医疗保健专业人员对ChatGPT的知识,态度和做法
1Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Jixi 218, Hefei 230022, China.
The American journal of managed care
|September 20, 2024
概括
中国的医疗保健专业人员对ChatGPT知识较差,但表现出积极的态度和积极的做法. 需要进一步的教育,以提高对这种AI工具在医疗保健环境中的理解和应用.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 医学教育 医学教育
背景情况:
- 人工智能 (AI) 的快速发展需要了解其在医疗保健中的应用.
- 一个著名的AI语言模型ChatGPT为医疗实践提供了机遇和挑战.
- 评估医疗保健专业人员 (HCP) 关于ChatGPT的知识,态度和实践 (KAP) 对其有效整合至关重要.
研究的目的:
- 调查有关ChatGPT的医疗人员的KAP.
- 确定KAP之间的相关性,并探索知识和态度对实践的影响.
- 为提高医疗保健提供者的人工智能素养的策略提供信息.
主要方法:
- 在2023年8月至9月期间,在中国一所大学附属医院的医疗保健工作者中进行了一项基于网络的横截面研究.
- 不愿意使用ChatGPT的参与者被排除在研究之外.
- 用皮尔森相关性和结构方程建模 (SEM) 分析数据,以评估KAP分数之间的关系.
主要成果:
- 总共分析了543份有效问卷,其中42.54%由男性医疗保健人员填写.
- 平均分数表明对ChatGPT.PT的知识较差 (55.92%),积极的态度 (70.90%) 和积极的做法 (79.85%).
- 知识与态度和实践有积极的相关性,而态度对实践的各个方面都有积极的影响. 然而,知识对所有测量的实践维度产生了负面影响.
结论:
- 在中国,愿意使用ChatGPT的医疗保健人员表现出差异:知识差异与积极的态度和积极的实践形成对比.
- 这些发现强调了有针对性的教育干预措施的必要性,以弥合知识差距,并优化在医疗保健中使用像ChatGPT这样的AI工具.
- 进一步的研究应该探索导致知识对实践产生负面影响的因素,并开发人工智能集成的最佳实践.
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