatGPT improved mean reading ease (original responses, 46 vs simplified responses, 70; P < .001) and readability (original, grade 13 vs simplified, grade 8.9; P < .001) and decreased word count (original, 193 vs simplified, 173; P < .001). Ninety-two percent (23 of 25) of simplified responses were considered clinically appropriate. All 25 (100%) simplified responses met criteria for adequate reading ease, compared with only two of 25 original responses (P < .001). Two of the 25 simplified responses (8%) met criteria for adequate readability. Conclusion: ChatGPT simplified answers to common breast cancer screening and prevention questions by improving the readability by four grade levels, though the potential to produce incorrect information necessitates physician oversight when using this tool.
引用
收藏
页数:9
相关论文
共 37 条
[1]  
[Anonymous], 2015, Clear & Simple
[2]  
[Anonymous], Improving health literacy
[3]  
[Anonymous], Health Literacy in Healthy People 2030
[4]   The association between adherence to cancer screening programs and health literacy: A systematic review and meta-analysis [J].
Baccolini, Valentina ;
Isonne, Claudia ;
Salerno, Carla ;
Giffi, Monica ;
Migliara, Giuseppe ;
Mazzalai, Elena ;
Turatto, Federica ;
Sinopoli, Alessandra ;
Rosso, Annalisa ;
De Vito, Corrado ;
Marzuillo, Carolina ;
Villari, Paolo .
PREVENTIVE MEDICINE, 2022, 155
[5]   Readability of Patient Education Materials From RadiologyInfo. org: Has There Been Progress Over the Past 5 Years? [J].
Bange, Matthew ;
Huh, Eric ;
Novi, Sherwin A. ;
Hui, Ferdinand K. ;
Yi, Paul H. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (04) :875-879
[6]   Readability and Quality of Online Patient Education Material on Websites of Breast Imaging Centers [J].
Choudhery, Sadia ;
Xi, Yin ;
Chen, Heng ;
Aboul-Fettouh, Nader ;
Goldenmerry, YPaul ;
Ho, Charles ;
Viroslav, Hannah ;
Zhang, Chelsea ;
Goudreau, Sally .
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2020, 17 (10) :1245-1251
[7]   COMPUTER READABILITY FORMULA DESIGNED FOR MACHINE SCORING [J].
COLEMAN, M ;
LIAU, TL .
JOURNAL OF APPLIED PSYCHOLOGY, 1975, 60 (02) :283-284
[8]  
Davis TC, 1996, CANCER-AM CANCER SOC, V78, P1912, DOI 10.1002/(SICI)1097-0142(19961101)78:9<1912::AID-CNCR11>3.0.CO
[9]  
2-0
[10]   Patient-centered applications: Use of information technology to promote disease management and wellness. A white paper by the AMIA Knowledge in Motion Working Group [J].
Demiris, George ;
Afrin, Lawrence B. ;
Speedie, Stuart ;
Courtney, Karen L. ;
Sondhi, Manu ;
Vimarlund, Vivian ;
Lovis, Christian ;
Goossen, Williaim ;
Lynch, Cecil .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2008, 15 (01) :8-13