High-quality Medical Resources Research Articles

The geography of healthcare: Mapping patient flow and medical resource allocation in China

The misallocation of medical resources leads to interregional patient flow in search of better healthcare. Using out-of-pocket medical expenditure data and a delineating method, this paper identifies spatial clusters of medical services in China based on patient flow across cities. Our findings indicate that healthcare resources are more concentrated in northern China, while southern China is divided into several large healthcare clusters at the same threshold. The provincial capital and economically significant cities are more likely to serve as medical cluster centers. We further apply the gravity model to examine the effects of healthcare disparity on cross-city medical expenditure. The results reveal that geographic disparities in high-quality medical resources encourage remote healthcare-seeking behavior, and the shorter the distance between locations, the higher the level of medical consumption. Patients are inclined to seek medical services within their own province and within specific medical clusters identified through delineation methods. This effect is more pronounced among patients from non-central cities. This study highlights healthcare inequality by examining cross-regional medical expenditure, providing valuable insights for future healthcare policy.

Payment schemes for resource reallocation in hierarchical medical system: Fee-for-capacity versus performance payment

This study explores resource reallocation, or capacity sinking, in a hierarchical medical system that includes a healthcare funder, a comprehensive hospital, a community hospital, and patients with varying perceptions of different hospital levels. To help the funder better coordinate the process and induce a comprehensive hospital to willingly sink its high-quality medical resources to a community hospital, we design and evaluate two payment schemes: Fee-For-Capacity (FFC) scheme and Performance Payment (PP) scheme. In the FFC scheme, the funder pays a unit capacity sinking price to the comprehensive hospital. In the PP scheme, the sinking price is paid only if the community hospital increases the rate of patient visits. By considering different parties’ decision-making behaviors, we develop a sequential game model within a queuing framework to determine equilibrium results in terms of the patient arrival rate at each hospital, the community hospital’s capacity planning, the comprehensive hospital’s capacity sinking rate, and the funder’s capacity sinking price. Our study indicates that the FFC scheme outperforms the PP scheme in terms of social welfare, patient utility, and waiting time when the budget is low or the funder’s concern about patient utility is relatively high or low. However, both schemes are suboptimal when the budget and the funder’s concern degree are medium. We find that a hybrid payment scheme can alleviate the drawbacks of FFC and PP and help achieve system optimum.

Strategic Queueing Behavior of Two Groups of Patients in a Healthcare System

Long waiting times and crowded services are the current medical situation in China. Especially in hierarchic healthcare systems, as high-quality medical resources are mainly concentrated in comprehensive hospitals, patients are too concentrated in these hospitals, which leads to overcrowding. This paper constructs a game-theoretical queueing model to analyze the strategic queueing behavior of patients. In such hospitals, patients are divided into first-visit and referred patients, and the hospitals provide patients with two service phases of “diagnosis” and “treatment”. We first obtain the expected sojourn time. By defining the patience level of patients, the queueing behavior of patients in equilibrium is studied. The results suggest that as long as the patients with low patience levels join the queue, the patients with high patience levels also join the queue. As more patients arrive at the hospitals, the queueing behavior of patients with high patience levels may have a negative effect on that of patients with low patience levels. The numerical results also show that the equilibrium behavior deviates from a socially optimal solution; therefore, to reach maximal social welfare, the social planner should adopt some regulatory policies to control the arrival rates of patients.

The evolutionary game of establishing a remote consultation system based on the downward allocation of medical resources in a medical alliance.

