Strengthening the construction of platforms,talents,and disciplines is a crucial strategy to enhance the core competitiveness and promote the high-quality development of national regional medical centers.It outlines the theoretical framework and implementation path for building the"Platform-Talent(Team)-Discipline"develop-ment system during the establishment of the National Regional Medical Center at Henan Children's Hospital Zheng-zhou Children's Hospital.By creating a collaborative innovation platform integrating medical services,education,and research,implementing talent development programs,optimizing mechanisms for talent recruitment,cultivation,and retention,and advancing discipline development projects,the center has achieved significant progress in its core competencies.This exploration provides valuable insights and references for the development of national regional medical centers and the high-quality growth of public hospitals.

China's public hospitals have basically established a smart hospital construction framework of the"trinity"of smart medical care,smart service and smart management,and have achieved a series of results.However,in the process of construction,there are still obstacles such as"information islands",insufficient capital and technology investment,and difficulty in coordination between various systems.The construction of smart hospitals needs to build solutions from the three dimensions of system,resources and technology to promote the improvement of the refined and intelligent level of hospital management and promote the high-quality development of public hospitals.

Objective It aims to develop a digital maturity evaluation framework tailored for public hospitals in China to advance digital transformation and achieve high-quality development.Methods Through literature review,policy analysis,key informant interviews,and expert consultations,a preliminary conceptual framework for digital maturity in public hospitals was proposed.The framework's dimensions and key indicators were further refined and finalized through multiple rounds of consultation and validation with 30 experts.Results The findings indicate that the digital ma-turity of public hospitals in China encompasses three core dimensions:digital readiness,digital technology applica-tion,and data management capacity,along with 11 primary indicators.The evaluation framework has gained broad recognition from experts and scholars,demonstrating its effectiveness in identifying gaps in the digitalization process and enhancing hospitals'capacities in infrastructure,technological application,and data governance.Conclusion The study recommends that government authorities optimize resource allocation based on the framework,while public hospitals should strengthen digital planning and implementation.This framework provides practical guidance for ad-vancing the digital transformation of public hospitals in China.

Objective It aims to understand the current situation of digital development of tertiary public hospitals in Shanghai,and provide reference for further promoting the digital transformation and development of public hospitals in China.Methods By convenient sampling method,15 tertiary public hospitals in Shanghai were selected to conduct a cross-sectional survey from August to October 2024,including the basic situation of hospitals and the digital trans-formation and development of hospitals.Results The survey showed that in terms of staffing,The sample hospitals have outstanding performance in the assessment and rating related to digital transformation.The difference in the number of digitization staff between different hospital sizes was statistically significant(P＜0.05).In terms of finan-cial support,the median digitization-related budget in 2023 was 1.61％of the total budget;in terms of teaching and researching,the proportion of hospitals applying digital technology to support teaching and researching was greater than 80％,and there was statistical significance in the number of specialized disease databases in dif-ferent scale hospitals(P＜0.05);in terms of technology application,Artificial Intelligence technology is mainly ap-plied to medical services,hospital management,and hospital research among the 15 hospitals,while the applica-tion of blockchain and meta-universe technology is still relatively limited.Conclusion Tertiary public hospitals in Shang-hai have made certain progress in digital transformation,but they still need to further optimize resource allocation,further tap the application potential of digital technology,strengthen capital attention and investment,and increase the introduction and training of digital talents,so as to improve the overall level of digital development of hospitals.

Objective To explore the relationship between the digital transformation of public hospitals and hospital quality and safety management,providing evidence for hospital digital transformation development and policy formulation.Methods Hospital management data from Shanghai municipal hospitals were collected,and a questionnaire was used to assess the current state of digital transformation.A panel regression of time-fixed effects analysis was performed to examine the correlation between various digital transformation variables and quality and safety performance in 8 Shanghai municipal hospitals from January 2023 to May 2024.Results Hospital digital system construction,digital service level,digital investment and digital research are significantly positively correlated with patient safety and service efficiency,and negatively correlated with the incidence of negative safety events in readmissions,venous thromboembolism and unplanned reoperation.The level of digital services was associated with a reduction in average length of stay.Increased digital investment was associated with not only decreased proportion of medication costs,but also an increase in the proportion of consumable costs,other categories of expenditures,and finally average costs.Conclusion While digital transformation improves hospital quality and safety,it also leads to an increased disease burden for patients.Therefore,further evidence is needed to analyze the cost-effectiveness of different digital transformation pathways.

Objective To describe the evolution of multidimensional health poverty among Chinese residents over a decade and to depict the characteristics of vulnerable groups.Methods We collected data from 76 999 households in the China Family Panel Studies across six periods from 2010 to 2020.Using tools developed by the research team,it measured the multidimensional health poverty index and decomposed its contributing factors.A comprehensive multi-level analysis was conducted based on household head,family,and regional characteristics.Results From 2010 to 2020,the multidimensional health poverty index and incidence significantly decreased from 0.338 and 68.5％to 0.163 and 37.9％respectively.The contribution of the health rights dimension initially decreased and then increased,the health capability dimension's contribution decreased from 0.256 to 0.158,and the health risk dimension's contribution steadily increased from 0.375 to 0.500.If the head of the household is male,older,less educated,has chronic disease comorbidities,participates in the new rural cooperative medical system,and the household income is low and lives in rural areas and western regions,the multidimensional health poverty index of the household is higher.Conclusion From 2010 to 2020,the multidimensional health poverty index and incidence rate of Chinese families decreased,in which health risk gradually became the dominant factor,and the distribution of health poverty index showed distinct demographic,household and regional characteristics.

