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The Collaborative Coordination of Special Interest Groups on the Telemedicine University Network (RUTE) in Brazil
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In Brazil the Telemedicine University Network (Rede Universitária de Telemedicina RUTE) is an initiative that among others promotes collaboration between university hospitals, universities, and health professionals through information technology infrastructure and special interest groups (SIGs) support. This paper presents results of analyses on collaboration during implementation and coordination activities of RUTE SIGs. This study is based on descriptive statistics and data visualization previously collected by RUTE national coordination relative to the status in July 2014. The analysis through collaboration graph identified the strongest collaboration RUTE units. The graph also highlights the collaborative relationship of RUTE units in form of communities, the most collaborative with each other in a communion in the same SIGs, and the less the collaborative units in the network. It should be stated that the most active units are also the oldest in the community.
Title: The Collaborative Coordination of Special Interest Groups on the Telemedicine University Network (RUTE) in Brazil
Description:
In Brazil the Telemedicine University Network (Rede Universitária de Telemedicina RUTE) is an initiative that among others promotes collaboration between university hospitals, universities, and health professionals through information technology infrastructure and special interest groups (SIGs) support.
This paper presents results of analyses on collaboration during implementation and coordination activities of RUTE SIGs.
This study is based on descriptive statistics and data visualization previously collected by RUTE national coordination relative to the status in July 2014.
The analysis through collaboration graph identified the strongest collaboration RUTE units.
The graph also highlights the collaborative relationship of RUTE units in form of communities, the most collaborative with each other in a communion in the same SIGs, and the less the collaborative units in the network.
It should be stated that the most active units are also the oldest in the community.
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