Ito Márcia, Appel Ana Paula, de Santana Vagner Figueredo, Moyano Luis G
IBM Research, Sao Paulo, SP, Brazil.
Department of Statistical Physics and Complex Systems, CONICET and Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Mendoza, Argentina.
Stud Health Technol Inform. 2017;245:412-416.
Care teams are formed by physicians of different specialties who take care of the same patient. Hence, if we find physicians that share patients with each other probably they configure an informal care team. Thus, the objective of this work is to explore the possibility of finding care teams using Social Network Analysis techniques in physician-physician networks where the physicians have patients in common. For this, we used healthcare insurance claims to build the network. There was the agreement on the metrics of degree and eigenvalue and of betweenness and closeness, also physicians with the 5 highest eigenvalues are highly interconnected. We discuss that the analysis of the physician-physician network with metrics of centrality is promising to reveal informal care teams. The high potential in calculating these metrics is verified from the results to evaluate member's performance and with that how to take actions to improve the work of the team.
护理团队由照顾同一名患者的不同专业的医生组成。因此，如果我们发现彼此共享患者的医生，那么他们可能构成了一个非正式护理团队。因此，这项工作的目的是探索在医生-医生网络中使用社会网络分析技术来发现护理团队的可能性，在这些网络中医生有共同的患者。为此，我们使用医疗保险理赔数据来构建网络。在度、特征值以及介数和接近度的指标上达成了一致，此外，特征值最高的5位医生之间的联系非常紧密。我们讨论了用中心性指标对医生-医生网络进行分析有望揭示非正式护理团队。从评估成员绩效的结果以及如何采取行动改进团队工作中可以验证计算这些指标的巨大潜力。
