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

Abstract

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.