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Is Information About Musculoskeletal Malignancies From Large Language Models or Web Resources at a Suitable Reading Level for Patients?
Clinical Orthopaedics and Related Research ( IF 4.2 ) Pub Date : 2024-09-25 , DOI: 10.1097/corr.0000000000003263
Paul G Guirguis, Mark P Youssef, Ankit Punreddy, Mina Botros, Mattie Raiford, Susan McDowell

Patients and caregivers may experience immense distress when receiving the diagnosis of a primary musculoskeletal malignancy and subsequently turn to internet resources for more information. It is not clear whether these resources, including Google and ChatGPT, offer patients information that is readable, a measure of how easy text is to understand. Since many patients turn to Google and artificial intelligence resources for healthcare information, we thought it was important to ascertain whether the information they find is readable and easy to understand. The objective of this study was to compare readability of Google search results and ChatGPT answers to frequently asked questions and assess whether these sources meet NIH recommendations for readability.

中文翻译:


来自大型语言模型或 Web 资源的肌肉骨骼恶性肿瘤信息是否适合患者的阅读水平?



患者和护理人员在接受原发性肌肉骨骼恶性肿瘤的诊断时可能会感到巨大的痛苦,随后转向互联网资源以获取更多信息。目前尚不清楚这些资源(包括 Google 和 ChatGPT)是否为患者提供可读信息,这是衡量文本易于理解程度的指标。由于许多患者转向 Google 和人工智能资源以获取医疗保健信息,因此我们认为确定他们找到的信息是否可读且易于理解非常重要。本研究的目的是比较 Google 搜索结果和 ChatGPT 答案对常见问题的可读性,并评估这些来源是否符合 NIH 对可读性的建议。
更新日期:2024-09-25
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