Do people prefer AI-generated patient educational materials over traditional ones?

IF 3.1 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Patient Education and Counseling Pub Date : 2025-05-01 Epub Date: 2025-01-20 DOI:10.1016/j.pec.2025.108672
Kathia E. Nitsch, Srinivas J. Ivatury
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Abstract

Objective

This study aimed to assess people’s preference between traditional and Artificial Intelligence (AI)-generated colon cancer staging Patient Education Materials (PEMs).

Methods

We assessed preference among patients and companions being seen for a non-cancer diagnosis at the UT Health Austin Colon and Rectal Surgery Clinic. Participants were blinded to the study concept of AI and generation method of PEMs (Traditional: National Cancer Institute and the American Cancer Society; AI-generated: ChatGPT and Google Bard). Participants completed an anonymous demographic survey and ranked their PEM preference for randomized, de-identified materials. We hypothesized that there would be no difference in preference between the AI-generated and traditional PEMs. This study is IRB approved (STUDY00005203).

Results

35 participants were recruited, ages 27–79 years (mean 46; SD 14 years) and 57 % female. 54 % were four-year college graduates. Among the participants, 51 % ranked the traditional PEMs as most preferred, while 49 % ranked the AI-generated PEMs as most preferred (p = NS).

Conclusion

People do not have a dominant preference for AI-generated or traditional PEMs.

Practice implications

Further investigation on the use of AI for PEM generation is warranted. AI may be capable of generating PEMs that incorporate the strengths of traditional PEMs while also reducing the required resources for PEM generation.
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人们是否更喜欢人工智能生成的患者教育材料,而不是传统的?
目的:本研究旨在评估人们对传统和人工智能(AI)生成的结肠癌分期患者教育材料(PEMs)的偏好。方法:我们评估了在UT健康奥斯汀结肠直肠外科诊所接受非癌症诊断的患者和同伴的偏好。受试者不了解人工智能的研究概念和PEMs的生成方法(传统:美国国家癌症研究所和美国癌症协会;ai生成:ChatGPT和b谷歌Bard)。参与者完成了一项匿名的人口调查,并对他们对随机、去识别的材料的PEM偏好进行了排名。我们假设人工智能生成的PEMs与传统的PEMs之间没有偏好差异。本研究已获得IRB批准(STUDY00005203)。结果:招募了35名参与者,年龄27-79岁(平均46岁;SD 14岁),女性占57% %。54% %是四年制大学毕业生。在参与者中,51% %认为传统的pem是最受欢迎的,而49% %认为人工智能生成的pem是最受欢迎的(p = NS)。结论:人们对人工智能生成的pm和传统的pm并没有明显的偏好。实践意义:有必要进一步研究人工智能在PEM生成中的应用。人工智能可能能够生成结合传统PEM优势的PEM,同时减少生成PEM所需的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Patient Education and Counseling
Patient Education and Counseling 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.60
自引率
11.40%
发文量
384
审稿时长
46 days
期刊介绍: Patient Education and Counseling is an interdisciplinary, international journal for patient education and health promotion researchers, managers and clinicians. The journal seeks to explore and elucidate the educational, counseling and communication models in health care. Its aim is to provide a forum for fundamental as well as applied research, and to promote the study of organizational issues involved with the delivery of patient education, counseling, health promotion services and training models in improving communication between providers and patients.
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