比较 Google 和 ChatGPT 在准确回答眼部整形相关患者问题和生成定制眼部整形患者教育材料方面的能力。

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2024-09-21 eCollection Date: 2024-01-01 DOI:10.2147/OPTH.S480222
Samuel A Cohen, Nikhita Yadlapalli, Jonathan D Tijerina, Chrisfouad R Alabiad, Jessica R Chang, Benyam Kinde, Nicholas R Mahoney, Kelsey A Roelofs, Julie A Woodward, Andrea L Kossler
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引用次数: 0

摘要

目的:比较谷歌和 ChatGPT 提供的眼部整形患者问题回复的准确性和可读性。此外,评估 ChatGPT 创建定制化患者教育材料的能力:我们在谷歌上进行了搜索,找出了与 10 种眼部整形疾病相关的 3 个最常见的患者问题(FAQ)。将常见问题输入谷歌搜索引擎和 ChatGPT 工具并记录回复。六位眼部整形外科医生使用五个经过验证的可读性指数对回复的可读性和准确性进行了分级。ChatGPT 被指示为 8 种眼部整形手术制作不同阅读水平的患者教育材料。对 ChatGPT 生成的手术解释的准确性和可读性进行了评估:结果:ChatGPT 对患者常见问题的回复的平均水平明显高于谷歌回复(15.6 级 vs 10.0 级,p < 0.001)。与谷歌回复(准确率为 78%)相比,ChatGPT 回复(准确率为 93%)的准确率明显更高(p < 0.001),并受到专家组成员(79%)的青睐。ChatGPT 以高于平均的阅读水平准确解释了眼部整形手术。当被要求以较低的阅读水平重写患者教育材料时,在不影响准确性的情况下,年级水平降低了约4级(分别为15.7级和11.7级,p < 0.001):结论:ChatGPT 有可能为患者提供准确的眼部整形信息。眼部整形外科医生也可将 ChatGPT 作为一种准确的工具,为不同健康素养的患者提供定制化的患者教育。让患者更好地了解眼部整形的条件和程序,可以让他们做出明智的眼部护理决定。
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Comparing the Ability of Google and ChatGPT to Accurately Respond to Oculoplastics-Related Patient Questions and Generate Customized Oculoplastics Patient Education Materials.

Purpose: To compare the accuracy and readability of responses to oculoplastics patient questions provided by Google and ChatGPT. Additionally, to assess the ability of ChatGPT to create customized patient education materials.

Methods: We executed a Google search to identify the 3 most frequently asked patient questions (FAQs) related to 10 oculoplastics conditions. FAQs were entered into both the Google search engine and the ChatGPT tool and responses were recorded. Responses were graded for readability using five validated readability indices and for accuracy by six oculoplastics surgeons. ChatGPT was instructed to create patient education materials at various reading levels for 8 oculoplastics procedures. The accuracy and readability of ChatGPT-generated procedural explanations were assessed.

Results: ChatGPT responses to patient FAQs were written at a significantly higher average grade level than Google responses (grade 15.6 vs 10.0, p < 0.001). ChatGPT responses (93% accuracy) were significantly more accurate (p < 0.001) than Google responses (78% accuracy) and were preferred by expert panelists (79%). ChatGPT accurately explained oculoplastics procedures at an above average reading level. When instructed to rewrite patient education materials at a lower reading level, grade level was reduced by approximately 4 (15.7 vs 11.7, respectively, p < 0.001) without sacrificing accuracy.

Conclusion: ChatGPT has the potential to provide patients with accurate information regarding their oculoplastics conditions. ChatGPT may also be utilized by oculoplastic surgeons as an accurate tool to provide customizable patient education for patients with varying health literacy. A better understanding of oculoplastics conditions and procedures amongst patients can lead to informed eye care decisions.

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