Objective To study physicians'use of Artificial Intelligence-based Clinical Decision Support System(AI-CDSS)and its influencing factors in primary and secondary hospitals in China.Methods 443 physicians in prima-ry and secondary hospitals were surveyed by questionnaire.Univariate Chi-square test and logistic regression analy-sis were used to explore the influencing factors of doctors'use of Al-CDSS.Results Through univariate analysis,the effects of job title,working years,major,performance expectation,social influence,technical anxiety and indi-vidual innovation on use behavior were statistically significant(P＜0.05).logistic regression analysis showed that in terms of working years,1 year or less,2 to 5 years,6 to 10 years,11 to 15 years,16 to 20 years and conve-nience were generally protective factors for physicians to use AI-CDSS,while attending physician,surgical direc-tion,non-existence of social influence,average social influence and personal innovation were generally risk factors.The differences were statistically significant(P＜0.05).Conclusion Physicians'use of AI-CDSS is influenced by their working years and social influences.It is necessary to improve the cognition of physicians with long working years on AI-CDSS,give play to the radiation driving role of the surrounding environment,and pay attention to the cultivation of personal innovation.

Chronic obstructive pulmonary disease (COPD) poses a significant public health challenge in China due to its high prevalence and substantial disease burden. Primary healthcare institutions (PHIs) serve as the cornerstone for COPD prevention and management. However, they currently face critical challenges, including inadequate diagnostic capacity, suboptimal treatment standardization, and limited patient awareness. In recent years, national efforts have initiated the development of a primary-level COPD prevention and management network. Key strategies include incorporating COPD into the Fundamental Public Health Service Program (FPHSP), strengthening lung function screening, promoting tiered diagnosis and treatment systems, establishing central-local coordination mechanisms, and implementing National Major Public Health Service Programs. Future directions necessitate focused efforts on: constructing integrated prevention and treatment models; optimizing the two-way referral system; enhancing screening for high-risk populations; leveraging digital health empowerment; and establishing a multi-dimensional quality evaluation system. These concerted actions are essential to build a comprehensive, high-quality COPD healthcare management system within primary care settings, ultimately contributing to the goals of the Healthy China Initiative (2019-2030).

Objective To study physicians'use of Artificial Intelligence-based Clinical Decision Support System(AI-CDSS)and its influencing factors in primary and secondary hospitals in China.Methods 443 physicians in prima-ry and secondary hospitals were surveyed by questionnaire.Univariate Chi-square test and logistic regression analy-sis were used to explore the influencing factors of doctors'use of Al-CDSS.Results Through univariate analysis,the effects of job title,working years,major,performance expectation,social influence,technical anxiety and indi-vidual innovation on use behavior were statistically significant(P＜0.05).logistic regression analysis showed that in terms of working years,1 year or less,2 to 5 years,6 to 10 years,11 to 15 years,16 to 20 years and conve-nience were generally protective factors for physicians to use AI-CDSS,while attending physician,surgical direc-tion,non-existence of social influence,average social influence and personal innovation were generally risk factors.The differences were statistically significant(P＜0.05).Conclusion Physicians'use of AI-CDSS is influenced by their working years and social influences.It is necessary to improve the cognition of physicians with long working years on AI-CDSS,give play to the radiation driving role of the surrounding environment,and pay attention to the cultivation of personal innovation.

Chronic obstructive pulmonary disease (COPD) poses a significant public health challenge in China due to its high prevalence and substantial disease burden. Primary healthcare institutions (PHIs) serve as the cornerstone for COPD prevention and management. However, they currently face critical challenges, including inadequate diagnostic capacity, suboptimal treatment standardization, and limited patient awareness. In recent years, national efforts have initiated the development of a primary-level COPD prevention and management network. Key strategies include incorporating COPD into the Fundamental Public Health Service Program (FPHSP), strengthening lung function screening, promoting tiered diagnosis and treatment systems, establishing central-local coordination mechanisms, and implementing National Major Public Health Service Programs. Future directions necessitate focused efforts on: constructing integrated prevention and treatment models; optimizing the two-way referral system; enhancing screening for high-risk populations; leveraging digital health empowerment; and establishing a multi-dimensional quality evaluation system. These concerted actions are essential to build a comprehensive, high-quality COPD healthcare management system within primary care settings, ultimately contributing to the goals of the Healthy China Initiative (2019-2030).

The development of respiratory and critical care medicine from a combination and binding approach to a cross-integrated reconstruction of pulmonary and critical care medicine (PCCM) has become an inevitable trend and basic strategy for the high-quality development of respiratory medicine and actively responding to the prevention and control of major disease risks in China. The author analyzed the dilemmas and bottlenecks in the long-term development of traditional respiratory medicine in China and their causes, summarized the international experience in the establishment of modern respiratory disciplines, and systematically reviewed the development process of traditional respiratory disciplines in China to PCCM department.Finally, the author pointedly put forward some thoughts and prospects on leading the development of disciplines from personnel training, department construction and industry development, promoting the new business form of " integrated vertical and horizontal" disciplines with intelligent information construction, and practicing the concept of population medicine to improve the high-quality development of PCCM.

The incidence and prevention of chronic non-communicable respiratory diseases represented by chronic obstructive pulmonary disease, bronchial asthma, and lung cancer, as well asrespiratory communicable diseases such as viral pneumonia and tuberculosis, are becoming increasingly severe and complex.Only by constructing the modern respiratory discipline system of pulmonary and critical care medicine (PCCM) and developing the standardized management of PCCM departments in the hospital, could we achieve the goal of establishing overall specialized capacity for respiratory diseases and improving the ability of disease prevention and treatment in China. This article introducedthe project design and practice exploration based on the standardized construction of PCCM department in hospital, in the context of the new pattern of modern respiratory discipline.It focused on project initiation and management, formulation of evaluation standards, identification process and grading, and phased effectiveness.It also discussed and analyzed the experience, enlightenment, existing problems and suggestions, which could provide reference and advance experience for innovation, governance and improvement of capacity building of respiratory specialty and high-quality development of other medical disciplines and specialties in China.

