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

Objective:To explore the differences in the characteristics of policies and the synergies between policy objectives and policy tools of health and wellness policies in Beijing-Tianjin-Hebei.Methods:The policy characteristics of the policies in Beijing-Tianjin-Hebei were analyzed with the help of Latent Dirichlet Allocation(LDA)theme model and text mining method.Correlation analysis and policy consistency modeling were used to analyze the consistency of policies issued from 2014 to 2023 in Beijing-Tianjin-Hebei in nine dimensions,including health care,training,emergency response,quality control,evaluation,regulation,medical insurance,medicine,and health care.Results:Beijing,Tianjin and Hebei have differentiated policy concerns at different stages,with Beijing focusing on healthcare integration and nursing care,Tianjin focusing on quality control and cost management,and Hebei focusing on physician qualification assessment and equipment management.Beijing,Tianjin and Hebei have steadily improved medical insurance interoperability and emergency response synergies,and lacked coherence in policy synergies in other dimensions.Hebei showed a stronger willingness to synergize the policy subjects.Conclusion:There is still a lack of long-term policy harmonization within Beijing-Tianjin-Hebei.In the future,efforts should be made to promote the process of policy synergization and coordination among the three regions of Beijing-Tianjin-Hebei in policy implementation.

Objective:It explored the effects of local financial input on the efficiency of health resource allocation in China,and analyzed its nonlinear relationship,so as to provide a basis for health policy formulation.Methods:Based on the data of 31 provinces,municipalities and autonomous regions from 2010 to 2022,the super-efficiency SBM model was used to measure the allocation efficiency of health resources,and its distribution dynamics were analyzed in combination with kernel density estimation.The threshold regression model was used to evaluate the impact of different financial input levels on the efficiency.Results:Local financial input has significant threshold effect on health resource allocation efficiency.Kernel density estimation shows that with the increase of input,the efficiency distribution tends to be concentrated,the high efficiency region increases,and the low efficiency region decreases.Threshold regression results show that when the financial input exceeds the key threshold of 7.1%,the positive impact is significantly enhanced.Conclusion:Raising the key threshold of financial input can significantly improve the efficiency of health resource allocation.Policymakers should take regional differences into account,formulate differentiated strategies,strengthen implementation and supervision,ensure the effective use of funds,so as optimize health resource allocation.

Objective:To explore the differences in the characteristics of policies and the synergies between policy objectives and policy tools of health and wellness policies in Beijing-Tianjin-Hebei.Methods:The policy characteristics of the policies in Beijing-Tianjin-Hebei were analyzed with the help of Latent Dirichlet Allocation(LDA)theme model and text mining method.Correlation analysis and policy consistency modeling were used to analyze the consistency of policies issued from 2014 to 2023 in Beijing-Tianjin-Hebei in nine dimensions,including health care,training,emergency response,quality control,evaluation,regulation,medical insurance,medicine,and health care.Results:Beijing,Tianjin and Hebei have differentiated policy concerns at different stages,with Beijing focusing on healthcare integration and nursing care,Tianjin focusing on quality control and cost management,and Hebei focusing on physician qualification assessment and equipment management.Beijing,Tianjin and Hebei have steadily improved medical insurance interoperability and emergency response synergies,and lacked coherence in policy synergies in other dimensions.Hebei showed a stronger willingness to synergize the policy subjects.Conclusion:There is still a lack of long-term policy harmonization within Beijing-Tianjin-Hebei.In the future,efforts should be made to promote the process of policy synergization and coordination among the three regions of Beijing-Tianjin-Hebei in policy implementation.

