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.
ObjectiveTo explore the function of information system platform in the management of outpatient registration source. MethodsOn the basis of registration appointment system, we surveyed again on outpatients traffic between February 6th and 10th in 2012 to find out find out the disadvantages of outpatient service procedures. Certain measures were taken for improvement, especially the management of registration source. ResultsAfter improvement by certain measures, queuing phenomenon and the degree of congestion in the waiting area were improved. To some extent, the satisfaction of patients and doctors was raised from 91% to 93%. ConclusionStandardizing outpatient administration and behavior of patients by information system platform has a good effect and is worth promoting.
The full-cycle rehabilitation management for orthopedic patients can solve the problems of standardization, systematization, and whole process of orthopaedic rehabilitation management, and prevent short-term and long-term complications. The First Affiliated Hospital of Sun Yat-sen University has constructed a full-cycle rehabilitation management platform for orthopedic patients based on multi-source data since 2023, including six modules: multi-source data collection and integration module, intelligent individualized rehabilitation program setting module, and visual rehabilitation training module, and has explored a digitally-driven full-cycle rehabilitation management mode for orthopedic patients. This article elaborates on the platform’s functional design and implementation, full-cycle rehabilitation management mode, and application effectiveness, in order to provide a reference for promoting the integration of mobile health and orthopedic patient rehabilitation practice.
In the field of artificial intelligence (AI) medical imaging, data annotation is a key factor in all AI development. In the traditional manual annotation process, there are prominent problems such as difficult data acquisition, high manual labor intensity, strong professionalism and low labeling quality. Therefore, an intelligent multimodal medical image annotation system is urgently needed to meet the requirements of labeling. Based on the image cloud, West China Hospital of Sichuan University collected the multimodal image data of hospital and allied hospitals, and designed a multi-modal image annotation system through information technology, which integrated various image processing algorithms and AI models to simplify the image data annotation. With the construction of annotation system, the efficiency of data labeling in the hospitals is improved, which provides necessary data support for the AI image research and related industry construction in the hospital, so as to promote the implementation of artificial intelligence industry related to medical images in the hospital.
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.
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.
With the continuous advancement of internet technology and the improvement of internet literacy among the general population, the concept of online-offline integration in internet hospitals has gradually gained acceptance and has been applied and developed both domestically and internationally. In thoracic surgery, the applicability of this model lies in enhancing efficiency and delivering comprehensive, diversified, and personalized medical services to address complex and severe conditions. However, challenges such as hardware limitations and diagnostic/treatment risks persist during the implementation of internet hospitals. Through future in-depth and localized research, the online-offline integration of internet hospitals is expected to undergo further development and refinement. This progress will facilitate its integration into clinical practice in thoracic surgery, ultimately providing patients with improved medical care services.
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.
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.
The human skeletal muscle drives skeletal movement through contraction. Embedding its functional information into the human morphological framework and constructing a digital twin of skeletal muscle for simulating physical and physiological functions of skeletal muscle are of great significance for the study of "virtual physiological humans". Based on relevant literature both domestically and internationally, this paper firstly summarizes the technical framework for constructing skeletal muscle digital twins, and then provides a review from five aspects including skeletal muscle digital twins modeling technology, skeletal muscle data collection technology, simulation analysis technology, simulation platform and human medical image database. On this basis, it is pointed out that further research is needed in areas such as skeletal muscle model generalization, accuracy improvement, and model coupling. The methods and means of constructing skeletal muscle digital twins summarized in the paper are expected to provide reference for researchers in this field, and the development direction pointed out can serve as the next focus of research.