评估ChatGPT在喘中的准确性和可靠性一般知识:对在公共卫生教育中使用人工智能的影响
1Department of Pharmaceutical Management, School of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta.
人工智能 (AI) 在喘教育方面表现有前途,ChatGPT准确地传达了一般知识. 然而,它在提供药物信息方面的可靠性需要进一步改进,以便全面的患者教育.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 公共卫生 公共卫生
背景情况:
- 人工智能 (AI) 在公共卫生教育中的整合为医学知识传播提供了进步.
- 专注于喘等慢性疾病强调了需要准确和可访问的信息.
- 评估对话式AI模型,特别是ChatGPT,对于喘相关内容的准确性至关重要.
研究的目的:
- 评估ChatGPT关于喘的反应的准确性和全面性.
- 为了确定人工智能为喘教育产生的信息的可靠性.
- 在ChatGPT的喘知识传播中确定优势和局限性的领域.
主要方法:
- 使用了涉及医疗保健专业人员的混合方法方法.
- 评估了与成人喘一般知识问卷 (AGKQA) 相比的ChatGPT反应.
- 评估响应的准确性和完整性,并进行统计分析以检查可重复性和一致性.
主要成果:
- 聊天GPT在病因学和病理生理学方面表现出高准确度 (100%).
- 在药物信息方面取得了实质性的准确性 (70%),并指出了局限性 (30%的混合准确性).
- 在所有类别中表现出100%的可复制性,表明信息传递一致.
结论:
- 聊天GPT为喘知识提供了一个有价值的教育工具,特别是一般概念.
- 需要不断改进以提高药物特定信息的可靠性.
- 人工智能在公共卫生教育中的作用需要对临床应用进行仔细的验证.
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