Objective:To investigate the policy impacts of the Beijing-Tianjin-Hebei coordinated development strategy on medical and health resources in Beijing,Tianjin,and Hebei.It also seeks to analyze these effects comprehensively and provide recommendations.Methods:Relevant data on medical and health resources from 2005 to 2022 across all 31 provinces,municipalities,and autonomous regions were summarized.The entropy weight method was used to construct the comprehensive index,allocation index and utilization index of Beijing-Tianjin-Hebei healthcare resources as important indicators for evaluating the policy effects,and the regression control method was used to analyze the policy effects of Beijing-Tianjin-Hebei healthcare integration on the healthcare resources in Beijing,Tianjin and Hebei.Results:The coordinated development strategy has produced varying policy effects on medical and health resources in these three locations,with more pronounced effects observed in Beijing and Hebei compared to Tianjin;however,a comprehensive breakthrough towards promoting efficient utilization of regional medical and health resources has not yet been achieved.Conclusion:On the basis of further optimizing the allocation of resources,it is needed to enhance the efficiency of resource utilization,while identifying the positioning of synergistic development of Beijing,Tianjin and Hebei to further enhance the effect of health policies

Objective:It explored the effects of local financial input on the efficiency of health resource allocation in China,and analyzed its nonlinear relationship,so as to provide a basis for health policy formulation.Methods:Based on the data of 31 provinces,municipalities and autonomous regions from 2010 to 2022,the super-efficiency SBM model was used to measure the allocation efficiency of health resources,and its distribution dynamics were analyzed in combination with kernel density estimation.The threshold regression model was used to evaluate the impact of different financial input levels on the efficiency.Results:Local financial input has significant threshold effect on health resource allocation efficiency.Kernel density estimation shows that with the increase of input,the efficiency distribution tends to be concentrated,the high efficiency region increases,and the low efficiency region decreases.Threshold regression results show that when the financial input exceeds the key threshold of 7.1%,the positive impact is significantly enhanced.Conclusion:Raising the key threshold of financial input can significantly improve the efficiency of health resource allocation.Policymakers should take regional differences into account,formulate differentiated strategies,strengthen implementation and supervision,ensure the effective use of funds,so as optimize health resource allocation.

Purpose To quantitatively compare the diffusion parameters of mono-and biexponential diffusion-weighted imaging models,and to obtain optimal sets of b-values in diffusion-weighted MRI for obtaining monoexponential apparent diffusion coefficient(ADC)close to perfusion-insensitive intravoxel incoherent motion(IVIM)model ADC(ADCIVIM)in identifying of pulmonary solid benign and malignant lesions.Materials and Methods IVIM was performed in 40 patients with solid nodule and masse in Xi'an Gaoxin Hospital from July 2021 to August 2022 using a 3.0T MR imager.Two experienced diagnostic radiologists subjectively evaluated the IVIM images.A single index model was used to calculate ADC values(ADC0-1 000,ADC20-1 000,ADC50-1 000,ADC80-1 000,ADC150-1 000,ADC300-1 000,ADC500-1 000,ADC300,500,1 000,ADC300,800,1 000,ADC300,500,ADC300,800 and ADC300,1 000).The reference standard ADCIVIM value were calculated using a double-exponential model.The physician's measurements between two physicians were measured.The malignant and benign groups were compared and receiver operator characteristic curve for all parameters were analyzed.Results The measurement consistency of ADC values under b value sets and ADCIVIM was very good,and the intraclass correlation coefficient was more significant than 0.75.The differences between ADCIVIM and ADC values in each b group were statistically significant(t=-6.016--2.500,all P<0.05).The area under the curve(AUC)of ADCIVIM was the largest(0.906),with an optimal threshold of 1.271×10-3 mm2/s,a sensitivity of 80.0%and a specificity of 93.0%.The diagnostic efficacy close to ADCIVIM were ADC300,800(AUC=0.891),ADC50-1 000(AUC=0.827)and ADC300,800,1 000(AUC=0.795),respectively.The optimal threshold of ADC300,800 was 1.140×10-3 mm2/s,the sensitivity and specificity were 80.0%and 93.7%,respectively.Conclusion Combining b-values 300 s/mm2 and 800 s/mm2 is recommended as routine scanning parameters for identifying the insensitive monoexponential ADC between benign and malignant solid pulmonary lesions.

