ObjectiveUse information technology to establish an “Internet+” chronic disease management model to provide patients with a full process, seamless, and convenient services. Explore a new model of “Internet+” chronic disease management and care services in the region. Methods Patients with chronic diseases treated in Mianyang Central Hospital from May 2018 to April 2019 were selected. The patients were randomly divided into intervention group and control group according to the single and even number at the end of hospitalization number. The control group adopted the traditional chronic disease management mode, and the intervention group adopted the “Internet+” chronic disease management mode based on the patients’ needs. And select the nursing experts who provide “Internet+” online nursing services. Compared with the effective management before and after the implementation of “Internet+” chronic disease management, the number of patients with chronic diseases, clinical outcome indicators, the number of health education readings, the number of Internet nursing services, and the sense of professional benefit of nurses and other indicators, etc. Results A total of 143 patients were included, including 78 in the control group and 65 in the intervention group. A total of 28 nursing experts were investigated. The effective management rate of patients with chronic diseases was 78.7%. The WeChat public account “Slow Disease Window” has read nearly 90 000 person-times, and the Internet Hospital “Nursing Professional Online” has nearly 2 000 online nursing services. After participating in “Internet+” chronic disease management, the disease activity and functional status of chronic disease patients were significantly improved (P<0.05). Nursing professionals have a strong sense of professional benefits (P<0.05). Conclusions With the development of “Internet+” chronic disease management, a new mode of chronic disease management was explored to promote the management of chronic disease more convenient and efficient, so that the health education work can be homogenized, the clinical outcome of the patients was effectively improved. At the same time the career planning of nursing staff can be broadened.
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.
There are more than 6 800 urban public hospitals in China, which are the main subject of our country's medical service, but the process and efficiency need to be improved because of the siphon effect of resources and the limit of service scope. The use of internet thinking and technology will solve this problem effectively. Based on the fact, Deyang People's Hospital planned "internet+" system according to the requirement of the medical and health system reform, to solve the problems such as service efficiency, doctor-patient communication, multi-spot disciple, hierarchical medical system, delicacy management, etc. Through the concrete practice of elevating the efficiency of outpatient and emergency care services, it is recognized that the application of internet thinking and technology can not only accelerate the medical and health system reform, but also subvert the traditional medical pattern, integrate the regional medical resource, and enlarge the scope of medical services. It provides a sharp weapon to push forward the reform of urban public hospitals.
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.
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.
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.
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.
Objective To preliminarily assess the ameliorative effect of Mom’s Good Mood (MGM) on the prevalence of antenatal depression based on a pilot study, and to provide evidence for a scale-up study. Methods This study was conducted in Ma’anshan Maternal and Child Health Center as a pilot study of an implementation study conducted in China called the Perinatal Depression Screening and Management (PDSM) program. In 2019, 1 189 participants (gestational week ≤14+6 weeks) were included in the implementation group. Females were recruited in the first trimester and followed up in the second and third trimesters. At each time point, the participants’ depression status was screened by the Edinburgh postpartum depression scale (EPDS), and those who were screened as having depression were provided the MGM intervention. In 2020, 1 708 participants who underwent screening with the EPDS in either the first, second or third trimester at Ma’anshan Maternal and Child Health Center were included in the control group. Mann‒Whitney U test, Chi-square, and multivariate logistic regression analysis were used to compare the EPDS scores and depression prevalence between the control and implementation groups to assess the ameliorative effect of MGM (screening and intervention) on antenatal depression. Results In the first trimester, there were no statistically significant differences in EPDS scores or depression prevalence between the two groups (P>0.05). In the second and third trimesters, both the EPDS scores and depression prevalence of the implementation group were lower than those of the control group (P<0.05). After adjusting for confounders, logistic regression analysis showed that the risks of depression in the implementation group in both the second and third trimesters were lower than those in the control group (ORsecond trimester=0.55, 95%CI 0.37 to 0.81, P=0.003; ORthird trimester=0.51, 95%CI 0.35 to 0.74, P<0.001). Conclusion Implementation of the MGM based on the primary care system can effectively reduce the prevalence of antenatal depression, providing evidence for further scale up.
Objective To explore the construction and application of a new follow-up visit model in the context of Internet hospital consultation, aiming to create a novel follow-up visit model that integrates precise identification of follow-up patients, messages of follow-up reminders, online free follow-up visits, and promotional activities. Methods Satisfaction surveys were conducted among outpatient patients and doctors at Jintang County First People’s Hospital from July 2023 to June 2024. Patients and doctors were divided into two groups based on whether the online free follow-up visit program had been implemented: the pre-implementation group (July to December 2023) and the post-implementation group (January to June 2024). The satisfaction levels of patients and doctors before and after the implementation were compared and analyzed. Results A total of 17 831 patient visits and 801 doctor visits were included. Since its launch, WeChat messages had been pushed to all outpatient patients, and both WeChat and SMS messages had been pushed to patients in surgical departments. The average waiting time for outpatient visits in January-June 2024 was shortened by 2 minutes compared with the same period last year (January-June 2023). The hospital’s Case Mix Index increased by 3.7%, and the surgical volume increased by 7.5%. After the launch of the Internet hospital, both patient and doctor satisfaction improved. Conclusion The new follow-up visit model of the Internet hospital represents an important initiative in the digital transformation of hospitals and holds value and significance for promotion in more county-level medical institutions.
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.