基于临床大数据的医疗质量监测辅助系统探讨

Manqi Wu, Xi-long Pan, D. Cheng, Chenyang Wang, Yonggang Li
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引用次数: 0

摘要

随着大数据、互联网和信息技术的发展,人工智能正逐步应用于医院管理领域。采用先进的人工智能技术,对医院当前医疗质量数据进行结构化采集和监测,从环节上识别影响医疗质量安全的关键点和关键事件,为医务人员行为提供预警、过程监控和事后评价,提高医院医疗质量管理水平。关键词:信息服务;人工智能;医疗质量;医疗安全;辅助系统
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Discussions on medical quality monitoring auxiliary system based on clinical big data
With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management. Key words: Information service; Artificial intelligence; Medical quality; Medical safety; Auxiliary system
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