呼吸系统护理中的人工智能:知识,感知和实践-一个横截面研究.
Jithin K Sreedharan1, Asma Alharbi2, Amal Alsomali2
1Department of Respiratory Therapy, College of Health Sciences, University of Doha for Science and Technology, Doha, Qatar.
Frontiers in artificial intelligence
|September 18, 2024
概括
呼吸治疗师表现出对人工智能 (AI) 的认识,但缺乏实际经验. 将人工智能整合到呼吸系统护理中需要有针对性的教育和战略规划,以弥合知识差距并提高患者的治疗结果.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 呼吸系统医学 呼吸系统医学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变医疗保健,特别是呼吸系统医学和重症监护.
- 人工智能利用大数据和合成数据来提高诊断准确性和治疗结果.
- 这项研究评估了呼吸治疗师 (RT) 关于AI的知识,感知和实践.
研究的目的:
- 评估沙特阿拉伯RTs当前对人工智能的理解和采用情况.
- 确定人工智能整合到呼吸护理中的障碍和促进因素.
- 为人工智能在呼吸治疗中的教育策略提供信息.
主要方法:
- 在沙特阿拉伯的448名RT员工中进行了一项调查.
- 经过验证的调查问卷收集了关于AI知识,感知和经验的数据.
- 统计分析包括描述性统计,主题分析,费舍尔的精确测试和千平方测试.
主要成果:
- 28%的RTs有一些AI知识,但只有8.5%有实际经验.
- 在人工智能知识方面观察到显著的性别差异 (p < 0.001).
- 59%的人主张将人工智能纳入课程,51%的人认为人工智能在呼吸护理中发挥着至关重要的作用,41%的人要求专门的人工智能人员.
结论:
- 人工智能意识和技术人员的实际应用之间存在着显著的差距.
- 解决知识缺陷和提高技能对于人工智能采用至关重要.
- 战略教育规划对于有效整合人工智能和推进呼吸系统护理实践至关重要.
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