As a crucial component of hierarchical diagnosis and treatment systems, medical alliances in China are responsible for promoting the downward allocation of high-quality medical resources. Remote consultation, as an essential means to achieve this goal, is of practical importance in the realization of resource sharing between hospitals within medical alliances in China. The existing research on the construction of remote consultations within medical alliances has achieved fruitful results in both theory and practice. However, the establishment of remote consultation involves many factors, and the current research mainly focuses on the influence of traditional economic profit and loss on the construction of remote consultation. In view of the practical problems existing in the operation of medical and health services in China, such as the need to improve the capacity of primary medical and health services and the poor sinking effect of high-quality medical resources, it is of great importance to systematically study the promotion strategy of the construction of remote consultation within the medical alliance to build a reasonable order of medical treatment. Therefore, by determining the logical path formed by the remote consultation channel and on the basis of traditional profit and loss parameters, this paper fully considers the relevant influence of the resource sinking utility caused by the remote consultation channel. The stability of the evolutionary system is analyzed, and a numerical simulation is used to explore the impact of key parameters on system evolution. The research results indicate that the establishment of a remote consultation system between hospitals at different levels is primarily influenced by factors such as the initial proportion of the establishment strategy chosen by both parties, the establishment cost, the distribution proportion of the government subsidy, the distribution proportion of the economic benefit, and the effectiveness proportion in the utility derived from the downward allocation of resources and reputational damage. The findings suggest that moderate to high levels of reputation loss do not significantly influence the final decision-making process for either party. Government subsidies can have an impact on hospital decision-making in the early stages, and in the long term, the resource sinking utility is more appealing than the economic benefits. To a certain extent, this study enriches the related research on remote consultation and the sinking of high-quality medical resources, provides reliable theoretical and method support for the sinking of high-quality medical resources, promotes the construction of remote consultation in medical alliances in China, and provides a decision-making reference and basis for the government and health administrative departments to formulate relevant policies.

Analysis of Hospital Readiness to Face the 'Smart Hospital' Era

Introduction : Smart hospital is an emerging and fast-developing innovation in the context of a rapid increase of internet users, an increasing demand for high-quality medical resources, and an aging population worldwide. It generally involves the use of the optimized and automated processes built on an information and communications technology (ICT) environment, especially based on the Internet of things (IoT), to offer assessment, consultation, direct treatment, services, and integrated care. This innovation has the potential and has already gained initial evidence to improve healthcare access, efficiency, or even effectiveness. Yet, along with these positive impacts and promises, a number of issues and challenges also appear.Methods: Study This is study quantitative with design survey research. Study This done on the month of June 2023. Instruments used in study This use questionnaire with the HOT-Fit method consisting of the 47 questions divided in 6 groups question namely: Human, Organization, Technology, Knowledge Users Regulations and Benefits. Subject for this study is hospital managers, administration staff and health workers. Data analysis using analysis multivariate .Result: 22 hospital state that digitization service health to a very smart hospital important one of them is applied For increase quality service House hurts and improves satisfaction patient. In application of smart hospital Sick need integrate between technology, service and regulation.Conclusion : Smart hospitals can influence health and medical policies and create new medical values by defining and quantitatively measuring detailed indicators based on data collected from existing hospitals. Simultaneously, appropriate government incentives, consolidated interdisciplinary research, and active participation by industry are required to foster and facilitate smart hospitals. Keywords: ,

​​THE RESEARCH ON INTERNATIONALISATION OF MEDICAL UNIVERSITIES IN GUANGDONG PROVINCE ​

In the context of economic globalization, international exchanges and cooperation have become the fifth major mission of universities after "talent training, scientific research, social services, cultural inheritance and innovation".(Zhang Haiying, etc. 2021). The fundamental purpose of medical education is to provide high-quality medical and health resources for the society, and medical services are related to everyone's life and health. Especially since 2020, the global outbreak and spread of COVID-19 has had a profound impact on the life and production of all mankind, as well as the global economy, science and technology, education and health, and has also brought people a sense of alarm and reflection.(Yang Yaofang, 2021). Therefore, the internationalisation of medical education has also attracted more and more attention worldwide. (Zhang Haiying, etc. 2021) Guangdong Province, as the most economically developed area in China, how to improve the internationalisation level of medical universities in this province has important theoretical and practical significance. The researcher of this paper adopted "Internationalisation Evaluation Index System of Medical Universities in Guangdong Province"(Song Xuejie, 2022) as research tool and took three medical universities in Guangdong Province as research samples, and collected the relevant index data from each university. Through the establishment of Internationalisation Comprehensive Evaluation Model of Medical Universities in Guangdong Province based on the ideal evaluation criteria, focusing on the nine theme modules of the index system, including "development strategy, organization and management, faculty and staff, students, teaching, scientific research, international exchanges and cooperation, affiliated hospitals as well as services and guarantee", the overall situation of the internationalisation development of these three universities was analyzed, and the advantages and disadvantages were put forward, in order to provide strategies and directions for the sustainable development of the internationalisation of medical universities in Guangdong province in the post-epidemic era.