Humans ; Critical Illness ; Critical Care ; Intensive Care Units ; Surveys and Questionnaires

Objective:To analyze the screening status of high-risk population of chronic obstructive pulmonary disease (COPD) in areas where “Happy Breathing” project was carried out.Method:There were 1 008 518 COPD screening questionnaires (COPD-SQ) filled out in 18 pilot areas of “Happy Breathing” program from November 2017 to October 2019. Within subjects who scored 16 points or more with COPD-SQ, 63 523 of them underwent pulmonary function tests before bronchodilator inhalation. Stratified analysis, chi-square test and other statistical methods were performed to analyze the distribution of COPD high-risk groups, the prevalence of COPD among high-risk groups and risk factors of COPD.Results:Results in this study suggested that the high-risk population of COPD accounted for 18.99% (191 498/1 008 518) of the population who received the questionnaire screening. Among the high-risk population who received lung function test, 31.59% (20 070/63 523) were screened and diagnosed as COPD patients. As for risk factors of COPD, the proportion of high-risk population was higher in people with a smoking index ≥600 compared with never-smokers (54.20% vs 12.60%), and the prevalence of COPD was also higher in people with a smoking index ≥600 (35.62% vs 25.22%); people who were exposed to second-hand smoke almost every day also showed an increased proportion of high-risk groups (27.39% vs 10.97%) and a high prevalence of COPD (31.36% vs 27.93%) than those without second-hand smoke exposure; the presence or absence of biofuel exposure also caused the difference in the proportion of high-risk groups (33.92% vs 13.11%); compared with people without a family history of respiratory diseases, the proportion of high-risk groups (56.38% vs 16.42%) and the prevalence of COPD in high-risk groups (32.40% vs 29.19%) were both higher in those with family history of respiratory diseases.Conclusion:The high-risk group of COPD accounts for a high proportion of the screened population, suggesting that the “Happy Breathing” project is feasible and necessary in COPD screening, which is helpful for the development of COPD diagnosis and treatment.

Objective:To survey the knowledge levels of chronic obstructive pulmonary disease(COPD) among physicians in primary care and related factors.Methods:A questionnaire survey was conducted during December 2020 to December 2021 among 1 232 primary care doctors in Zhumadian City of Henan Province. The questionnaire included basic information, knowledge of COPD and its management, and the training received. The COPD-related knowledge levels and the influencing factors were analyzed using logistic regression model.Results:A total of 1 232 questionnaires were collected, and 1 221(99.1%) were valid, which were included in the analysis. The survey showed that the COPD-related knowledge level was significantly associated with the educational level of primary care physicians(χ2=9.91, P<0.05); and the Pearson correlation analysis showed that the knowledge level was positively correlated with educational level( r=0.09, P<0.05). In terms of risk factors, causes of acute exacerbations, and treatment and management of COPD, there was a linear relationship between the education level and knowledge level(χ2=13.86, P<0.001;χ2=20.93, P<0.001); the Pearson correlation analysis showed that the knowledge level was correlated with higher educational level( r=0.11, P<0.001; r=0.13, P<0.001). In terms of symptoms and diagnosis, there was no correlation between educational level and awareness level(χ2=1.90, P=0.168). Logistic regression model showed that compared to doctors aged 20-30, those aged 31-40 had a higher COPD-related knowledge level( OR=2.24, 95% CI: 1.16-4.30, P=0.016); compare to the doctors with associate degree, doctors with bachelor degree or above had a higher COPD-related knowledge( OR=1.71, 95% CI:1.24-2.37, P=0.001); compared to doctors without professional title, those with primary or middle-rank professional title had a higher knowledge level( OR=1.65, 95% CI: 1.28-2.13, P<0.001; OR=2.15, 95% CI: 1.46-3.16, P<0.001); compared to doctors with training time<3, those with training time ≥3 had a higher knowledge level( OR=1.15, 95% CI: 1.21-2.61, P=0.021). Conclusion:The COPD-related knowledge levels(especially in knowledge of risk factors and causes of acute exacerbations, and treatment and management of COPD) among doctors in primary care are affected by age, educational background, professional title, and the number of training sessions.

Objective:To discuss the development and management of full-time research assistants in China′s large hospitals.Methods:Through the methods of policy sorting, literature research, summarization, and classification, this study focused on the policy background, development opportunities, and the needs of the times for the position establishment of research assistants in China′s large hospitals, comprehensively classified the practical exploration and existing problems of employing and managing full-time research assistants in typical large hospitals in the country, and discussed the relevant management strategies learned from international experience.Results:In addition to hospitals directly affiliated with colleges and universities, dozens of large local hospitals in more than ten provinces have carried out beneficial practices of establishing the employment, management, and assessment systems for research assistants positions and achieved some progress. However, there are still common problems such as limited cognition of ″temporary positions″, insufficient coverage of the positions, low salary and welfare, and lack of training and development mechanisms as well as promotion and career development paths.Conclusions:The development and management of research assistants in large hospitals have gradually shifted their purpose from alleviating the employment issue of the graduates to reserving talented people in medical teaching, researching and managing, forming a high-quality, professional, and full-time medical scientific team, and continuously innovating. This article puts forward some suggestions about establishing the management system of research assistants, strengthening the standardized training for talented people, and constructing a diversified incentive mechanism combining performance appraisal and target management for research assistants.