Objective To investigate and analyze the occupational stress levels and influencing factors among radiation workers in China, and provide a reference for alleviating occupational stress and promoting mental health. Methods Using the general situation questionnaire, Effort-Reward Imbalance questionnaire, and radiation protection knowledge questionnaire, a convenience sampling method was adopted to investigate the occupational stress of 243 radiation workers in Liaoning, Fujian, Guangdong, and Xinjiang provinces. The independent samples t-test, one-way analysis of variance, chi-square test, and binary logistic regression were used to analyze the influencing factors. Results The average score of Effort-Reward Imbalance was 0.97 ± 0.22, and 100 (41.15%) radiation workers had occupational stress. There were significant differences in the detection rate of occupational stress among radiation workers of different ages, working years in radiation positions, monthly incomes, daily sleep durations, and daily working hours (P < 0.05). Logistic regression analysis identified daily working hours as a factor contributing to occupational stress. Conclusion The occupational stress among radiation workers in China is relatively severe. It is recommended to pay attention to the associated risks and implement targeted intervention measures to reduce the impact of occupational stress.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Gastric cancer is a malignant tumor with high prevalence worldwide and limited therapeutic options.Chimeric antigen receptor T-cell(CAR-T)therapy has emerged as a promising approach for gastric cancer treatment;however,its application faces substantial challenges.This review provides comprehensive summary of the recent advances in CAR-T cell therapy for gastric cancer,systematic analysis of critical break throughs and core challenges from target discovery to clinical translation,and outlining of future perspectives.We describe the criter-ia for ideal target selection and highlight the current research landscape of major targets,including CLDN18.2 that demonstrated efficacy,and targets facing distinct challenges,including HER-2,CEA,EpCAM,and MUC1.This review also finely dissects three central barriers restrict-ing CAR-T cell efficacy,and discusses corresponding countermeasures:overcoming the immunosuppressive tumor microenvironment through strategies such as local delivery,armored CAR-T cells,and combination therapies;engineering approaches including affinity modula-tion and logic-gate designs to mitigate on-target/off-tumor toxicity;and optimization of manufacturing processes and reduction of costs via early leukapheresis,rapid production platforms,and universal CAR-T cell strategies.Future multidimensional,integrative,and innovative strategies are pivotal for achieving comprehensive break throughs in CAR-T cell therapy for solid tumors.

Objective:To analyze the accessibility of pediatric-specific drugs included in the National Medical Insurance Negotiated Drug List from 2020 to 2024.Methods:Using multi-source data,the accessibility of pediatric specific drugs was evaluated by analyzing the trend of changes in the number of drugs included in medical insurance,measuring accessibility and affordability.Results:The number of pediatric-specific drugs covered by national healthcare insurance negotiations increased annually,with a notable rise in Western medicines.Overall availability was relatively good,but regional distribution was uneven.Medications for common diseases showed better affordability,while those for rare diseases remained less affordable.Conclusion:The medical insurance negotiation policy has effectively improved the accessibility of pediatric medicines,but regional disparities and affordability challenges for rare disease treatments still require further improvement.It is recommended to optimize policies to reduce interregional disparities in drug availability and enhance the affordability of rare disease medications.

Objective:To analyze the accessibility of pediatric-specific drugs included in the National Medical Insurance Negotiated Drug List from 2020 to 2024.Methods:Using multi-source data,the accessibility of pediatric specific drugs was evaluated by analyzing the trend of changes in the number of drugs included in medical insurance,measuring accessibility and affordability.Results:The number of pediatric-specific drugs covered by national healthcare insurance negotiations increased annually,with a notable rise in Western medicines.Overall availability was relatively good,but regional distribution was uneven.Medications for common diseases showed better affordability,while those for rare diseases remained less affordable.Conclusion:The medical insurance negotiation policy has effectively improved the accessibility of pediatric medicines,but regional disparities and affordability challenges for rare disease treatments still require further improvement.It is recommended to optimize policies to reduce interregional disparities in drug availability and enhance the affordability of rare disease medications.