Analysis of the current status and influencing factors of cross-regional hospitalization services utilization by basic medical insurance participants in China - taking a central province as an example.

The geographically uneven distribution of healthcare resources has resulted in a dramatic increase of cross-regional hospitalization services in China. The over-use of cross-regional hospitalization services may hinder the utilization and improvement of local hospitalization services. It is of great practical significance to study the utilization of cross-regional hospitalization services and its influencing factors in order to effectively allocate medical resources and guide patients to seek medical treatment rationally. Therefore, this study aims to analyze the current situation and influencing factors of the utilization of cross-regional hospitalization services by patients insured by basic medical insurance in China. A total of 3,291 cross-provincial inpatients were randomly selected in a central province of China in 2020. The level of medical institutions, hospitalization expenses and actual reimbursement rate were selected as indicators of hospitalization service utilization. Exploratory factor analysis was used to assess the dimensionality of influencing factors and reduce the number of variables, and binomial logistic regression analysis and multiple linear regression analysis to explore the influencing factors of the utilization of cross-regional hospitalization services. The proportion of cross-provincial inpatients choosing tertiary hospitals was the highest with average hospitalization expenses of 24,662 yuan and an actual reimbursement rate of 51.0% on average. Patients insured by Urban Employees' Basic Medical Insurance (UEBMI) were more frequently (92.9% vs. 88.5%) to choose tertiary hospitals than those insured by Urban and Rural Residents' Basic Medical Insurance (URRBMI), and their average hospitalization expenses (30,727 yuan) and actual reimbursement rate (68.2%) were relatively higher (p < 0.001). The factor "income and security," "convenience of medical treatment" and "disease severity" had significant effects on inpatients' selection of medical institution level, hospitalization expenses and actual reimbursement rate, while the factor "demographic characteristics" only had significant effects on hospitalization expenses and actual reimbursement rate. Cross-provincial inpatients choose tertiary hospitals more frequently, and their financial burdens of medical treatment are heavy. A variety of factors jointly affect the utilization of cross-provincial hospitalization services for insured patients. It is necessary to narrow down the gap of medical treatment between UEBMI and URRBMI patients, and make full use of high-quality medical resources across regions.

Computer-Aided Autism Spectrum Disorder Diagnosis With Behavior Signal Processing

Behavioral observation plays an essential role in the diagnosis of Autism Spectrum Disorder (ASD) by analyzing children’s atypical patterns in social activities (e.g., impaired social interaction, restricted interests, and repetitive behavior). To date, this process still heavily relies on the questionnaire survey, clinical observation, or retrospective video analysis, leading to high demand for professionals with massive labor costs. This paper proposes a standardized platform for stimulating, gathering, analyzing, modeling, and interpreting human behavioral data in the application of computer-aided ASD diagnosis. By a structured assessment process, the proposed system can automatically evaluate children’s multiple social interaction skills using the captured audio-visual data and provide the final diagnostic suggestions. We collect a multimodal behavioral database of 95 participants (71 children with ASD and 24 age-matched typical controls) in a real clinic environment, the Third Affiliated Hospital of Sun Yat-sen University, China. On the clinical database, our proposed computer-aided ASD diagnosis system obtains an accuracy of 88.42% for identifying ASD children with an average age of 24 months, representing a performance comparable to top-level human experts. As a unified and replicable solution, it has good potential to be promoted to less developed areas with limited high-quality medical resources.

