根据加拿大医生,在紧急医疗中对人工智能的需求和期望
Kyle W Eastwood1, Ronald May2, Pantelis Andreou3
1Department of Emergency Medicine, Dalhousie University, 1796 Summer Street, Halifax Infirmary, 4Th Floor Emergency Department Administration Office, Halifax, NS, B3H 2Y9, Canada. ky675200@dal.ca.
BMC health services research
|July 25, 2023
概括
加拿大紧急医生优先考虑人工智能用于文档和患者分拣. 他们认为人工智能有很大的潜力来改善紧急医疗工作流程,并且对其发展非常感兴趣.
科学领域:
- 紧急医疗 紧急医疗
- 人工智能的人工智能
- 临床信息学 临床信息学
背景情况:
- 人工智能 (AI) 准备改变紧急医疗 (EM) 实践.
- 许多现有的AI工具缺乏跨学科的需求评估,限制了它们更广泛的适用性.
- 这项研究解决了了解加拿大紧急医生 (EP) 对AI工具的要求的需要.
研究的目的:
- 确定和优先考虑加拿大议会最需要的基于人工智能的工具.
- 引导人工智能在紧急医疗中的开发和实施.
主要方法:
- 对加拿大EP进行了一项全国性的,横截面的,混合方法的电子调查.
- 该调查收集了有关人口统计,实践模式,人工智能认知和人工智能工具优先级的数据.
- 医生根据益处对EM工作活动和特定AI示例进行了排名.
主要成果:
- 首要的AI工具包括自动图表,临床预测规则和生命体征监测与早期预警检测.
- 人工智能用于文档,计算机使用和患者分拣被列为最优先的工作活动.
- 欧洲议会成员对人工智能表达了强烈的兴趣,对人工智能有很高的信心,相信它有助于文档的潜力.
结论:
- 医生的意见对于在EM中成功采用AI至关重要.
- 人工智能驱动的文档工具是欧洲议员的首要任务.
- 这项研究为EM人工智能发展提供了路线图,解决了数据访问和报告准则等障碍.
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