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引用本文的文献

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本文引用的文献

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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。
Urol Pract. 2024 Jan;11(1):87-94. doi: 10.1097/UPJ.0000000000000490. Epub 2023 Nov 1.
2
The Social Determinants of Health - Moving Beyond Screen-and-Refer to Intervention.健康的社会决定因素——超越筛查与转诊,走向干预。
N Engl J Med. 2023 Aug 10;389(6):569-573. doi: 10.1056/NEJMms2211450.
3
Quality of information and appropriateness of ChatGPT outputs for urology patients.针对泌尿外科患者的ChatGPT输出信息质量及适用性
Prostate Cancer Prostatic Dis. 2024 Mar;27(1):103-108. doi: 10.1038/s41391-023-00705-y. Epub 2023 Jul 29.
4
Bridging the Gap Between Urological Research and Patient Understanding: The Role of Large Language Models in Automated Generation of Layperson's Summaries.弥合泌尿科研究与患者理解之间的差距:大型语言模型在生成非专业人士摘要方面的作用。
Urol Pract. 2023 Sep;10(5):436-443. doi: 10.1097/UPJ.0000000000000428. Epub 2023 Jul 5.
5
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum.比较医生和人工智能聊天机器人对发布在公共社交媒体论坛上的患者问题的回复。
JAMA Intern Med. 2023 Jun 1;183(6):589-596. doi: 10.1001/jamainternmed.2023.1838.
6
Is ChatGPT an Evidence-based Doctor?ChatGPT是循证医生吗?
Eur Urol. 2023 Sep;84(3):355-356. doi: 10.1016/j.eururo.2023.03.037. Epub 2023 Apr 13.
7
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.ChatGPT在美国医师执照考试中的表现:使用大语言模型进行人工智能辅助医学教育的潜力。
PLOS Digit Health. 2023 Feb 9;2(2):e0000198. doi: 10.1371/journal.pdig.0000198. eCollection 2023 Feb.
8
Artificial intelligence and health inequities in primary care: a systematic scoping review and framework.人工智能与初级保健中的健康不平等:系统综述和框架
Fam Med Community Health. 2022 Nov;10(Suppl 1). doi: 10.1136/fmch-2022-001670.
9
The Quintuple Aim for Health Care Improvement: A New Imperative to Advance Health Equity.医疗保健改善的五大目标:促进健康公平的新要务。
JAMA. 2022 Feb 8;327(6):521-522. doi: 10.1001/jama.2021.25181.
10
The Evolution of the Quintuple Aim: Health Equity, Health Outcomes, and the Economy.五重目标的演变:健康公平、健康结果与经济。
J Am Coll Cardiol. 2021 Nov 30;78(22):2262-2264. doi: 10.1016/j.jacc.2021.10.018.

绘制通往五重目标的路径:利用人工智能解决健康的社会决定因素。

Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health.

机构信息

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Jefferson College of Population Health, Philadelphia, PA 19107, USA.

出版信息

Int J Environ Res Public Health. 2024 May 31;21(6):718. doi: 10.3390/ijerph21060718.

DOI:10.3390/ijerph21060718
PMID:38928964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11203467/
Abstract

The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.

摘要

五重目标旨在通过解决健康的社会决定因素(SDOHs)来改善医疗保健,这些因素对 70-80%的医疗结果负责。SDOH 相关问题传统上通过转介给社会工作者和社区组织(CBO)来解决,但这些途径在将患者与资源联系起来方面收效有限。鉴于健康不平等预计到 2050 年将使美国损失近 3000 亿美元,新的人工智能(AI)技术可能有助于提供者解决 SDOH 问题。在这篇评论中,我们介绍了使用 ChatGPT 为宾夕法尼亚州费城的典型患者获取 SDOH 管理建议的经验。ChatGPT 确定了相关的 SDOH 资源,并提供了当地组织的联系信息。未来的探索可以改进 AI 提示,并将 AI 集成到电子病历中,以便在预约期间为医疗保健提供者提供实时的 SDOH 建议。