人工智能改变医疗保健的潜力:国际卫生领导者的观点
Christina Silcox1, Eyal Zimlichmann2,3, Katie Huber1
1Duke-Margolis Institute for Health Policy, Duke University, Washington, DC, USA &, Durham, NC, USA.
NPJ digital medicine
|April 9, 2024
概括
医疗保健中的人工智能 (AI) 需要标准化,可访问的数据用于开发和监控. 解决数据质量,基础设施,共享和激励措施对于实现AI在患者护理中的变革潜力至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗人工智能 医疗人工智能
- 卫生政策 卫生政策
背景情况:
- 人工智能 (AI) 为改善医疗保健结果,患者安全和可访问性提供了巨大的潜力.
- 人工智能对于应对人口老龄化,复杂疾病和医疗保健劳动力短缺等挑战至关重要.
- 目前的进展受到非标准化和不可访问的健康数据以及对AI性能监测的担忧所阻碍.
研究的目的:
- 确定在医疗保健中推进人工智能的优先行动领域.
- 为全球的医疗保健组织和政策制定者提供建议.
- 概述克服AI在卫生领域实施障碍的战略.
主要方法:
- 文献综述 文献综述 文献综述
- 专家召开专家会议
- 建立共识的练习.
- 健康的未来 (FOH) 和杜克-马戈利斯卫生政策研究所之间的合作.
主要成果:
- 确定了人工智能在医疗保健中的四个主要优先行动领域.
- 建议侧重于提高数据质量,建立强大的基础设施,促进数据共享,并建立激励措施.
- 这些行动被认为对于AI工具的可靠开发和有效部署至关重要.
结论:
- 标准化和可访问的健康数据对于人工智能开发和部署至关重要.
- 对基础设施,数据共享和激励的战略投资是必要的,以加速人工智能对医疗保健的积极影响.
- 需要采取积极的政策和组织变革,才能充分利用人工智能的潜力,改变医疗服务.
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