构建人工智能和数字生态系统:智能医院的数据驱动途径,实现医疗保健卓越
Weien Chow1,2, Narayan Venkataraman3,4, Hong Choon Oh5
1Department of Cardiology, Changi General Hospital, Singapore.
Singapore medical journal
|October 15, 2025
概括
这项研究详细介绍了智能医院的数字化转型之旅,强调了数据分析,人工智能和物联网对患者护理和运营的影响. 未来的成功需要强大的AI治理和医疗保健创新的数字第一战略.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 数字化健康转型
- 人工智能在医学中的应用
背景情况:
- 全球医院都认识到数据和数字化转型在改善医疗服务的关键作用.
- 集成先进技术对于现代化医院运营和患者护理至关重要.
研究的目的:
- 记录一个智能医院在建立人工智能和数字生态系统 (AIDE) 的数据驱动之旅.
- 评估数字化转型对患者护理和医院运营的影响.
- 确定医疗数字化的关键成功因素,挑战和机会.
主要方法:
- 分析智能医院的数据驱动计划和技术采用.
- 测量数字化转型对患者结果和运营效率的影响.
- 识别关键技术组件,如数据分析,人工智能,物联网和机器人.
主要成果:
- 推动转型的关键技术包括数据分析,人工智能,云计算,医疗物联网 (MIoT) 和机器人.
- 通过数据利用,观察到患者护理和医院运营的显著改善.
- 确定在数字化过程中遇到的关键成功因素和挑战.
结论:
- 一个强大的AI治理框架,企业风险管理,AI保证和AI素养对于未来的成功至关重要.
- 医院必须采取数字化准备,数字化第一的战略,以促进创新和建立可持续的医疗保健系统.
- 持续投资数字化转型对于实现医疗保健卓越和未来服务至关重要.
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