Objective To explore a new teaching mode relying on the new media platform, aiming to stimulate residency standardized trainees’ interest in learning theories related to gynecology outpatient surgery, improve practical operation skills, and achieve better teaching effects. Methods The residency standardized trainees who rotate in the gynecology outpatient of West China Second University Hospital, Sichuan University between July 2021 and June 2022 were selected. According to the random number table method, the trainees were divided into the control group (using the traditional teaching mode) and the intervention group (using the teaching mode of combining the flipped classroom and simulated teaching relying on the new media platform). The assessment results, teacher evaluation, trainees self-evaluation and teaching satisfaction of the two groups were compared and analyzed. Results A total of 118 trainees were enrolled, 59 in each group. There was no significant difference in gender, age, years of training and education level between the two groups (P>0.05). The total scores of evaluation scores (87.59±4.54 vs. 85.17±3.70), teachers’ evaluation (87.05±3.79 vs. 85.14±3.75), and trainees’ self-evaluation (87.81±4.41 vs. 85.54±3.96) of trainees in the intervention group were better than those in the control group, and the differences were statistically significant (P<0.05). The clinical thinking ability [teachers’ evaluation (24.49±1.62 vs. 23.22±2.05), trainees’ self-evaluation (25.25±1.99 vs. 23.97±2.27) and operation skills [teachers’ evaluation (37.05±1.58 vs. 36.10±1.99), trainees’ self-evaluation (36.75±2.73 vs. 35.66±2.56)] of trainees in the intervention group were better than those in the control group, and the differences were statistically significant (P<0.05). The satisfaction rate of the trainees in the intervention group was 98.3%, and that of the trainees in the control group was 93.2%. The teaching satisfaction of the intervention group was better than that of the control group (P<0.05). Conclusion The teaching mode of combining flipped classroom and simulated teaching relying on the new media platform has effectively stimulated residency standardized trainees’ learning interest in gynecological outpatient surgery, improved trainees’ clinical practice ability, improved teaching satisfaction, achieved good teaching results, and can be promoted as a new teaching mode.
ObjectiveTo study the current situation of WeChat public platforms in 15 provincial hospitals in Hubei Province.MethodsWe searched the website of National Health Commission of the People’s Republic of China, website of Health Commission of Hubei Province, and the official website of each hospital. The WeChat public platforms of 15 provincial hospitals in Hubei Province was determined as the research object. Samples were taken in July, 2019 and the observation cut-off point was on October 30, 2019. All the contents released by the WeChat public platforms in July were counted. Literature research, descriptive statistics, content analysis, WeChat transmission index analysis, observation indicators and other methods were used for analysis and research.ResultsAmong the 15 hospitals, 14 hospitals (93.3%) had established 20 WeChat public platforms, and 5 hospitals (33.3%) simultaneously opened service accounts and subscription accounts. The functions of serving the patients’ medical experience mainly included identity registration, appointment registration, information inquiry, patient feedback, intelligent medical guidance, etc. WeChat tweets were mainly divided into 38.0% of popular medical science, 11.4% of hospital news, 15.8% of medical service, 13.6% of party and government construction, and 21.2% of patient interaction. The monthly push times of 6 WeChat public platforms (30.0%) were less than 4 times. The monthly original rate of WeChat public platform tweets was 16.3%. Among the top 10 WeChat public platforms in the WeChat communication index, 8 (80.0%) were service accounts. There was a big gap in the dissemination effect of tweets.ConclusionsThe WeChat public platform of provincial hospitals in Hubei Province has problems such as single type of WeChat public platform, imperfect service functions, unreasonable tweets frequency, insufficient originality of tweets, and uneven communication effects. It is necessary to enrich platform types, improve platform functions, ameliorate the frequency of tweets, improve the originality of tweets, and pay attention to communication effects.
ObjectiveTo investigate the current situation of domestic registry studies, and to provide basis for future research.MethodsWorld Health Organization (WHO) registration platform, ClinicalTrials.gov registration platform and other registration platforms were searched to collect the registered registration studies in Mainland China from inception to July 31st, 2018. Two researchers collected and collated data, analyzed by descriptive statistical methods, and then python-igraph package in Python 3.5 was used to draw the network diagram.ResultsA total of 247 studies were retrieved, mainly for disease registry and pharmaceutical product registry. Cohort and case-series were the principally study design. The research focused on chronic diseases such as cardiovascular and cerebrovascular diseases, and research sites were based on the economically developed area, for example, Beijing, Shanghai and Guangdong. The network diagram of study design and disease system shows that cohort research design is widely used in the nervous system and circulatory system; the network diagram of the research sites and disease system found that Beijing mainly studied circulatory and nervous system diseases, Shanghai mainly studied circulatory system diseases, and Guangdong relatively studied more on nervous system and urinary system diseases.ConclusionThe increasing number of registry studies in China reflects the importance of long-term outcome assessment of diseases.
In order to promote the effective development of hospital day surgery mode, a construction method of information management platform that meets the characteristics of day surgery mode is presented. By analyzing the business process of the day surgery mode, the system architecture of the information platform is given; according to the difficulty of the surgical scheduling, the two-stage surgical scheduling algorithm based on the ranking theory is given; by analyzing the day surgery data statistically, a multi-angle surgical index analysis module is provided. The information management of the day surgery mode has been realized, and the work efficiency has been improved. A reasonable day surgery information platform construction can help to optimize the daytime surgical procedure and promote the smooth development of day surgery.
