The hospital information structure, which is made up of various medical business systems, is suffering from the problems of the "information isolated island". Medical business systems in the hospital are mutually isomerous and difficult to become a whole. How to realize the internal barrier-free interaction of the patients effective medical information in the hospital and further to complete the area sharing of patients longitudinal diagnosis and treatment information has become a question having to be solved urgently in the process of healthcare informatization. Based on the HL7 standard, this paper refers to the IHE technical framework, expounds the overall structure of the interaction in the hospital internal and area sharing of medical information with the medical information exchange platform. The paper also gives the details of the whole process of the complete display of the discrete patient health information using Portal technology, which is saved in the business systems in different hospitals. It interacts internally through the information exchange platform and at last stores the information in the regional cinical data repository (CDR).
With the establishment and development of regional healthcare big data platforms, regional healthcare big data is playing an increasingly important role in health policy program evaluations. Regional healthcare big data is usually structured hierarchically. Traditional statistical models have limitations in analyzing hierarchical data, and multilevel models are powerful statistical analysis tools for processing hierarchical data. This method has frequently been used by healthcare researchers overseas, however, it lacks application in China. This paper aimed to introduce the multilevel model and several common application scenarios in medicine policy evaluations. We expected to provide a methodological framework for medicine policy evaluation using regional healthcare big data or hierarchical data.
ObjectiveTo investigate the essential healthcare system performance in Xinjin county of Chengdu city from 2009 to 2010, so as to provide baseline data for further study. MethodsThe general information of the essential healthcare, such as the numbers of out and in-patients, service and profits were collected and then analyzed using the software of Microsoft Excel 2003 and SPSS 13.0. Resultsa) The results showed that the numbers of out and in-patients were in the rank of the county, township and community hospital. The numbers of out and emergency patients has been decreased 31.0% and 25.3% in the community hospital from 2009 to 2010, while patients in the county and township hospital has been increased. The numbers of in-patients has been increased by year; b) hospital bed occupancy has been increased by year, and the hospital bed occupancy of county hospitals was 8% lower than national level in 2009, 33.5% higher in 2010, the hospital bed occupancy of township hospitals from 2009 to 2010 was higher than national level, the ones of community hospital was lower than national level; c) there is an annual decreasing tendency for average days for hospitalization in county and community hospital, which were higher than national level; d) it was lower than national average rate; e) the inpatient fee per time was lower than national average rate; f) in the components of the in-patients expense, drug expense, operation expense and diagnose expense were constituted more than 86% in all eight costs; and g) the receipts and expenditure of Xinjin hospital throughout the year increased by years, the income and expenses showed 39.3% and 37.7%. ConclusionThe hospital bed occupancy, average hospitalization days and the inpatient fee per time in Xinjin county of Chengdu city during 2009-2010, were higher than national level. The overall health performance of hospitals in Xinjin county was satisfied. However, there was significant difference between the best and the worst. In order to distribute health resources, both benefit and efficient should be emphasized.
Objective To evaluate the current status of human resources in healthcare-associated infection prevention and control (infection control) in Jiangxi Province, and explore the impact of emergency public health events on the human resources of infection control professionals in various levels and types of medical institutions. Methods From October 1st to 31st, 2023, questionnaire and on-site interviews were conducted to investigate the human resources situation of infection control professionals in various levels and types of medical institutions in Jiangxi Province. Three stages were selected for the investigation: before the outbreak of COVID-19 (before the event, December 2019), during the event (June 2022), and after the transition of COVID-19 (after the event, June 2023), focusing on the characteristics of human resources between before the event and after the event by the comparative analysis. Results Finally, 289 medical institutions were included. There was a statistically significant difference in the number of infection control professionals in medical institutions among 2019, 2022, and 2023 (χ2=189.677, P<0.001). The number of infection control professionals in 2019 was lower than that in 2022 (P<0.001) and 2023 (P<0.001), but there was no statistically significant difference between 2022 and 2023 (P=0.242). The number of infection control professionals per thousand beds in 2019, 2022, and 2023 was 4.40, 6.16, and 5.76, respectively. There was no statistically significant difference between 2019 and 2023 in terms of professional titles, gender, educational level, or professional background (P>0.05). Conclusion Emergency public health events have promoted the increase in the number of infection control professionals, but there is no statistical significance in the professional titles, educational level, or professional background of infection control professionals.
ObjectiveTo investigate primary healthcare workers' knowledge, attitude and behaviour, and explore the way of guidelines' popularization, application and surveillance mechanism in primary healthcare institutions. MethodsHealthcare workers in seven township hospitals in Gaolan county, Gansu province were given a questionnaire to test their knowledge, attitudes and behaviour regarding Clinical practice guidelines. ResultsAmong the 143 distributed questionnaires, 143 valid were retrieved. The results showed that 80% of respondents knew the guidelines and 51% had used guidelines in treatment, 32% obtained guidelines mainly through distribution by affiliations. The most popular type of guidelines was self-developed by native departments. Respondents (37%) considered difficult availability of guidelines major barriers to popularization, 74% failed to receive training about guidelines, 88% looked forward to special organizations in charge of disseminating guidelines and conducting related training on how to apply guidelines. ConclusionPrimary healthcare workers report low awareness of, attention to and compliance with clinical practice guidelines. The greatest challenge for guidelines' popularization in township hospitals is difficult availability and it is of vital importance for primary institutions to enhance guidelines' implementation and strengthen learning and conduct training.
