通过指导来加速医疗保健中的AI创新
Divya Kamath1,2, Bemnet Teferi1,3, Rebecca Charow1,2
1University Health Network, Toronto, ON, Canada.
Studies in health technology and informatics
|February 19, 2024
概括
这项研究在加拿大医疗保健中实施了一项人工智能 (AI) 辅导计划,发现它对参与者的专业发展产生了积极的影响. 关键建议侧重于组织承诺,结构性支持和基于团队的指导,以成功整合人工智能.
科学领域:
- 医疗保健创新 医疗保健创新
- 人工智能实施的实施方法
- 医疗信息学 医疗信息学
背景情况:
- 与其他国家相比,加拿大医疗保健系统在人工智能 (AI) 采用方面落后.
- 障碍包括社会技术因素,如组织的准备和有限的AI理解.
- 需要有结构的计划来促进人工智能在医疗保健中的发展和采用.
研究的目的:
- 为加拿大医疗保健专业人员实施和评估为期五个月的AI指导计划.
- 开发参与者的人工智能工具集并增强他们的理解.
- 为未来的人工智能指导和实施计划提供基于证据的建议.
主要方法:
- 进行了为期五个月的人工智能指导计划.
- 12位创新者正式与来自不同背景的11位专家进行了配对.
- 整合了两个研讨会,并采访了8名参与者以获得反.
主要成果:
- 导师计划为参与者的专业发展做出了积极贡献.
- 接受采访的参与者报告说,他们对该计划的有效性有很好的看法.
- 该计划成功地旨在开发参与者的AI工具集.
结论:
- 未来的人工智能指导计划应该确保组织对参与者的承诺.
- 建议在整个计划中整合结构性支持.
- 采用以团队为基础的指导方法可以提高计划的成功.
- 调查结果为促进人工智能在加拿大医疗保健中的整合政策提供了证据基础.
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