Global AI Governance: Maturity and Implementation in Leading Hospitals for Responsible AI in Healthcare
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 350
- 试验地点
- 1
- 主要终点
- Current AI Governance set-up
研究概览
简要总结
Despite growing interest in artificial intelligence (AI) for Healthcare, successful implementation practices are still limited due to the complexity of developing and deploying AI systems. Effective AI governance is essential for safe, ethical and regulatory-compliant deployment of clinical AI. This study qualitatively evaluates both the maturity of AI implementation and the governance frameworks applied by leading "smart" hospitals. Findings will inform a consolidated governance toolkit for hospitals seeking responsible, scalable AI adoption.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Senior digital-health executives (e.g. Managing Director / Senior Management of Chief Information / Digital Officer or equivalent) designated by each hospital.
- •Written informed consent
排除标准
- 未提供
结局指标
主要结局
Current AI Governance set-up
时间窗: Hospitals will have 6 weeks from the moment they receive the survey to complete it, and we anticipate needing about four months to conduct the interviews.
We will distribute an online questionnaire to all 350 hospitals identified as "Best Smart Hospitals" in Newsweek's 2026 ranking. The survey will capture each institution's current AI governance structures, and self-reported outcomes, as well as key demographic and operational characteristics. The questionnaire is based on the AI governance frameworks from Seanz et al., AI governance in health systems by Duke Health and the AI preparedness assessment developed by the European TRAIN initiative.
次要结局
未报告次要终点
研究者
Davy van de Sande
Post-doc, dr.
Erasmus Medical Center