1.Investigation and analysis of the current situation of occupational stress of radiation workers in China
Qi ZHANG ; Jianfei LU ; Peng TONG ; Haoran SUN ; Shanshan KOU ; Xiaolan ZHOU ; ·Yusufu AIKEBAIER ; Weiguo ZHU ; Changsong HOU
Chinese Journal of Radiological Health 2025;34(1):46-54
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.
2.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
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
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Humans
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Delivery of Health Care
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Generative Artificial Intelligence
3.Analysis of the current situation of occupational stress of radiation workers in typical nuclear power plants
Qi ZHANG ; Peng TONG ; Haoran SUN ; Jianfei LU ; Shanshan KOU ; Weiguo ZHU ; Changsong HOU
Chinese Journal of Radiological Health 2024;33(3):310-317
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.
4.Calculation method and empirical analysis of the total amount of price adjustment in medical service price reform
Changsong JIANG ; Lanting LYU ; Ting JIANG ; Peng QI ; Dan GUO ; Na LI ; Xin WANG ; Ximeng ZHAO
Chinese Journal of Hospital Administration 2023;39(7):475-479
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.
5.Construction of the evaluation index system on the mechanism of medical service price reform
Ting JIANG ; Changsong JIANG ; Lanting LYU ; Dan GUO ; Peng QI ; Na LI ; Ximeng ZHAO ; Youli HAN
Chinese Journal of Hospital Administration 2023;39(7):480-485
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.
6.Research status of occupational stress among radiation workers in China
Qi ZHANG ; Haoran SUN ; Jianfei LU ; Shanshan KOU ; Peng TONG ; Weiguo ZHU ; Changsong HOU
Chinese Journal of Radiological Health 2023;32(6):651-655
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.
7.Analysis of the current status of radiation protection in non-medical sectors in China
Weiguo ZHU ; Changsong HOU ; Peng TONG ; Qingzhao ZHANG ; Qi ZHANG ; Shuxia HAO
Chinese Journal of Radiological Medicine and Protection 2021;41(4):282-287
Objective:To analyzes the current status of radiation protection in non-medical sectors, together with the vulnerable spots in the prevention and control of occupational radiation sickness in China in order to provides both technical basis for occupational health management in non-medical radiation sectors and the better protection of occupational health benefits for radiation workers.Methods:The monitoring plan for this survey was worked out on the part of the National Institute for Radiological Protection, China CDC. Survey and monitoring of the current status of radiation protection and occupational health management were, under the monitoring the plan, completed by the relevant agencies of all provincial-level regions for the key industries of non-medical sectors countrywide, involving occupational health monitoring, personal dose monitoring, radiation protection monitoring instruments equipped, and radiation protection monitoring in workplace. Based on the survey result , the deficiencies in radiation protection and occupational health monitoring in non-medical sectors were analyzed.Results:The survey of non-medical sectors was divided into general investigation and detailed monitoring, with the general investigations covering 9 075 non-medical institutions in 31 provincial-level regions across the country. Of them, a total of 4 911 institutions within 329 district-level regions received detailed investigation and radiation protection monitoring. As survey result , the X, γ ambient dose equivalent rates for the institutions using ray-generator are greater than 2.5 μSv/h, about 2.35% of the total, with a maximum of 817 μSv/h. The values for those using radioactive sources were greater than 2.5 μSv/h, about 9.57%, with a maximum of 1 700 μSv/h. The frequencies of personal dose monitoring and occupational health examination were 72.9% and 82.1%, respectively.Conclusions:There is still a gap in radiation protection between the current status and the national regulations and standards in non-medical sectors, so both regulation and management of radiation protection should be further strengthened.
8.Research progress of relationship between peritoneal microenvironment and peritoneal metastasis of gastric cancer
Jingyuan WANG ; Xiaojuan WANG ; Cheng ZHANG ; Changsong QI ; Yanyan LI ; Congcong JI ; Jing GAO ; Lin SHEN
Chinese Journal of Digestive Surgery 2020;19(9):1004-1008
Peritoneal metastasis is one of the most frequent metastatic patterns of advanced gastric cancer, but the mechanism underlying remains unclear. The 'seed and soil’ theory is now well recognized for peritoneal metastasis of gastric cancer at present. The combination of various cells, extracellular matrix, and ascites components within the abdominal cavity provide a suitable microenvironment for the plantation, infiltra-tion, growth and metastasis of gastric cancer cells. Fully under-standing of peritoneal microenvironment will help to diagnose the peritoneal metastasis of gastric cancer and tumor recurrence, and provide theoretical basis for the development of drugs targeting peritoneal microenvironment. The authors review the main cell formation, ascites and immune microenvironment involved in the formation of the peritoneal microenvironment based on relevant literatures at home and abroad, and investigate the relationship between peritoneal microenvironment and peritoneal metastasis of gastric cancer.
9.Current status and research progress of third-line treatment for patients with gastric cancer in China
Changsong QI ; Siyuan CHENG ; Lin SHEN
Chinese Journal of Oncology 2020;42(12):983-988
Gastric cancer (GC) is one of the most common malignant tumors in the world. The prognosis of advanced GC is extremely poor, characterized by the high recurrence or disease progression rate after the first-line chemotherapy, and the extremely low long-term survival rate. Meanwhile, the options for subsequent treatment are limited. Studies have shown that the third-line therapy can provide significant survival benefits for selected patients with advanced GC. Currently, a series of randomized controlled trials and real-world studies related to chemotherapy, targeted therapy, and immunotherapy are conducted. In addition, the explorations of combination therapy, and screening the optimal clinical features or predictive biomarkers for the suitable population who might benefit from the third-line regimens are the hot spots for researchers. This article will provide a detailed overview of the current status and progress of the third-line treatment for advanced GC, and to illustrate the characteristics of Chinese GC treatment.
10.Current status and research progress of third-line treatment for patients with gastric cancer in China
Changsong QI ; Siyuan CHENG ; Lin SHEN
Chinese Journal of Oncology 2020;42(12):983-988
Gastric cancer (GC) is one of the most common malignant tumors in the world. The prognosis of advanced GC is extremely poor, characterized by the high recurrence or disease progression rate after the first-line chemotherapy, and the extremely low long-term survival rate. Meanwhile, the options for subsequent treatment are limited. Studies have shown that the third-line therapy can provide significant survival benefits for selected patients with advanced GC. Currently, a series of randomized controlled trials and real-world studies related to chemotherapy, targeted therapy, and immunotherapy are conducted. In addition, the explorations of combination therapy, and screening the optimal clinical features or predictive biomarkers for the suitable population who might benefit from the third-line regimens are the hot spots for researchers. This article will provide a detailed overview of the current status and progress of the third-line treatment for advanced GC, and to illustrate the characteristics of Chinese GC treatment.

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