两个新加坡公共卫生保健AI应用国家查计划和其他例子
Andy Wee An Ta1, Han Leong Goh1, Christine Ang1
1Department of Data Analytics and AI Integrated Health Information Systems (IHiS) Private Limited Singapore Singapore.
Health care science
|June 28, 2024
概括
两个人工智能 (AI) 系统正在增强新加坡.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床工作流程优化 临床工作流程优化
背景情况:
- 在新加坡,与糖尿病相关的眼睛疾病的患病率不断上升.
- 越来越多的重入医院,特别是在复杂病情的老年患者中.
- 在公共医疗保健中需要高效和综合的AI解决方案.
研究的目的:
- 描述两个人工智能系统在国家医疗保健查计划中的整合.
- 突出临床需求和运营环境如何影响人工智能部署.
- 分享从医疗保健中大规模人工智能实施中吸取的经验教训.
主要方法:
- 部署一个半自动化的AI系统,用于糖尿病相关的眼睛疾病查.
- 实施人工智能辅助系统,用于预测住院患者再接收风险.
- 设计选择的分析受成本效益,患者参与和包容性的影响.
主要成果:
- 半自动化人工智能在糖尿病查方面取得了实质性的生产力提升.
- 对再接收风险的AI模型优先考虑患者参与,而不是最大的预测准确性.
- 成功地将AI整合到常规的临床工作流程中.
结论:
- 根据特定的医疗保健需求和运营约束来定制AI部署至关重要.
- 人工智能设计中的权衡 (例如,自动化水平,准确性与参与) 对于临床实用性来说是必要的.
- 新加坡的公共卫生系统正在积极推进各种计划的AI整合.
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