As a science which focuses on evidence, the decision making process of evidence medicine encounters an opportunity for development in the big data era. The starting point is shifting forward from evidence to data. The big data technology is playing an active role in evidence's collection, process and utilization. Evidence is more objective, righteous, authentic, transparent and easier to collect. Thus, to initiate evidence-based medicine research in the big data era and to structure an evidence-based medicine intelligent service platform, a full-scaled strategy should be developed in order to improve the quality of evidence. To promote the complete publicity of clinical research data, structuralized clinical data standard should be constructed. To provide a pathway to patients' follow-up data, portable and wearable monitoring devices should be popularized. To avoid risks from utilization of clinical research big data, regulations of clinical data usage should be implemented.
In recent years, day surgery has developed rapidly in China. Day surgery management has shifted from extensive to refined, but there are still many problems in the service system of day surgery in Chinese hospitals. In order to further optimize the allocation of medical resources, improve the level of medical service capacity, and build a “patient-centered, safe, efficient, and orderly” day surgery service system, Northern Jiangsu People’s Hospital has integrated big data, mobile internet, and artificial intelligence since 2019, creating a smart information big data platform. This paper summarizes the experience of Northern Jiangsu People’s Hospital in promoting the high-quality development of day surgery services in the whole hospital from five aspects of top-level design, diagnostic and therapeutic process, medical quality and safety, medical supporting services, and supervision mechanism, with a view to providing reference for the implementation of overall management of day surgery in the hospital.
According to system reform of the current medical insurance diagnosis related groups, quality control of rehabilitation medicine and requirements of information management, this paper constructs a rehabilitation information system by using the theoretical framework and core sets of International Classification of Functioning, Disability and Health (ICF). Then, the constructed system is embedded into the work of rehabilitation medicine team. By the four processes of ICF items evaluation, rehabilitation goal setting, team cooperation scheme formulation and reevaluation, the operation process of rehabilitation information management based on ICF is formed, which strengthens comprehensively the rehabilitation diagnosis and treatment standards and improves the efficiency of quality control management. The big data mining and multi-dimensional analysis in this platform can provide support of medical insurance payment, achieve exchanging and sharing rehabilitation medical quality control data among hospitals at different levels in different regions, assist tertiary referral and remote rehabilitation, improve the rehabilitation medical service system, and enhance the level of rehabilitation medical care. This paper will summarize the application experience of constructing ICF rehabilitation information management system.
In the context of informatization and digitization, medical big data has become crucial for promoting medical research and technological innovation, posing unprecedented challenges to the construction and operation of big data research supercomputing platforms. This article systematically elaborates on the construction plan of the scientific research supercomputing platform of the West China Biomedical Big Data Center of Sichuan University, as well as the management and service models that support data research. It also compares the scale and operation of existing scientific research supercomputing platforms at home and abroad, providing a reference for the construction and management of medical big data scientific research supercomputing platforms in other institutions.
Objective To analyze the current state, evaluate the accuracy, and determine the influencing factors of hypertension-related subscriptions from official health WeChat accounts. Methods The 36 official health WeChat accounts on the WeChat official accounts monthly list │ September 2022 China WeChat Top 500·New Rank certification were searched using the term "hypertension". We identified diabetes-related subscriptions published from April 1, 2022 to September 30, 2022. The accuracy of subscriptions was analyzed according to the consistency with clinical practice guidelines and was independently assessed by two specialists. SPSS 22.0 software was used for data analysis. Results One hundred and one subscriptions from 36 official health WeChat accounts were included. Forty-seven (46.5%) subscriptions were evaluated as consistent, seven (6.9%) subscriptions were evaluated as inconsistent, and forty-seven (46.5%) subscriptions were evaluated as unconfirmed. The differences between the numbers of reads, "wow" and "like" per thousand reads, were statistically significant. Consistency rates were higher for tweets backed by evidence and experts, and for tweets posted by public figures with the accreditation type "government". Conclusion Hypertension tweets have a good audience base, some of the content is inconsistent with current clinical guideline recommendations, and readers have little ability to screen them. There is a need to develop and improve the review mechanism for writing and publishing hypertension tweets on WeChat.
Objective To explore the feasibility and clinical effect of management of children with epilepsy based on WeChat platform. Methods The WeChat platform for management of children epilepsy was designed according to the idea of the management of chronic diseases. The objective and control groups were investigated by the case-control study. Eighty children with epilepsy who took part in the platform were served as the experimental group. At the same time, 80 children with epilepsy who did not take part in the platform were served as the control group. The questionnaire of basic conditions and users’ perceived acceptance and usage of the platform designed by ourselves were used to collect related information. Results Sixty parents of children with epilepsy continuously used the platform and among them 48 parents (80.0%) had high satisfaction degree of the platform. The factors which affected the satisfaction degree of the platform among basic conditions included whether the users were busy, the comprehensive degree of knowledge about epilepsy before they took part in the study and the degree of taking medicine on time(P<0.05).There were no differences in satisfaction degree among different children sex, residence, parents’ sex, education level, approaches and willingness of knowledge acquisition(P>0.05). Follow-up of 60 children with epilepsy who had been in the platform for 6 months showed total effective rate was 96.7%, while the total effective rate of the control group was 81.4%. Conclusions Management of children with epilepsy based on WeChat platform is feasible and well accepted. Not only does it contribute to standard long-term management of children epilepsy and health education, but also it improves the efficiency of clinical treatment. It is a new way of the management of children with epilepsy.