在放射学中实施人工智能的整体方法.
Bomi Kim1, Stephan Romeijn2, Mark van Buchem3
1House of Innovation (Department of Entrepreneurship, Innovation and Technology), Stockholm School of Economics, Stockholm, Sweden.
Insights into imaging
|January 25, 2024
概括
在医疗保健中实施人工智能 (AI) 需要一个整体的战略. 这个案例研究表明,将技术,工作流程和人员对齐是成功在放射学中采用人工智能的关键.
科学领域:
- 医疗信息学 医疗信息学
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 采用对于现代医疗保健至关重要,但实施面临重大障碍.
- 对于将人工智能成功整合到临床实践中,特别是在放射学中,实际见解有限.
研究的目的:
- 通过介绍详细案例研究的发现,解决医疗保健中人工智能实施差距.
- 在放射科部门内探索AI实施的整体方法.
主要方法:
- 在荷兰学术医疗中心进行了一项为期三年的纵向定性病例研究.
- 数据收集包括工作和会议观察,采访和文档分析.
- 抽象推理用于系统的数据分析,识别了关键的变革倡议主题.
主要成果:
- 在AI实施中确定了多层次的挑战:技术 (互操作性),工作流 (有限的互动) 和社会组织 (不同的期望,有限的经验).
- 一个整体的方法,调整社会和技术方面的方面,使组织能够最大限度地提高AI的好处.
- 案例研究表明,长期的举措对于成功的AI集成至关重要.
结论:
- 解决技术,工作流程和组织因素的整体战略对于在临床环境中实施AI至关重要.
- 在这些层面调整变革倡议有助于在放射学中广泛采用人工智能.
- 这种方法可以帮助组织通过人工智能集成创造可持续价值.
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