临床医生对儿童ED的决策支持和基于AI的决策支持的观点
Sriram Ramgopal1,2, Michelle L Macy1,2,3, Ashley Hayes3
1Division of Emergency Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago.
Hospital pediatrics
|September 25, 2024
概括
人工智能增强的临床决策支持 (AI-CDS) 对儿科紧急护理具有前景,可能提高准确性和效率. 然而,需要仔细整合,以解决临床医生对自主权和细微患者护理的担忧.
科学领域:
- 儿科急救医学 儿科急救医学
- 临床信息学 临床信息学
- 医疗保健中的人工智能
背景情况:
- 临床决策支持 (CDS) 系统可以增强儿科护理,但存在警报疲劳等局限性.
- 人工智能增强的CDS (AI-CDS) 可能可以克服当前的CDS挑战.
- 评估临床医生对AI-CDS的看法对于有效实施至关重要.
研究的目的:
- 评估临床医生的看法,并确定CDS和AI-CDS的优势.
- 了解AI-CDS在儿科紧急情况中的潜在好处和挑战.
主要方法:
- 使用半结构面试对20名临床医生 (医生,NP,护士) 进行定性研究.
- 在四级护理儿科急诊室进行.
- 采用了反射性主题分析和有目的的抽样.
主要成果:
- 临床医生对CDS和AI的理解有所不同;许多人认识到AI-CDS对数据总结和解释的潜力.
- 确定的好处包括改善诊断准确性,护理标准化,效率和临床医师教育.
- 提出的担忧包括AI处理细微护理的能力,数据解释准确性和临床医生的自主性.
结论:
- AI-CDS对儿科急诊医学具有前景,但需要仔细整合.
- 解决临床医生对自主性,细微差别和可解释性的担忧至关重要.
- 通过临床医生的见解进行合作开发和实施是成功采用的关键.
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