Objective Taking cerebral ischemic disease as an example,it explores the use of doctors'actual diagnosis and treatment items under DRG payment,and analyzes the matching degree between actual diagnosis and treatment items and clinical pathways.Methods Based on the actual diagnosis and treatment items for patients with cerebral ischemic diseases,it sorted out their usage and cost proportion,built a diagnosis and treatment item pool,determined the basic diagnosis and treatment items based on expert consultation,and compared and matched them with clinical pathways.Results Among all the diagnosis and treatment items of cerebral ischemic diseases,only 21.27％had a utilization rate of more than 10％,but the cost accounted for 82.96％.42 diagnosis and treatment items were screened as basic diagnosis and treatment items.The degree of matching between laboratory inspection items and clinical pathways was high,but there were certain differences in drug treatment.Conclusion There are certain differences between actual diagnosis and treatment items and clinical pathways of cerebral ischemic diseases,and there are a large number of low-utilization items,some high-utilization items are not basic diagnosis and treatment items,and most of them are concentrated in laboratory inspection items.It is recommended to enhance the attention of clinical pathway under DRG payment and update and optimize it regularly,improve doctors'awareness of diagnosis and treatment based on clinical pathways,and improve the supervision and assessment mechanism of doctors'diagnosis and treatment behaviors,regularly update and optimize clinical pathways to improve their operability.

Objective To analyze the satisfaction of medical experience of outpatients in multi-campus of a large tertiary public hospital.Methods From January to March 2024,a questionnaire on outpatient satisfaction was sent to the outpatient department of Peking University First Hospital daily based on the Questionnaire Star platform to analyze the outpatient satisfaction rate and satisfaction score of medical services,and the influencing factors of outpatient satisfaction were explored by logistic regression analysis.Results Among the respondents,64.0％expressed high levels of satisfaction while 26.1％reported being relatively satisfied.Waiting time and consultation time play an important role.The diagnosis,treatment and health education and schedule of follow-up visits may affect the outpatient experience.Outpatient payment,outpatient environment,outpatient perceived complaints and timely resolution of dissatisfaction all could affect outpatient satisfaction.Conclusion The overall satisfaction of outpatients was high,and patient satisfaction of outpatient medical services in multi-campuses was consistent.On the premise of ensuring the quality of medical care,hospitals should actively carry out individualized health education,simplify the medical process,extend the outpatient service,and further improved the sense of gain of outpatients.

Objective To analyze the characteristics of weekend surgery,and explore to shorten the preoperative hospital stay and average hospital stay of patients.Method Extract actual data on the number of discharged surgical patients and length of hospital stay,and use the Questionnaire Star to investigate the recognition of weekend surgeries by medical staff.Using chi square test and independent sample rank sum test,compare the differences in patients and surgical characteristics between weekend surgery and non weekend surgery,and analyze the influencing factors of surgical physicians using binary logistic regression model.Result The median length of hospital stay(3.0 days)and preoperative hospital stay(0.5 days)was lower than that of non weekend surgery patients(5.0,1.5 days);The proportion of fourth grade surgeries on weekends(28.9％)was lower than that of non weekend surgeries(37.0％);The consultation rate(10.74％)was lower than that of non weekend surgeries(17.0％);The proportion of daytime pilot surgeries(30.7％)was higher than that of non weekend surgeries(20.4％).The factors with the highest recognition among medical staff for conducting weekend surgeries were:improving patient satisfaction(84.7％)and reducing preoperative waiting risks(84.4％).The lowest factors were family support(45.5％)and multi departmental assistance and cooperation(58.8％).Conclusion Weekend surgery effectively shortens the average preoperative and average hospitalization days.Move the hospitalization consultation required for comorbidities management and preoperative examinations to the outpatient department.Mobilize the coordination and supporting resources of various departments within the hospital,and organically integrate various surgical methods such as weekend surgery and day surgery to improve the efficiency of medical operation.

Objective To explore the Diagnosis-Intervention Packet(DIP)group scheme and expense standards of patients with severe respiratory failure,so as to provide decision-making basis for optimizing the group of inten-sive diseases and improving the level of fine management of hospitals.Methods The homepage data of medical re-cords of 299 severe patients mainly diagnosed with respiratory failure from January to September in 2023 from a Grade A general hospital in Yangzhou City was collected,and the influencing factors of total hospitalization expenses were analyzed by single factor analysis and multiple linear regression.The exhaustive chi-square automatic interac-tion detector algorithm for decision tree model was used to establish the case-mix scheme of respiratory failure cases and calculate the expenses of each group.Results Hospitalization day,main surgery/operation,method of leaving hos-pital,and patient outcomes are important classification variables affecting the total inpatient expense of severe respi-ratory failure patients,finally formed 8 DIP groups and corresponding expense standards,with strong inter-group ho-mogeneity and great inter-group heterogeneity.Conclusion The optimizing group scheme of patients with severe re-spiratory failure based on decision tree model is consistent with clinical practice,and expense standard can objective-ly and comprehensively reflect the level of medical resource consumption,meanwhile,it will not greatly increase the burden of expenditure of medical insurance funds.So it can provide reference for the medical insurance government to optimize the group scheme of this disease,and also promote hospitals to improve the level of medical insurance fine management.