Data-driven approaches to sustainable referral system design integrating the offline channel and the online channel

The Chinese healthcare referral system is a hierarchical system that includes medical institutions at different levels to ensure high-quality medical resources available and accessible to patients in need. In this research, we formulate a mixed-integer nonlinear programming model to minimize the total cost of patients, including their transportation cost, treatment cost and purchase of home-care services in a novel two-way referral system incorporating telemedicine and home-care services. To deal with the uncertain requests in teleconsultation, an adaptive robust optimization method is applied to reformulate the chance constraint into a linear form. Moreover, the uncertainty set under the measurement of Kullback–Leibler divergence is introduced to use the information and tractably approximate the chance constraint. We have used real-world data to conduct numerical experiments to determine the sensitivity of the results concerning the changes in the parameters such as the government subsidy, the maximum service capacity and the cure rate of diseases in the telemedicine center. We also prove that our optimal strategy of patient allocation in the novel referral system with the current strategy achieves environmental and social sustainability by reducing travel to healthcare facilities(less GHG emissions) and less crowdedness in the comprehensive hospitals compared to the current strategy in the traditional system. Finally, managerial insights are provided to achieve better performance in the healthcare referral system.

An Intelligent Whole-Process Medical System Based on Cloud Platform

ABSTRACT In response to the shortage of high-quality medical resources, long waiting times, and difficulties finding the right doctor, a smart medical system design scheme is proposed. This system is built on a cloud platform to increase capacity and improve operating speed. It offers intelligent triage, disease diagnosis, intelligent question-and-answer, online doctor diagnosis, online registration, patient-patient communication, doctor-patient communication, online payment, map navigation, and other functions. By using machine learning and deep learning methods, the system analyzes the patient’s disease description, laboratory test sheets, and other medical image materials to diagnose the disease suffered by the patient. The matching degree of the doctor and the patient is calculated based on the doctor’s expertise, patient evaluation, and doctor satisfaction, and doctors are arranged for patients to choose. The system also integrates the diagnosis results made by multiple doctors to help patients understand their illnesses conveniently. Additionally, an intelligent question-and-answer module analyzes the patient’s inquiry intention and gives feedback to the patient’s question. The system’s feasibility and practicability have been demonstrated by experts in the fields of medical treatment, computer, and economic management. Overall, this system has high application value and can effectively solve the problems that exist in the current medical field.

Temporal-Spatial Evolution and Trend Prediction of the Supply Efficiency of Primary Medical Health Service-An Empirical Study Based on Central and Western Regions of China.

China has established a comprehensive primary medical health service system, but the development of primary medical health services in the central and western regions is still unbalanced and insufficient. Based on data from 2010 to 2019, this paper constructs a super efficiency Slack-Based Measure model to calculate the supply efficiency of primary medical health services in 20 provinces and cities in central and western China. Using Kernel density estimation and Markov chain analysis, this paper further analyzes the spatial-temporal evolution of the supply efficiency of primary medical health services in central and western China, and also predicts the future development distribution through the limiting distribution of Markov chain to provide a theoretical basis for promoting the sinking of high-quality medical resources to the primary level. The results show that firstly, during the observation period, the center of the Kernel density curve moves to the left, and the main peak value decreases continuously. The main diagonal elements of the traditional Markov transition probability matrix are 0.7872, 0.5172, 0.8353, and 0.7368 respectively, which are significantly larger than other elements. Secondly, when adjacent to low state and high state, it will develop into convergence distributions of 0.7251 and 0.8243. The supply efficiency of primary medical health services in central and western China has the characteristics of high (Ningxia) and low (Shaanxi) aggregation respectively, but the aggregation trend is weakened. Thirdly, the supply efficiency of health services has the stability of keeping its own state unchanged, but the transition of state can still occur. The long-term development of the current trend cannot break the distribution characteristics of the high and low clusters, the efficiency will show a downward trend in the next 10-20 years, and still the problem of uneven long-term development emerges.

Regional disparities and influencing factors of high quality medical resources distribution in China

