领导者可以通过对人工智能的战略方法来优化医疗保健系统
S Amy Sommer1, Julee Minniti2, Matthew B Bloom3
1S. Amy Sommer, is an associate professor of Health Policy and Management at the DeGroote School of Business, McMaster University in Hamilton, ON. Her research focuses on leaders and teams in healthcare systems. She specializes in organizational crisis management to build resilience, fostering creativity and innovation, and artificial intelligence in healthcare.
Healthcare quarterly (Toronto, Ont.)
|December 11, 2025
概括
人工智能 (AI) 对医疗保健的采用提出了独特的挑战. 本研究提出了在加拿大实施人工智能的战略框架.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 公共卫生系统 公共卫生系统
背景情况:
- 在采用人工智能 (AI) 方面,医疗保健系统面临着独特的挑战.
- 加拿大的公共卫生系统经历了需要数字化转型的特定痛点.
- 人工智能为提高医疗保健生产力,效率和财务节省提供了巨大的潜力.
研究的目的:
- 确定在加拿大公共卫生系统中采用人工智能的关键挑战.
- 为医疗保健中有效实施人工智能提出战略框架.
- 为医疗保健领导者,学者和从业人员提供指导.
主要方法:
- 分析加拿大公共卫生系统的痛点.
- 开发人工智能工具的战略实施框架.
- 审查人工智能在医疗管理和生产率方面的潜在好处.
主要成果:
- 确定了在加拿大医疗保健中采用人工智能的关键障碍.
- 提出了整合人工智能技术的结构化方法.
- 突出提高了生产力,行政效率和财务成果.
结论:
- 对人工智能的战略实施对于改变加拿大公共卫生系统至关重要.
- 拟议的框架为有效的AI整合提供了一份路线图.
- 人工智能的采用可以在医疗保健提供和资源管理方面取得实质性改进.
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