加拿大医院的人工智能研究:大都市能力的发展
Pierre Pelletier1,2, Aldo Geuna1,3,4, Daniel Souza5
1University of Turin, Torino, Italy.
Healthcare management forum
|August 22, 2024
概括
加拿大医院采用人工智能 (AI) 是由当地研究和医院合作推动的. 公共人工智能研究和医院间合作伙伴关系是整合人工智能到医疗保健中的关键.
科学领域:
- 医疗保健管理的管理
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 在医疗保健系统中的整合正在迅速发展.
- 了解影响医院AI部署的因素对于有效实施至关重要.
- 加拿大医院在2000年至2021年间对人工智能技术的采用率有所不同.
研究的目的:
- 检查2000年至2021年在加拿大医院的AI部署情况.
- 调查当地研究生态系统和AI中心对AI采用的影响.
- 确定成功在医疗保健环境中整合人工智能的关键驱动因素.
主要方法:
- 对加拿大大都会医院人工智能部署趋势的分析.
- 评估公共和私人研究生态系统对人工智能能力的影响.
- 评估国家和国际人工智能枢纽联系的作用.
- 检查医院间合作模式.
主要成果:
- 公共研究机构的AI成果显著提高了医院的AI能力.
- 医院之间的合作对于成功的AI集成至关重要.
- 多伦多,蒙特利尔和温哥华等大都市地区处于人工智能部署的最前沿.
- 当地的AI研究实力和国际伙伴关系是关键因素.
结论:
- 当地人工智能研究生态系统和医院间的合作对于在加拿大医疗保健中采用人工智能至关重要.
- 政策制定者和卫生领导人应该促进这些联系,以加速人工智能传播.
- 有针对性的策略可以增强人工智能集成,改善医疗保健服务.
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