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利用人工智能改善乳房植入患者公平获得医疗服务的情况。

Utilization of Artificial Intelligence to Improve Equitable Healthcare Access for Breast Implant Patients.

作者信息

Ragsdale Louisa B, Kareh Aurora M, Gupta Rohun, Firouzbakht Peter K, Plikaitis Christina M, Rodby Katherine A

出版信息

Aesthet Surg J Open Forum. 2024 Oct 22;6:ojae093. doi: 10.1093/asjof/ojae093. eCollection 2024.

DOI:10.1093/asjof/ojae093
PMID:39678690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11646116/
Abstract

Recently, mandated FDA patient decision checklists were developed with the goal of improving the informed decision-making process for patients considering breast implants. However, these checklists are written at reading levels far higher than recommended by the National Institutes of Health and the American Medical Association. This study aims to improve the accessibility, and therefore, the utility of the mandated FDA patient literature for the average breast implant patient using the assistance of artificial intelligence (AI). Patient decision checklists were obtained from the 3 most utilized breast implant manufacturers in the United States-Allergan, Mentor, and Sientra. A novel patient decision checklist was synthesized by AI, written at the sixth grade reading level, using these checklists as source material. The AI-assisted checklist was edited by plastic surgeons for both formatting and content. The overall readability of Allergan, Mentor, and Sientra patient checklists correlated with the college reading level. These documents were of a statistically significantly higher reading level than the AI-assisted checklist, which was written at the recommended sixth grade level. Text composition analysis similarly demonstrated substantial differences between the AI-assisted and FDA-mandated literature. The currently mandated breast implant patient checklists are written at a college reading level and are inaccessible to the average patient. The authors propose a new patient decision checklist, generated with the assistance of AI, to improve healthcare access within plastic surgery. This simplified material can be used as an adjunct to the current checklists to improve shared decision making.

摘要

最近,美国食品药品监督管理局(FDA)规定的患者决策清单得以制定,目的是改善考虑植入乳房假体的患者的知情决策过程。然而,这些清单的阅读难度远超美国国立卫生研究院和美国医学协会的建议水平。本研究旨在借助人工智能(AI)提高FDA规定的患者资料对普通乳房植入患者的易获取性,进而提高其实用性。患者决策清单取自美国使用最多的三家乳房植入物制造商——艾尔建(Allergan)、曼托(Mentor)和仙特拉(Sientra)。以这些清单为素材,人工智能合成了一份新的患者决策清单,其阅读难度为六年级水平。整形外科医生对这份由人工智能辅助生成的清单的格式和内容进行了编辑。艾尔建、曼托和仙特拉患者清单的整体可读性与大学阅读水平相当。这些文件的阅读水平在统计学上显著高于人工智能辅助清单,后者是按照建议的六年级水平编写的。文本构成分析同样表明,人工智能辅助文献与FDA规定的文献之间存在显著差异。目前规定的乳房植入患者清单是按照大学阅读水平编写的,普通患者难以理解。作者提议借助人工智能生成一份新的患者决策清单,以改善整形外科的医疗服务可及性。这份简化后的材料可作为当前清单的补充,以促进共同决策。

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本文引用的文献

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Optimizing Ophthalmology Patient Education via ChatBot-Generated Materials: Readability Analysis of AI-Generated Patient Education Materials and The American Society of Ophthalmic Plastic and Reconstructive Surgery Patient Brochures.通过聊天机器人生成的材料优化眼科患者教育:人工智能生成的患者教育材料和美国眼科整形重建外科学会患者手册的可读性分析。
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Eur Arch Otorhinolaryngol. 2024 Feb;281(2):985-993. doi: 10.1007/s00405-023-08319-9. Epub 2023 Nov 2.
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Comparison of ChatGPT and Traditional Patient Education Materials for Men's Health.比较 ChatGPT 和传统男性健康患者教育材料。
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Utilization of ChatGPT-4 in Plastic and Reconstructive Surgery: A Narrative Review.ChatGPT-4在整形与重建外科中的应用:一篇叙述性综述。
Plast Reconstr Surg Glob Open. 2023 Oct 26;11(10):e5305. doi: 10.1097/GOX.0000000000005305. eCollection 2023 Oct.
5
Navigating Food and Drug Administration Mandated Breast Implant Patient Literature: A Call to Increase Equitable Healthcare Access Within Plastic Surgery.解读美国食品药品监督管理局规定的乳房植入患者资料:呼吁在整形外科领域增加公平的医疗服务可及性。
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6
Comparison of Patient Education Materials Generated by Chat Generative Pre-Trained Transformer Versus Experts: An Innovative Way to Increase Readability of Patient Education Materials.比较 ChatGPT 生成的患者教育材料与专家生成的材料:一种提高患者教育材料可读性的创新方法。
Ann Plast Surg. 2023 Oct 1;91(4):409-412. doi: 10.1097/SAP.0000000000003634.
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Preservation of Human Creativity in Plastic Surgery Research on ChatGPT.在关于ChatGPT的整形外科学研究中保护人类创造力。
Aesthet Surg J. 2023 Aug 17;43(9):NP726-NP727. doi: 10.1093/asj/sjad162.
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