Purpose To quantitatively compare the diffusion parameters of mono-and biexponential diffusion-weighted imaging models,and to obtain optimal sets of b-values in diffusion-weighted MRI for obtaining monoexponential apparent diffusion coefficient(ADC)close to perfusion-insensitive intravoxel incoherent motion(IVIM)model ADC(ADCIVIM)in identifying of pulmonary solid benign and malignant lesions.Materials and Methods IVIM was performed in 40 patients with solid nodule and masse in Xi'an Gaoxin Hospital from July 2021 to August 2022 using a 3.0T MR imager.Two experienced diagnostic radiologists subjectively evaluated the IVIM images.A single index model was used to calculate ADC values(ADC0-1 000,ADC20-1 000,ADC50-1 000,ADC80-1 000,ADC150-1 000,ADC300-1 000,ADC500-1 000,ADC300,500,1 000,ADC300,800,1 000,ADC300,500,ADC300,800 and ADC300,1 000).The reference standard ADCIVIM value were calculated using a double-exponential model.The physician's measurements between two physicians were measured.The malignant and benign groups were compared and receiver operator characteristic curve for all parameters were analyzed.Results The measurement consistency of ADC values under b value sets and ADCIVIM was very good,and the intraclass correlation coefficient was more significant than 0.75.The differences between ADCIVIM and ADC values in each b group were statistically significant(t=-6.016--2.500,all P<0.05).The area under the curve(AUC)of ADCIVIM was the largest(0.906),with an optimal threshold of 1.271×10-3 mm2/s,a sensitivity of 80.0%and a specificity of 93.0%.The diagnostic efficacy close to ADCIVIM were ADC300,800(AUC=0.891),ADC50-1 000(AUC=0.827)and ADC300,800,1 000(AUC=0.795),respectively.The optimal threshold of ADC300,800 was 1.140×10-3 mm2/s,the sensitivity and specificity were 80.0%and 93.7%,respectively.Conclusion Combining b-values 300 s/mm2 and 800 s/mm2 is recommended as routine scanning parameters for identifying the insensitive monoexponential ADC between benign and malignant solid pulmonary lesions.

Objective:To investigate the policy impacts of the Beijing-Tianjin-Hebei coordinated development strategy on medical and health resources in Beijing,Tianjin,and Hebei.It also seeks to analyze these effects comprehensively and provide recommendations.Methods:Relevant data on medical and health resources from 2005 to 2022 across all 31 provinces,municipalities,and autonomous regions were summarized.The entropy weight method was used to construct the comprehensive index,allocation index and utilization index of Beijing-Tianjin-Hebei healthcare resources as important indicators for evaluating the policy effects,and the regression control method was used to analyze the policy effects of Beijing-Tianjin-Hebei healthcare integration on the healthcare resources in Beijing,Tianjin and Hebei.Results:The coordinated development strategy has produced varying policy effects on medical and health resources in these three locations,with more pronounced effects observed in Beijing and Hebei compared to Tianjin;however,a comprehensive breakthrough towards promoting efficient utilization of regional medical and health resources has not yet been achieved.Conclusion:On the basis of further optimizing the allocation of resources,it is needed to enhance the efficiency of resource utilization,while identifying the positioning of synergistic development of Beijing,Tianjin and Hebei to further enhance the effect of health policies

TCM dispensing is the most basic clinical pharmaceutical work of TCM.In recent years,based on the 9 key technologies of TCM dispensing,the TCM dispensing industry has ushered in great development,and innovative TCM dispensing information system and intelligent dispensing equipment have appeared.This article sorted out the current situation of TCM dispensing industry and looked forward to its future development route.The results showed that the introduction of new technology and new equipment in the key technical links of procurement acceptance,dispensing review,TCM decocting,medication guidance and so on have improved the quality of dispensing service and ensured the quality and safety of medication.In the development of modern TCM dispensing industry,it is necessary to improve the quality control standard system,service standard system and core equipment standard system in the standardization of dispensing technology;in terms of talent cultivation in the field of dispensing,it is necessary to focus on restructuring and building new educational models to cultivate new medical talents that intersect medical and engineering fields;in terms of informatization and intelligence,it is necessary to develop intelligent equipment that is more in line with the characteristics of TCM,and further promote and improve the"shared TCM pharmacy"model.Through improving the content of TCM clinical pharmaceutical care,developing new technology and equipment of TCM dispensing,and improving the level of dispensing service and education,it is expected to gradually realize the standardization,informatization and intelligent development of modern TCM dispensing industry.