scholarly journals A Novel Method of Clinical Nursing under the Medical Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Tingting Ou ◽  
Xuehua Cai ◽  
Meichun Wang ◽  
Feirong Guo ◽  
Biyu Wu

Internet of things technology began to spread to all industries of our lives; the application of medical internet of things in many hospitals highlighted its advantages and brought a lot of convenience to patients and medical staff. With the continuous progress of China’s medical reform and the continuous improvement of patients’ requirements for medical service quality, this paper discusses the application of medical internet of things in clinical nursing in ward, and the basic information collection, infusion, and mobile nursing were discussed and studied. Through the parallel control study of the laboratory itself, this paper evaluates whether the two different clinical measurement methods of medical internet of things technology and traditional technology are consistent in body temperature, pulse, respiration, and blood oxygen saturation. At the same time, it also deeply studies the value and advantages of internet of things technology in the application of other monitoring indicators in clinical nursing and analyses the problems in its application. The experimental data show that the two measurement methods with different principles can be completely replaced in clinical application, and the time efficiency of the new clinical nursing method under the medical internet of things technology in mapping body temperature, pulse, and respiration has been improved by 76.20% and 72.02%, respectively, surpassing the traditional information technology and realizing the intelligent, automatic, and standardized data acquisition method. It ensures the authenticity of data and the real-time of information flow and meets the needs of resource sharing and medical regional interconnection.

2013 ◽  
Vol 798-799 ◽  
pp. 699-702
Author(s):  
Ya Bing Jiao

Logistics public information platform is an important part of logistics informationization is to provide public service platform, to the logistics industry is between logistics enterprise resource sharing, complementary advantages of the platform, and logistics supply chain organization and operation control of the central nervous. This paper mainly constructs the logistics public information platform based on Internet of things technology. Logistics public information platform is mainly composed of data management, service management, portal features and operational management of four subsystems. Service management subsystem is the core of this platform, release subscription service management module for the design. Logistics public information platform based on improving the efficiency of the logistics, reduce logistics cost for the purpose, in order to realize efficient across the enterprise logistics information exchange and sharing.


Author(s):  
Zuoshan Li

With the continuous progress of society, the level of science and technology of the country has made a leap forward development, the research energy of various industries on new science and technology continues to deepen, greatly promoting the promotion of science and technology. At the same time, with the increase in social pressure, more and more people pursue spiritual relaxation, and appropriate leisure and entertainment activities have gradually become a part of people’s life. Film plays an irreplaceable role in leisure and entertainment. Mainly from the background of the development of the film industry towards intelligent direction, and then use machine learning technology to study the application of film animation production and film virtual assets analysis and investigation. Based on the Internet of things technology, we also vigorously develop the ways and methods of visual expression of movies, and at the same time introduce new expression modes to promote the expression effect of the intelligent system. Finally, by comparing various algorithms in machine learning technology, the results of intelligent expression of random number forest algorithm in machine learning technology are more accurate. The system is also applied to 3D animation production to observe the measurement error of 3D motion data and facial expression data.


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