芳庇护医院的人工智能应用:机遇和挑战
Ming Li1, Xiao-Hu Li2, Kai-Yuan Min3
1Institute for Hospital Management, Tsinghua University, Beijing 100084, China.
Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
|September 28, 2025
概括
人工智能 (AI) 可以增强Fangcang庇护医院,以更好地应对流行病. 克服数据访问和成本等挑战是实现AI的关键.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 方康避难所医院对于疫情应对至关重要,提供集中隔离和护理.
- 人工智能 (AI) 提供了优化这些设施的机会,以提高效率和患者的治疗结果.
研究的目的:
- 探索人工智能在Fangcang庇护所医院中的变革潜力.
- 确定AI整合在这些环境中的关键应用领域和挑战.
主要方法:
- 在医疗保健环境中对人工智能应用进行文献综述和概念分析.
- 在临时医疗设施中实施AI的关键成功因素和障碍的识别.
主要成果:
- 人工智能应用包括选址,临床决策支持,文档,机器人和运营管理.
- 重要挑战包括数据可访问性,隐私,算法适应性,成本和硬件可靠性.
结论:
- 应对挑战需要标准化数据框架,可解释的人工智能,道德监督和利益相关者合作.
- 成功整合人工智能可以显著提高Fangcang医院的应急准备和运营效率.
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