Objective To explore the influencing factors of internet game addiction among middle school students. Methods Students from a certain district in Sichuan between September 2022 and March 2023 were included as participants. Basic information such as gender, age, whether the subjects were only children, place of residence, parental education, and subjective economic status were investigated. The nine-item Internet Gaming Disorder Scale-short form was used to investigate whether participants had internet game addiction, and the Berkman-Syme Social Network Index was used to evaluate the participants’ social level. Multiple linear regression analysis was used to conduct multivariate analysis to explore the influencing factors of internet game addiction. Results A total of 594 questionnaires were distributed, and 592 valid questionnaires were ultimately obtained. The detection rate of internet game addiction was 12.0%. Multiple linear regression analysis showed that gender (t=−8.281, P<0.001), age (t=3.211, P=0.001), subjective economic status in the region (t=2.025, P=0.043), and social level (t=−4.239, P<0.001) were the influencing factors of online game addiction. Due to the P value was close to the set test level (0.05), subjective economic status in the region was not considered an influencing factor of internet game addiction. Conclusion Teenagers with male gender, older age, and lower social skills are more likely to develop addiction to internet games.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients’ cardiopulmonary function, and management of patients outside hospital.
The national policy on high-quality development of hospitals proposes to strengthen information technology support and actively promote the multi-disciplinary team (MDT) model. How to use the “Internet Plus” technology and operation mode to promote MDT communication and improve the efficiency of diagnosis and treatment in the digital and intelligent information age is a direction worthy of attention and research. This paper systematically reviews the current development status of MDT informatization construction at home and abroad. Based on the current challenges and opportunities, it makes prospects for the future development of MDT informatization construction from the aspects of strengthening the digital and intelligent support of MDT operation, connecting MDT “information silos”, and deepening the construction of MDT supervision and effect evaluation system, etc.
The paper summarizes three revolution trends of medical service mode in the age of 5th generation mobile networks (5G), including artificial intelligence & intelligent medical service, internet of things & internet hospital, and intelligent hospital. Artificial intelligence & intelligent medical service mainly covers artificial-intelligence-assisted diagnosis, artificial-intelligence medical decision-making, and artificial-intelligence-assisted new drug research & development. Internet of things & internet hospital mainly covers internet hospitals, internet care, cloud pharmacies, and medical imaging clouds. Intelligent hospitals mainly cover intelligent clinics, intelligent wards, and intelligent management. The revolution trends count on not only techniques such as 5G, but also the support and cooperation of the government and society. The risk of information and data leak needs attention.
Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
With the rapid development of information technology, medical reforms in various countries are moving towards informatization, and internet medical projects have been carried out gradually. Internet hospitals, as one of the manifestations of internet medical projects, have the advantages of improving the efficiency of medical services, revitalizing and effectively sinking high-quality medical resources, and therefore has become the focus of China’s next stage of medical reform. However, internet hospitals are innovative and local products of China, leading its practices lack of domestic and foreign theoretical research, as well as experience, which results in government policies and hospital management strategies are both moving forward in groping, and the construction outcomes vary. Therefore, this article aims to analyze the comprehensive dilemmas currently confronted by internet hospitals in China in different stages of construction, operation and management based on PDCA cycle, and thus, puts forward corresponding construction thinking and analysis in a targeted manner, and proposes guidance for the further development of internet hospitals.
Basing on the internet education implemented during China’s fighting against the outbreak of coronavirus disease 2019, and combining with literature review and personal experience in internet teaching, the paper puts forward 10 suggestions from the perspective of problem-analysis, including policy guidance, enhancement of hardware and software capacities, teacher talent teams, diversity of education and teaching, standardization and normalization, integration of quality resources, examination system, supporting industry, exchange and cooperation, and network information security education, to further strengthen the construction and development of internet education in China.
The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People’s Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
ObjectiveTo summarize the experience of earthquake rescue with the help of wise information technology.MethodsThe Jiuzhaigou earthquake of magnitude 7.0 occurred at 21:19 on August 8th 2017. Three hours and 38 minutes after the earthquake, a triad model of remote consultation, mobile video consultation and mobile text consultation was established to assist the earthquake rescue based on the mobile on-line medical consultation application and telemedicine center in West China Hospital. Patients classification, primary diagnosis, psychological counseling, victims searching were done by this novel rescue model.ResultWithin 72 hours after the earthquake, there were 114 doctors taking part in the earthquake rescue, including 4 remote consultations (hospital to hospital), 7 video consultations (doctor to victim), 487 mobile text consultations (doctor to victim), and 32 cases of which were highly relative to earthquake rescue, including one case of positioning for victim-searching.ConclusionThe triad model of earhquake rescue which was first initiated by West China Hospital played an important role in assisting earthquake rescue and achieved good results.
ObjectiveTo systematically review the incidence of internet addiction disorder among college students in China.MethodsPubMed, EMbase, VIP, WanFang Data and CNKI databases were electronically searched to collect cross-sectional studies on incidence rate of college students’ internet addiction in China from inception to February 2020. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by Stata 16.0 software.ResultsA total of 65 cross-sectional studies involving 87 702 subjects were included. The results of meta-analysis showed that: the overall incidence of college students’ internet addiction in China was 10.7% (95%CI 9.6% to 11.8%). The incidence of internet addiction from 2011 to 2018 (11.7%, 95%CI 10.2% to 13.2%) was higher than that from 2005 to 2010 (9.6%, 95%CI 8.1% to 11.1%). The incidence in male students (14.6%, 95%CI 13.1% to 16.0%) was higher than that in female students (6.9%, 95%CI 5.9% to 7.8%). The incidence of urban students (12.2%, 95%CI 9.3% to 15.2%) was higher than that of rural students (9.0%, 95%CI 7.3% to 10.6%). The incidence of students who were not satisfied with their major (16.2%, 95%CI 5.5% to 26.8%) was higher than that of satisfied (5.0%, 95%CI 1.3% to 8.8%). The incidence of students with poor academic performance (29.4%, 95%CI 11.9% to 47%) was higher than of excellent academic performance (4.1%, 95%CI 1.9% to 6.4%).ConclusionsThe incidence rate of internet addiction among college students in China shows an obvious upward trend. There are differences in the incidence rates of internet addiction among college students in different regions. The incidence rates of internet addiction are different among different genders, degree of satisfaction with their majors and academic achievements.