Objective
To find convenient methods for remote consultation of images of ocular fundus diseases.
Methods
A remote consultation system composed of internet was set up.The con sultation information,including images,words and figures,was published on intern et as web pages,so that the consultants would get the notice and the appointment by email.After reading the information on line,the consultants gave their opinions back to internet.
Results
The remote consultation system of images of ocular fundus diseases was setted up and managed successfully,and 23 patients had been diagnosed by this system.
Conclusion
The system which has clinical practicality is a simple,quick,effective and economic method for remote consultation of images of ocular fundus diseases.
(Chin J Ocul Fundus Dis, 2001,17:247-248)
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.
At present, the rapid integration and development of internet technology and medical services have made internet diagnosis and treatment an important part of medical services, and it is also an inevitable development trend of future diagnosis and treatment services. In order to meet the needs of patients for more timely, accurate and convenient medical treatment, West China Hospital of Sichuan University has innovated the internet diagnosis and treatment mode, adopted the innovative mode of diversified online services, pre-treatment mode, expert team mode, specialized medical consortium platform and whole process management, optimized medical resources and structure, promoted regional medical association linkage, and improved patients’ medical experience. The West China Internet Hospital of Sichuan University takes the whole process ecological closed-loop of “medical+health” as the goal, has greatly improved the efficiency and quality of diagnosis and treatment, which is of great significance for the positioning and development of internet hospital. This article will share the construction experience of West China Internet Hospital of Sichuan University.
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.
ObjectiveTo explore the development and application of a novel ventilator alarm management model in critically ill patients receiving invasive mechanical ventilation (MV) in the intensive care unit (ICU) using machine learning (ML) and Internet of Medical Things (IoMT). The study aims to identify alarms’ intervention requirements. MethodsA retrospective cohort study and ML analysis were conducted, including adult patients receiving invasive MV in the ICU at West China Hospital from February 10, 2024, to July 22, 2024. A total of 76 ventilator alarm-related parameters were collected through the IoMT system. Feature selection was performed using a stratified approach, and six ML algorithms were applied: Gaussian Naive Bayes, K-Nearest Neighbors, Linear Discriminant Analysis, Support Vector Machine, Categorical Boosting (CatBoost), and Logistic Regression. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC-ROC). ResultsA total of 107 patients and their associated ventilator alarm records were included. Thirteen highly relevant features were selected from the 76 parameters for model training through stratified feature selection. The CatBoost model demonstrated the best predictive performance, with an AUC-ROC of 0.984 7 and an accuracy of 0.912 3 in the training set. External validation of the CatBoost model yielded an AUC-ROC of 0.805 4. ConclusionThe CatBoost-based ML model successfully constructed in this study has high accuracy and reliability in predicting the ventilator alarms in ICU patients, providing an effective tool for ventilator alarm management. The CatBoost-based ML method exhibited remarkable efficacy in predicting the necessity of ventilator intervention in critically ill ICU patients. Further large-scale multicenter studies are recommended to validate its clinical application value and promote model optimization and implementation.
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.
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.
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.
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.
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.