BackgroundWith the gradual increase of residents’ income and the continuous improvement of medical security system, people’s demand for pursuing higher quality and better medical and health services has been released. However, so far little research has been published on China's high quality medical resources (HQMR). This study aims to understand the spatiotemporal variation trend of HQMR from 2006 to 2020, analyze regional disparity of HQMR in 2020, and further explore the main factors influencing the distribution of HQMR in China.MethodsThe study selected Class III level A hospitals (the highest level medical institutions in China) to represent HQMR. Descriptive statistical methods were used to address the changes in the distribution of HQMR from 2006 to 2020. Lorentz curve, Gini coefficient (G), Theil index (T) and High-quality health resource density index (HHRDI) were used to calculate the degree of inequity. The geographical detector method was used to reveal the key factors influencing the distribution of HQMR.ResultsThe total amount of HQMR in China had increased year by year, from 647 Class III level A hospitals in 2006 to 1580 in 2020. In 2020, G for HQMR by population was 0.166, while by geographic area was 0.614. T was consistent with the results for G, and intra-regional contribution rates were higher than inter-regional contribution rates. HHRDI showed that Beijing, Shanghai, and Tianjin had the highest allocated amounts of HQMR. The results of the geographical detector showed that total health costs, government health expenditure, size of resident populations, GDP, number of medical colleges had a significant impact on the spatial distribution of HQMR and the q values were 0.813, 0.781, 0.719, 0.661, 0.492 respectively. There was an interaction between the influencing factors.ConclusionsChina's total HQMR is growing rapidly but is relatively inadequate. The distribution of HQMR by population is better than by geography, and the distribution by geography is less equitable. Population size and geographical area both need to be taken into account when formulating policies, rather than simply increasing the number of HQMR.

Whether the Distribution of Medical Resources among Provinces is Balanced

Objective: To explore the distribution and difference of medical resources among 31 provinces (municipalities) in China. Methods and process: According to the health resource indicators of 31 provinces in China Health Statistical Yearbook and China Statistical Yearbook, we described and analyzed the total amount of medical and health resources, per capita medical and health resources and high-quality medical resources. By using cluster analysis and RSR (Rank-sum ratio) comprehensive evaluation method, the difference of medical resources among 31 provinces in China in 2020 was calculated, and the medical resources of each province were classified, compared and analyzed to describe the difference. Results and conclusions: (1) From the perspective of total medical resources, the total medical resources in the western region are far less than those in the eastern region, showing a situation of "more in the east and less in the west". Provinces with large populations have large medical resources. Developed cities such as Beijing and Shanghai have great advantages in medical and health financial resources, while provinces in remote areas are extremely backward in human, material and financial resources.(2)Unbalanced distribution of high-quality medical resources: tertiary hospitals are mainly concentrated in eastern and central China. The number and scale of tertiary hospitals in western China are obviously backward. China's top 100 hospitals are mainly distributed in the first tier and economically developed cities. Beijing, Shanghai and Guangzhou accounted for half of the top 100 hospitals. Nearly half of China's provinces have no hospitals on the "Top 100" list. (3) Per capita medical resources vary greatly. The per capita level of medical resources in the three northeastern provinces (Inner Mongolia, Qinghai, Sichuan, Beijing and Shanghai) is relatively high. The per capita level of medical resources in Anhui, Jiangxi, Guangdong, Ningxia and other provinces is low.

The application of robotic surgery in gynecology in the age of artificial intelligence

In the field of gynecology, the selection of surgical approach should be carefully considered based on individual patient characteristics. The development of minimally invasive surgery has greatly impacted gynecological surgeries, and the number of robotic surgeries has been increasing yearly. Robotic surgery offers many benefits. The use of robotic surgery techniques in the multidisciplinary teamwork (MDT) surgery can make surgical operations more convenient, and has resulted in many successful cases, such as in advanced ovarian cancer and deep infiltrating endometriosis surgeries. Single-port robotic surgery has its operational limitations but shows potential for development. The use of remote robotic surgery is being explored. The support of national policies in China has contributed to the development of domestically produced surgical robots. The future of surgical robots lies in technological advancements, market dominance, and the integration of intelligence and miniaturization. Our goal is to disseminate high-quality medical resources and provide services to a larger number of patients.

The Impact of County Medical Community Reform on the Medical Service Efficiency of County-Level Public General Hospitals in China: A Case Study of Shanxi Province.

