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Co-designing an intelligent doctors-colleagues-patients social network

机译:共同设计一个智能的医生-同事-患者社交网络

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In this paper we use the concept of co-design and human information system to suggest the doctors, colleagues and patients (DCP) social network that enables communication between clinics, doctors and patients; and among the doctors to improve the standard. We propose a DCP social network architecture based on the cloud computing and two algorithms. The first algorithm initializes the working group list into the proposed P2P network and integrates them with current network such as Swedish National projects (NPO). The second algorithm enables user to search DCP social network using criteria such as near distance and location. In DCP social network, how patients make judgments in selecting their physicians interpret the important aspects which are not only the way patients relate to the information system but also what the role of intelligent DCP social network in healthcare sector. Experimental results show that the proposed method based on DCP social network which requires co-designing has the execution time less than that of traditional Azure P2P network. As a second contribution, WG list helps to control the growth of DCP social networks nodes.
机译:在本文中,我们使用协同设计和人类信息系统的概念来建议医生,同事和患者(DCP)的社交网络,以实现诊所,医生和患者之间的交流。并在医生当中提高标准。我们提出了一种基于云计算和两种算法的DCP社交网络架构。第一种算法将工作组列表初始化为建议的P2P网络,并将其与当前网络(例如瑞典国家项目(NPO))集成。第二种算法使用户能够使用诸如近距离和位置之类的标准来搜索DCP社交网络。在DCP社交网络中,患者如何在选择医生时做出判断,以解释重要方面,这些方面不仅是患者与信息系统的联系方式,而且是智能DCP社交网络在医疗保健领域的作用。实验结果表明,所提出的基于DCP社交网络的协同设计方法的执行时间比传统的Azure P2P网络要短。作为第二个贡献,工作组列表有助于控制DCP社交网络节点的增长。

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