与大规模安全消息网络相关的网络行为:横截面二次数据分析
Laura Rosa Baratta1, Linlin Xia2, Daphne Lew3
1Division of Biology & Biomedical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
JMIR medical informatics
|July 10, 2025
概括
安全的消息网络揭示了医疗保健专业人员之间的沟通模式. 连接性影响信息传递行为,为改善临床协调和患者结果提供了洞察力.
科学领域:
- 医疗信息学 医疗信息学
- 社交网络分析 社交网络分析
- 医疗保健通信系统 医疗保健通信系统
背景情况:
- 安全消息是医疗保健专业人员首选的通信方法.
- 了解通信网络对于优化医疗保健服务至关重要.
- 关于这些网络的结构和动态的研究有限.
研究的目的:
- 调查大规模安全消息网络的特点.
- 分析网络结构和医疗保健专业人员的消息传递行为之间的关联.
主要方法:
- 来自中西部大型卫生系统的安全消息数据的社交网络分析 (2023年6月至11月).
- 全球和个人层面的量化网络属性.
- 使用等级分类来识别专业群体并评估消息传递行为 (阅读/响应时间,消息量,长度).
主要成果:
- 该网络包括31,800名专业人员和超过760万条消息.
- 网络特征因实践环境和专业角色而异.
- 出现了四个不同的集群,显示了消息行为中的显著差异; 一个住院医生的集群展示了最高的连接性和最快的响应时间.
结论:
- 医疗保健专业人员在安全消息网络中的连接性因角色和环境而异.
- 网络连接与日常消息传递行为有关.
- 研究结果为简化沟通的干预提供了见解,并可能改善临床医生的工作和患者的结果.
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