为机构整合选择人工智能解决方案的战略考虑:一个单一中心的经验
Janice L Pascoe1, Luqing Lu2, Matthew M Moore3
1Department of Information Technology, Mayo Clinic, Rochester, MN.
Mayo Clinic proceedings. Digital health
|April 10, 2025
概括
人工智能 (AI) 提供了显著的医疗保健好处,但成功实施需要仔细规划. 人工智能工具的战略选择,整合和验证对于优化患者护理和运营效率至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗技术 医疗技术 医学技术
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 为医疗保健提供提供了变革性的潜力.
- 关键应用包括早期疾病识别,优化测试选择和任务自动化.
- 人工智能算法的实际选择和集成仍然存在挑战.
研究的目的:
- 为医疗保健领导人概述一个战略框架,以导航人工智能部署.
- 解决影响人工智能技术在临床环境中成功采用的关键因素.
- 引导机构最大限度地利用人工智能在医疗保健中的好处.
主要方法:
- 对医疗保健中人工智能实施的战略考虑的审查.
- 强调将人工智能采用与机构优先事项保持一致.
- 讨论算法选择,验证和工作流集成.
主要成果:
- 成功整合人工智能需要一个全面的战略来解决成本,患者/提供者的好处,以及准备.
- 算法验证,以用户为中心的设计和可用性测试对于有效性至关重要.
- 在部署后,持续改进和持续支持至关重要.
结论:
- 在医疗保健中导航人工智能实施需要谨慎的规划和执行.
- 结构化的方法使机构能够克服复杂性,并充分利用AI的全部潜力.
- 战略性人工智能采用可以带来优化成本效益的护理和改善临床实践.
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