主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2020, Vol. 20 ›› Issue (5): 686-690.doi: 10.3969/j.issn.1672-1756.2020.05.010

• 新冠肺炎专题 • 上一篇    下一篇

新型冠状病毒肺炎疫情防控期间护理管理工作中信息传递质量改善研究

冯志仙 沈鸣雁 陈翔 董迪 葛玉花   

  1. 树兰(杭州)医院护理部,310022
  • 出版日期:2020-05-15 发布日期:2020-05-15
  • 作者简介:冯志仙,本科,主任护师,教授,副院长兼护理部主任,E-mail:zhixian.feng@shulan.com
  • 基金资助:
    浙江省医药卫生科技计划项目(2020KY242)

mprovement of information transmission in nursing management during the outbreak of the COVID-19

FENG Zhixian, SHEN Mingyan, CHEN Xiang, DONG Di, GE Yuhua   

  1. Nursing Department, Shulan (Hangzhou) Hospital, Hangzhou, 310022, China
  • Online:2020-05-15 Published:2020-05-15

摘要: 目的:基于信息传递模型,建立新型冠状病毒肺炎疫情防控期间护理信息管理方案,以期提高信息传递质量。方法:针对疫情防控管理信息发布需要,护理部组建4个工作群作为信息源;选择“企业微信”作为信道;护理单元和护士作为一级、二级信宿;做好“信息发出-传播-接收-反馈”关键节点管理和闭环式质量控制。结果:2020年1月21日至2月8日,护理部共发布信息3?076条,接收率为100.0%;护理管理时效性工作均按时完成;使用百度人工智能(AI)开放平台的自然语言处理系统对工作群发布的信息进行情感分析,“重要通知群”“全院护士交流群”发布的文字信息正向情感分析为83.3%、100.0%。结论:基于信息传递理论模型建立科学的应急护理管理信息传递方案,有助于保障信息传递质量、建立正确的舆论导向。

关键词: 信息传递模型;新型冠状病毒肺炎;公共卫生事件;护理管理研究

Abstract: Objective: Based on the information transmission model, a new nursing information management plan for the prevention and control of the COVID-19 was established to improve information transmission. Methods: Four working groups were set up as the sources of information by the nursing department on the platform of corporate WeChat to meet the need of information releasing for better prevention and control management. As the first and secondary receivers of information, respectively, nursing units and nurses were supposed to effectively manage the key nodes of 'information sending, disseminating, receiving and feedback' and conduct closed-loop quality control. Results: From January 21 to February 8, 2020, the nursing department had released a total of 3076 messages with the reception rate being 100.0% and the time-effective work of nursing management had all been completed on time. The natural language processing system of Baidu AI open platform was used to carry out a sentiment analysis of messages released in the four working groups and the positive sentiment analysis result of the text information released by the 'Important Notification Group' and 'Nurse Staff Communication Group' was 83.3% and 100.0%, respectively. Conclusion: Establishing a scientific nursing management information transmission scheme for emergency based on the information transmission theory model can help to ensure better information transmission and build a correct direction of public opinion.

Key words: information transmission model; COVID-19; public health emergencies; nursing administration research

中图分类号: 

  • R47