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      Construction and Application of Comprehensive Nursing Information Service Platform Based on Internet of Things Technology

      research-article
      Journal of Healthcare Engineering
      Hindawi

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          Abstract

          This study illustrates the construction and application of comprehensive nursing information service platform based on Internet of Things technology. An Internet-based cardiovascular care management platform, convenient before and after platform application, was constructed; 42 patients with cardiovascular disease were selected as the control group and observation group and 33 nurses participated in the same group, and the intervention lasted for 4 months. The control group received routine admission nursing, and the follow-up nursing nurses received traditional face-to-face teaching, training in the form of assessment. The observation group with the help of the cardiovascular specialist nursing management platform, during the whole process of nursing, nurses also manage patients and receive training through the platform. Experiments show the following: As a result, after the application of the platform, the satisfaction rate of nurses and patients on the platform was high, both reaching more than 92%. After the application of the platform, the scores of various nursing indicators were significantly higher than those before application (all P < 0.01). The construction of a cardiovascular specialist nursing management platform based on IoT technology integrates multiple modules on the medical and patient ends, which not only improves the level of nursing management but also improves the satisfaction of nurses and patients and, at the same time, helps to improve the self-value of nurses.

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          Most cited references24

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          Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things

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            An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong

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              Integrated Semantics Service Platform for the Internet of Things: A Case Study of a Smart Office

              The Internet of Things (IoT) allows machines and devices in the world to connect with each other and generate a huge amount of data, which has a great potential to provide useful knowledge across service domains. Combining the context of IoT with semantic technologies, we can build integrated semantic systems to support semantic interoperability. In this paper, we propose an integrated semantic service platform (ISSP) to support ontological models in various IoT-based service domains of a smart city. In particular, we address three main problems for providing integrated semantic services together with IoT systems: semantic discovery, dynamic semantic representation, and semantic data repository for IoT resources. To show the feasibility of the ISSP, we develop a prototype service for a smart office using the ISSP, which can provide a preset, personalized office environment by interpreting user text input via a smartphone. We also discuss a scenario to show how the ISSP-based method would help build a smart city, where services in each service domain can discover and exploit IoT resources that are wanted across domains. We expect that our method could eventually contribute to providing people in a smart city with more integrated, comprehensive services based on semantic interoperability.
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                Author and article information

                Contributors
                Journal
                J Healthc Eng
                J Healthc Eng
                JHE
                Journal of Healthcare Engineering
                Hindawi
                2040-2295
                2040-2309
                2022
                31 March 2022
                : 2022
                : 7178531
                Affiliations
                Chengdu Fifth People's Hospital, Chengdu 611130, China
                Author notes

                Academic Editor: Deepak Kumar Jain

                Author information
                https://orcid.org/0000-0003-4757-0177
                Article
                10.1155/2022/7178531
                8991410
                35399852
                087d3e19-7ce9-43a6-8dfb-52b94dc1f621
                Copyright © 2022 Xiaoxia Nie.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 January 2022
                : 22 February 2022
                : 7 March 2022
                Categories
                Research Article

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