基于临床优先级标准的医疗转诊分类中的人工智能
Ahmad Abdel-Hafez1,2, Melanie Jones2, Maziiar Ebrahimabadi2
1College of Computing & Information Technology, University of Doha for Science and Technology, Doha, Qatar.
Frontiers in digital health
|November 15, 2023
概括
人工智能 (AI) 可以使用临床优先级标准 (CPC) 来自动化医疗推分类. 这种人工智能工具帮助临床医生,提高专家效率和患者获得护理的机会.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 手动分类医疗转诊是耗时和资源密集的.
- 临床优先级标准 (CPC) 对于在专业门诊服务中评估患者紧急情况至关重要.
- 转诊管理中的低效率可能导致患者护理的延迟.
研究的目的:
- 开发和评估一种人工智能 (AI) 方法,用于自动化医疗推的分类.
- 评估人工智能工具支持临床医生应用临床优先级标准 (CPC) 的能力.
- 提高专业门诊服务推管理的效率.
主要方法:
- 机器学习技术被用来开发一个由人工智能驱动的推分类工具.
- 分析了来自两个昆士兰州医院 (2019-2022) 的17,378例耳鼻喉 (ENT) 转诊情况.
- 人工智能生成的转介类别与手动分拣决策的比较.
主要成果:
- 人工智能工具在手动分配的推类别中显示了53.8%的同意水平.
- 该研究探讨了AI在现实世界临床转诊环境中的应用.
- 调查结果表明,人工智能有可能帮助管理大量推量.
结论:
- 人工智能提供了一种有前途的方法,可以根据CPC指南自动化医疗推分类.
- 开发的AI工具有可能提高临床专家的效率和患者获得医疗保健的机会.
- 需要进一步的研究和验证,以优化AI在临床决策支持中的性能.
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