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大数据和人工智能在护理敏感性质量指标建设中的应用及效果。

Application and Effectiveness of Big Data and Artificial Intelligence in the Construction of Nursing Sensitivity Quality Indicators.

机构信息

Blood Purification Department, Lishui People's Hospital of Zhejiang Province, Lishhui Zhejiang, 323000, China.

出版信息

J Healthc Eng. 2021 Sep 21;2021:2087876. doi: 10.1155/2021/2087876. eCollection 2021.

Abstract

In order to explore the quality management efficiency of applying big data and artificial intelligence in nursing quality index, a method of building a nursing management platform integrating nursing indicators and nursing events is proposed. Based on the investigation of the application demand of nursing information system, the method achieves timely data sharing and transmission through WLAN technology and realizes nursing management monitoring, nursing quality index enquiry, and automatic statistical analysis under the vertical management mode of nursing. The results showed that 77 people (73%) thought the time decreased, 19 people (18%) thought the time was the same, and 9 people (7%) thought the time increased. In terms of intelligent application and big data of nursing information management system, there is a significant difference in nursing management efficiency before and after using nursing management information system ( < 0.001). The nursing management control platform is designed and applied, and the nursing quality control method and actual management process are improved, which is very good for strengthening nursing quality management. The overall optimization of the quality control process is realized, which helps to mobilize the initiative and enthusiasm of nursing staff and continuously improve the effectiveness of nursing management and nursing efficiency.

摘要

为了探索大数据和人工智能在护理质量指标中的质量管理效率,提出了一种构建护理指标和护理事件集成的护理管理平台的方法。该方法基于对护理信息系统应用需求的调查,通过 WLAN 技术实现了数据的实时共享和传输,并在护理垂直管理模式下实现了护理管理监控、护理质量指标查询和自动统计分析。结果表明,77 人(73%)认为时间减少了,19 人(18%)认为时间相同,9 人(7%)认为时间增加了。在护理信息管理系统的智能应用和大数据方面,使用护理管理信息系统前后护理管理效率有显著差异( < 0.001)。设计并应用了护理管理控制平台,改进了护理质量控制方法和实际管理流程,这对于加强护理质量管理非常有利。实现了质量控制过程的整体优化,有助于调动护理人员的积极性和主动性,不断提高护理管理和护理效率的有效性。

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