In recent years, the incidence of thyroid cancer has risen significantly, making it the third most common malignant tumor among women in China. With the rapid development of artificial intelligence technology, the diagnosis and treatment models of thyroid nodules are undergoing profound changes. By efficiently processing massive amounts of data, providing precise analysis and personalized suggestions, artificial intelligence has significantly promoted the integrated development of thyroid cancer in preoperative diagnosis, surgical navigation, surgical methods and postoperative management, thus facilitating the realization of “precision medicine and smart medicine” in thyroid surgery. This article focuses on the current development status of the “Internet+thyroid” model and looks forward to its future development.
Objective We conducted a questionnaire study who attended the First West China Forum on Chest Enhanced Recovery after Surgery (ERAS) in order to analyze whether it can improve the knowledge of ERAS and how to organize an effective meeting. Methods We analyzed 188 questionnaires from the representatives of the First West China Forum on Chest ERAS after the meeting which included two parts: one was the personal basic information and institution of respondents, and the other was the opinion of the content setting and suggestion for the next forum. Results A percentage of 97.7% of participants believed that this forum contributed to improving their understanding of ERAS and 65.3% of them will put the concept of ERAS into practice after the meeting. The exchange of experience and project communication of ERAS were the most useful agendas approved by representatives while expert lectures should be more appropriate (18.1%). Arrangement for topic discussion and enough time for discussion were supported by 93.1% and 98.9% of the representatives respectively. Multi-center project discussion (80.9%) and interactive sessions especially WeChat interaction (74.0%) should be added on ERAS forum. Conclusion Reasonable agenda settings are beneficial to improve the understanding and compliance of application of ERAS.
Objective To explore the impact of community healthcare workers’ (CHWs) knowledge, attitude and practice (KAP) on the influenza vaccination among elderly people. Methods By means of simple random sampling, 1 residential quarter of each communities, 2 communities of each districts, 5 districts of Chengdu city were randomly selected, and the elderly equal to or more than 60-year-old were on-site investigated. Meanwhile, the questionnaire survey was conducted among healthcare workers in the selected communities. Results There were 4 KAP factors played a positive role in influenza vaccination among elderly people: CHWs’ affirmation of the effectiveness of influenza vaccine, explicitly knowing the focus groups for influenza vaccination, recommendation of vaccination in flu season when the elderly visits, and participation in flu-related education activities. When the accuracy rate of each factor got improved by 1%, the influenza vaccination rate would improve by 2.747%, 1.299%, 0.864%, 0.602%, respectively. Conclusion The knowledge, attitude and practice of HCWs have impacts on the influenza vaccination rates of elderly people. They are significant to improve the influenza vaccination rates of the elderly.
Objective To explore the clinical effect of failure mode and effect analysis (FMEA) combined with PDCA cycle management model in the prevention and control of multidrug-resistant organisms (MDROs) in intensive care unit (ICU), and provide evidences for drawing up improvement measures in healthcare-associated MDRO infections in ICU. Methods In January 2020, a risk assessment team was established in the Department of Critical Care Medicine, the First People’s Hospital of Longquanyi District of Chengdu, to analyze the possible risk points of MDRO infections in ICU from then on. FMEA was used to assess risks, and the failure modes with high risk priority numbers were selected to evaluate the high-risk points of MDRO infections. The causes of the high-risk points were analyzed, and improvement measures were formulated to control the risks through PDCA cycle management model. The incidence of healthcare-associated MDRO infections in ICU, improvement of high-risk events, and satisfaction of doctors and nurses after the implementation of intervention measures (from January 2020 to June 2021) were retrospectively collected and compared with those before the implementation of intervention measures (from January 2018 to December 2019). Results Six high-risk factors were screened out, namely single measures of isolation, unqualified cleaning and disinfection of bed units, irrational use of antimicrobial agents, weak consciousness of isolation among newcomers of ICU, weak awareness of pathogen inspection, and untimely disinfection. The incidence of healthcare-associated MDRO infections was 2.71% (49/1800) before intervention and 1.71% (31/1808) after intervention, and the difference between the two periods was statistically significant (χ2=4.224, P=0.040). The pathogen submission rate was 56.67% (1020/1800) before intervention and 61.23% (1107/1808) after intervention, and the difference between the two periods was statistically significant (χ2=7.755, P=0.005). The satisfaction rate of doctors and nurses was 75.0% (30/40) before intervention and 95.0% (38/40) after intervention, and the difference between the two periods was statistically significant (χ2=6.275, P=0.012). Conclusions FMEA can effectively find out the weak points in the prevention and treatment of MDRO infections in ICU, while PDCA model can effectively formulate improvement measures for the weak points and control the risks. The combined application of the two modes provides a scientific and effective guarantee for the rational prevention and treatment of MDRO infections in ICU patients.
The shortage of medical resources promotes medical treatment reform, and smart healthcare is a promising strategy to solve this problem. With the development of Internet, real-time health status is expected to be monitored at home by using flexible healthcare systems, which puts forward new demands on flexible substrates for sensors. Currently, the flexible substrates are mainly traditional petroleum-based polymers, which are not renewable. As a natural polymer, cellulose, owing to its wide range of sources, convenient processing, biodegradability and so on, is an ideal alternative. In this review, the application progress of nanocellulose in flexible sensors is summarized. The structure and the modification methods of cellulose and nanocellulose are introduced at first, and then the application of nanocellulose flexible sensors in real-time medical monitoring is summarized. Finally, the advantages and future challenges of nanocellulose in the field of flexible sensors are discussed.