Gastric cancer is a malignant tumor with high prevalence worldwide and limited therapeutic options.Chimeric antigen receptor T-cell(CAR-T)therapy has emerged as a promising approach for gastric cancer treatment;however,its application faces substantial challenges.This review provides comprehensive summary of the recent advances in CAR-T cell therapy for gastric cancer,systematic analysis of critical break throughs and core challenges from target discovery to clinical translation,and outlining of future perspectives.We describe the criter-ia for ideal target selection and highlight the current research landscape of major targets,including CLDN18.2 that demonstrated efficacy,and targets facing distinct challenges,including HER-2,CEA,EpCAM,and MUC1.This review also finely dissects three central barriers restrict-ing CAR-T cell efficacy,and discusses corresponding countermeasures:overcoming the immunosuppressive tumor microenvironment through strategies such as local delivery,armored CAR-T cells,and combination therapies;engineering approaches including affinity modula-tion and logic-gate designs to mitigate on-target/off-tumor toxicity;and optimization of manufacturing processes and reduction of costs via early leukapheresis,rapid production platforms,and universal CAR-T cell strategies.Future multidimensional,integrative,and innovative strategies are pivotal for achieving comprehensive break throughs in CAR-T cell therapy for solid tumors.

Objective To investigate the current situation of occupational stress among radiation workers in nuclear power plants in China, to explore the factors influencing occupational stress, and to provide a reference for improving occupational stress. Methods A convenient sampling method was adopted to investigate the occupational stress of 100 radiation workers in two nuclear power plants in Fujian and Liaoning, using the general situation questionnaire, effort-reward imbalance questionnaire, and the radiation protection knowledge questionnaire. Independent samples t-test, one-way analysis of variance, chi-square test, and binary logistic regression analysis were used to examine the current situation of occupational stress and the influencing factors. Results The average value of effort-reward imbalance was 0.99 ± 0.15 and 47 (47%) radiation workers had occupational stress. There were significant differences in the detection rate of occupational stress among radiation workers with different ages, years of radiation work, monthly incomes, sleep durations (day), and exercise habits (P < 0.05). Logistic regression analysis showed that monthly income, sleep duration (day), and exercise habits were the influencing factors for occupational stress. Conclusion The occupational stress of radiation workers in nuclear power plants is a serious issue influenced by many factors. Attention should be given to this issue, and targeted interventions should be implemented to improve the social and working environment of this occupational group and reduce the level of occupational stress.

In recent years, occupational stress has become a focus of public attention in public health in China and abroad. Radiation workers are exposed to ionizing radiation in their daily work, which further exacerbates their levels of occupational stress. This not only affects their physical and mental health, but also increases the potential for radiation incidents or accidents. Based on the literature on occupational stress among radiation workers in China throughout the years, this article provides a summary, conclusion, and systematical analysis of the research status of occupational stress among radiation workers, with a detailed sorting of the data. It explores key research issues and directions and provides reference for future work.

In order to further promote the reform of medical service price and strengthen the macro management of medical service price, the author constructed a calculation method for price adjustment space of medical service. This study was centered on two parameters of the historical base and the growth coefficient, to calculate the total amountof price adjustment. The historical base used the total revenue of medical services in the region from the previous year, and the growth coefficient was measured by two methods, the comprehensive indicator method and the consumer price index (CPI) reference method.Taking Suzhou, a national pilot city, as an example, the historical base in 2022 was 18 754 million yuan. By using the comprehensive indicator method, the annual growth coefficient was calculated to be 2.38%, and adjustment space of medical service price was 446.35 million yuan; According to the CPI reference method, the growth coefficient of Suzhou was 2.10%, and adjustment space of medical service price was 393.83 million yuan.The two methods for calculating the total amount each have their own advantages and disadvantages, and need to be further optimized and improved by drawing on the practical experience of reform in each pilot city.

Objective:To design a set of evaluation index system for the medical service price reform mechanism, so as to provide reference for the evaluation of deepening the medical service price reform mechanism.Methods:On the basis of searching literature of medical service prices reformfrom August 2021 to March 2023, policy logic analysis and expert consultation were used to construct evaluation indexes for the medical service price reform mechanism, set evaluation index thresholds, and assign scores to index thresholds in different grades.Results:The evaluationindex system of medical service price reform mechanism included 5 level-1 indexes, 12 level-2 indexes and 35 level-3 indexes. After scoring, the scores of 5 level-1 indexes were 12, 24, 35, 21, and 8, respectively.Based on the percentile scoring method, the evaluation criteria were categorized into five grades: premium, excellent, good, average and failure.Conclusions:This study constructed a set of evaluation index system for the mechanism of medical service price reform, which had strong scientific and operability. However, due to the fact that medical service price reform in the new era is still in its initial stage, the index system need to be further optimized drawing on the practical experience of reforms in pilot cities.