建立知识共享网络指标系统,用于基于社交网络分析的药物治疗管理服务培训团队
Rui Tong1,2,3, Wenpu Lei4, Simin Yan2
1Department of Pharmacy, Nanjing Drum Tower Hospital, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China.
BMC medical education
|October 7, 2024
概括
优化药物治疗管理服务 (MTMS) 培训需要特定的网络结构. 社交网络分析揭示了MTMS团队有效分享知识的关键指标,提高了培训质量.
科学领域:
- 社交网络分析 社交网络分析
- 健康 专业 教育 卫生 专业 教育
- 知识管理知识管理
背景情况:
- 社交网络理论为理解知识共享动态提供了一个框架.
- 通过优化知识共享,可以提高药物治疗管理服务 (MTMS) 培训质量.
- 确定网络指标对于提高MTMS培训效率至关重要.
研究的目的:
- 探索一个网络指标系统,以在MTMS培训团队中进行最佳的知识共享.
- 为优化MTMS培训和提高其质量提供参考.
主要方法:
- 社交网络分析 (SNA) 结合问卷调查.
- 为MTMS培训团队构建知识共享矩阵.
- 从个人,整个网络和凝聚性子组的角度评估知识共享.
主要成果:
- 最佳的个体网络中心性:外度≥3.5,内度≥2.5,自向量≥0.065,接近度≥7.86.
- 整个网络的最佳条件:密度>0.0343和规模<117名参与者.
- 凝聚性子组分析显示,当成员的工作年数相似时,其有效性是显著的.
结论:
- 基于社交网络分析的指标系统可以优化MTMS培训模型.
- 开发的系统有助于提高MTMS培训的整体有效性.
- 网络结构显著影响知识共享和培训成果.
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