China introduced the county medical community (CMC) reform, aimed to provide high-quality medical resources to rural citizens, in 2017. This study examines the impact of the reform on the medical service efficiency of county-level public general hospitals in Shanxi Province, China. In total, 92 county-level public general hospitals from Shanxi Province were taken as the research objective, and the super-efficiency SBM-DEA model was applied to measure medical service efficiency. Further, a two-way fixed-effect model was used to evaluate the impact of CMC reform on the medical service efficiency of county-level public general hospitals by using health statistics data from 2014 to 2018. The study reveals that the CMC reform improved the medical service efficiency of county-level public general hospitals by 15.6%. Moreover, the CMC reform had regional heterogeneity in its impact on the medical service efficiency of county-level public general hospitals. The CMC reform improved the medical service efficiency of hospitals in the southern region more than in the northern region of the province. The medical service efficiency of hospitals in the central region was also improved by CMC reform, but the causal relationship was not found significant. Further, hospital-level factors (e.g., fixed assets, hospital stay, and regional health center) and environmental factors (e.g., GDP, population, urbanization rate, and government subsidies) affected the medical service efficiency of county-level public hospitals during the process of promoting the CMC reform.

Attitudes and perspectives of 534 Chinese pediatricians toward internet hospitals.

BackgroundInternet hospitals introduced in China have effectively reduced service time and space, promoted high-quality pediatric medical resources to grassroots areas, solved the contradiction between supply and demand of pediatric medical resources, and met patients’ increasing multi-level and diversified medical service needs. However, pediatricians’ attitudes toward and satisfaction with the use of internet hospitals remain unknown.ObjectiveThis study aimed to investigate pediatricians’ knowledge of, use of, and satisfaction with internet hospitals in order to identify major issues in internet hospital development, and to understand pediatricians’ attitudes and opinions on the construction, development, and use of internet hospitals.Materials and methodsA total of 625 pediatricians in 17 public tertiary hospitals in Shanghai were surveyed from November 1–30, 2021. Five hundred and thirty four pediatricians completed the survey, and the response rate was 85.44%. Pediatricians’ baseline demographic data were collected and information about their use of and satisfaction with internet hospitals.ResultsAbout 70.22% (375/534) of pediatricians knew about internet hospitals and about 54.68% (292/534) use internet hospitals for patient consultation, diagnosis, and treatment. Utilized services mainly focused on online consultation (271/292, 92.81%), online follow-up consultation (174/292, 59.59%), and health sciences (111/292, 38.01%). Online services were provided by 69.18% (202/292) of pediatricians for less than 1 h a day, and 75.00% (219/292) responded to fewer than five patient consultations online every day. Pediatricians’ overall satisfaction with internet hospitals was low (3.59 ± 0.92 points), user experience, systems functions, operation processes, service prices, and performance rewards of internet hospitals were main influencing factors. Pediatricians are enthusiastic about further development of internet hospitals, with 87.83% (469/534) willing to provide services on the internet hospital platform.ConclusionMost pediatricians view internet hospitals favorably and are eager to contribute to the development of online diagnosis and treatment services. The development of internet hospitals will be more strongly supported by improving pediatricians’ satisfaction and mobilizing their enthusiasm and initiative to participate in internet medical services.

Ensure the development of health care service with high-quality medical resources

Ensure the development of health care service with high-quality medical resources

Levels, trends, and determinants of effectiveness on the hierarchical medical system in China: Data envelopment analysis and bootstrapping truncated regression analysis.

BackgroundThe hierarchical medical system (HMS) refers to the classification of treatment according to disease priorities based on severity and difficulty to promote the fairness of medical services for residents, which is regarded as the key to the success of medical reform in China.MethodsIn the past decade of “New Medical Reform,” the efficiency of HMS, including secondary and tertiary hospitals and primary healthcare centers (PHCs), was measured horizontally and vertically by employing the combination of an output-oriented superefficiency slack-based model-data envelopment analysis (SE-SBM-DEA) model with the Malmquist total factor productivity index (MTFP). In the second stage, the overall technical efficiency (OTE) scores were regressed against a set of environmental characteristics and several managerial factors through bootstrapping truncated regression.ResultsOn average, the OTE score in tertiary hospitals was 0.93, which was higher than that in secondary hospitals and PHCs (0.9 and 0.92, respectively). In terms of trend, the OTE of tertiary hospitals declined at first and then increased. The opposite was true of secondary hospitals, in which the APC of the OTE was 10.82 and −3.11% in early and late 2012, respectively. The PHCs generally showed a fluctuating downward trend. In the aspects of productivity, all institutions showed a downturn by an annual average rate of 2.73, 0.51, and 2.70%, respectively. There was a significant negative relationship between the ratio of outpatients to inpatients and tertiary hospitals. Additionally, the medical technical personnel per 1,000 population negatively affected PHCs. In contrast, the GDP per capita had a significantly positive effect on tertiary hospitals, and the number of beds per 1,000 population positively influenced PHCs.ConclusionThe efficiency of medical institutions at various levels in HMS was unbalanced and took the form of an “inverted pyramid.” Multilateral factors influence the efficiency of HMS, and to address it, multi-intervention packages focusing on sinking high-quality medical resources and improving healthcare capacity, and guiding hierarchical medical practice should be adopted.

