在医疗保健提供者中采用人工智能的因素
Thomas H Davenport1, John P Glaser2
1Operations and Information Management Division, Babson College, Wellesley, MA 02457 USA.
Discover health systems
|July 31, 2023
概括
由于组织和系统因素,医疗保健中的人工智能 (AI) 采用落后于其他部门. 了解这些障碍是成功在提供者组织中部署人工智能的关键.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 医疗保健管理的管理
背景情况:
- 人工智能 (AI) 应用在研究和商业中很普遍,但在医疗保健提供者组织中采用速度很慢.
- 这与人工智能在消费者和商业部门的快速采用形成鲜明对比,突出显示了医疗保健领域的独特挑战.
研究的目的:
- 审查影响医疗保健提供者组织慢慢采用人工智能的因素.
- 解释人工智能创新在临床和行政环境中延迟整合的原因.
主要方法:
- 这项研究综合了采访医疗管理人员,IT教授,顾问和AI供应商的见解.
- 分析的重点是监管部门的批准,报销,数据整合,临床教育,工作流适应和道德考虑等因素.
主要成果:
- 在临床和行政人工智能应用中,采用率显著不同.
- 关键障碍包括监管障碍,投资回报不清楚,与电子健康记录 (EHR) 进行数据整合的挑战,以及对临床工作人员教育的需求.
- 伦理考虑和无整合到现有的临床工作流程也是关键因素.
结论:
- 医疗保健提供者组织面临着AI采用独特的结构和功能障碍.
- 成功的部署需要战略规划,包括技术,财务,教育和道德等方面.
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