共同设计智能医生-同事-患者社交网络

M. Pirahandeh, Deok‐Hwan Kim
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引用次数: 11

摘要

本文运用协同设计和人类信息系统的概念,提出了医生、同事和患者(DCP)社会网络,实现了诊所、医生和患者之间的沟通;并在医生之间提高水平。提出了一种基于云计算的DCP社交网络架构和两种算法。第一个算法将工作组列表初始化到提议的P2P网络中,并将其与现有网络(如瑞典国家项目(NPO))集成。第二种算法允许用户使用距离和位置等标准搜索DCP社交网络。在DCP社会网络中,患者如何做出选择医生的判断,不仅是患者与信息系统的联系方式,也是智能DCP社会网络在医疗保健领域的作用。实验结果表明,该方法基于需要协同设计的DCP社交网络,执行时间少于传统Azure P2P网络。作为第二个贡献,WG列表有助于控制DCP社交网络节点的增长。
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Co-designing an intelligent doctors-colleagues-patients social network
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.
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