Study on the Relationships between Doctor Characteristics and Online Consultation Volume in the Online Medical Community.

Background. As a new medical service model, the online health community can integrate various medical resources to the maximum extent and improve the accessibility and utilization rate of hospital high-quality medical resources. Objective. Research based on the characteristics of doctors can enable doctors to display themselves on the network platform better, provide better services for patients, and improve the quality of medical services for doctors. Method. By crawling the characteristic data of doctors in Good Doctor Online, using dynamic analysis, correlation analysis and regression analysis, this study explores the relationships between each characteristic data and online consultation volume. Results. The doctor’s title and city level representing the static characteristics of the doctor have a weak impact on the doctor’s online consultation volume, and the doctor’s dynamic characteristics such as the number of patient completions, the number of gifts received, and the number of published articles can have a positive impact on the doctor’s online consultation volume. However, the recommended heat will negatively affect the online consultation volume, and the comment text has no significant impact on the doctor’s online consultation volume. Conclusion. Therefore, doctors should actively publicize and show their professional level and constantly optimize their dynamic characteristics, increasing the number of online consultations and thus improving their influence.

Preliminary exploration of theory and practice training of 5G ultrasonic remote consultation in grassroot hospitals

BackgroundWith the rapid development of science and technology, telemedicine diagnosis and treatment systems have gradually attracted increased attention and applications.5G ultrasound is an important branch of telemedicine, connecting grassroots hospitals at one end and provincal hospitals at the other, which provides remote guidance to grassroots doctors for ultrasound examination and image diagnosis. It is convenient for villagers obtaining diagnosis and advice from provincial ultrasound experts, saving time and economic costs, as well as benefiting from high-quality ultrasound medical resources. In this study, taishun County community grassroot hospitals were selected as the pilot study of 5G ultrasound application, to explore the effectiveness of their theory and practice, and gradually improve the remote ultrasound diagnosis and treatment standards, so as to improve their quality of grassroots hospitals and benefit grassroots people. MethodsThis is a descriptive study. The Provincal Hospital will conduct ultrasonic theory and practice training for grassroot hospitals. The training subjects included 43 doctors in grassroots hospitals who were willing to carry out ultrasound examinations. Theories, skills training scores and trainees' questionnaires on teaching content were collected and analyzed. After passing theoretical and practical training, they will conduct ultrasound examinations in their respective communities and collect relevant cases. There are 148 cases thus far for analysis. It mainly included the type of disease, whether the patient was out-patient or inpatient, frequency of ultrasound visits in recent 5 years, and follow-up treatment measures.ResultsIt mainly included three aspects: (1) Through theoretical and practical training, the ultrasonic diagnosis level of grassroot doctors was significantly improved. The difference in scores between the two practical trainings was statistically significant. (2) Forty-three questionnaires were sent out, feedback from trainees was very high. Most of them was very satisfied with our training. The total score of the questionnaire was 10, and 97.67% of them score more than 8. (3) In total, there were 148 remote consultation cases, including 67 males and 81 females, who were aged 21 to 101 years old (62.40 ± 15.73).mainly abdominal ultrasound, and typical cases involve fatty liver, hepatic cyst, gallbladder stone, kidney stone and so on. We analyzed case data and provided follow-up treatment recommendations.ConclusionAs a “visual apparatus”, 5G ultrasound can be routinely carried out in grassroot hospitals, which can provide mutual benefit between doctors and patients and comprehensively promote healthy villages.