With the rapid development of information technology， research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service， thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory， we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books， built a knowledge sharing service platform for ancient TCM books by integrating database， cloud platform， knowledge graph and other technologies， and carried out the thematic literature research and developed databases for four major diseases including stroke， heart failure， liver cirrhosis， and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally， through "digital processing plus intelligent application"， the two-way interaction between ancient TCM books and current clinical practice is realized， and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed， providing reference for the innovative utilization of ancient TCM books.

Objective Visual electrophysiology and optical correlation tomography angiography(OCTA)were used to investigate differences in preoperative retinal function in patients with type 2 diabetic cataract(DC)without obvious retinopathy(NDR)and to determine the clinical application of whole-process blood glucose man-agement(WBGM)for improving postoperative vision in DC patients.Methods This study investigated the preop-erative and postoperative visual electrophysiology(N75,P100,photopic FERG,and scotopic FERG),peripapil-lary retinal nerve fiber layer(pRNFL)and peripapillary capillary vessel density(ppVD)data,as well as trends in these data changes during blood glucose management intervention.Results As the course of T2DM progressed,FBG and HbA1c increased,the N75 and P100 lategraduancy periods of patients gradually lengthened,and the photopic FERG,scotopic FERG,pRNFL,and ppVD values decreased at each postoperative time point.At the same time,the best corrected visual acuity(BCVA)of patients after surgery gradually decreased(P<0.05).Compared with that at 1 week after surgery,the BCVA of Group A(without whole-process blood glucose manage-ment)gradually increased at 1 month and 3 months after surgery but showed a downward trend at 1 year after sur-gery.The BCVA of Group B(with whole-process blood glucose management)gradually stabilized at 1 month after surgery,and at all time points after surgery,the BCVA of Group B was better than that of Group A.The results showed that N75 and P100 in Group A were greater than those in Group B,while the photopic and scotopic FERG,pRNFL,and ppVD(%)in Group A were lower than those in Group B.In addition,N75 and P100 in Group A showed a gradual prolongation trend at various time points after surgery,while photopic FERG,scotopic FERG,pRNFL,and ppVD(%)showed a gradually decreasing trend.However,the above data in Group B gradu-ally stabilized at 3 months after DC surgery,approaching the preoperative level of the group(P<0.05).In the state of whole blood glucose management,although N75 and P100 both reached their longest durations at 1 week af-ter surgery,N75,P100,photopic FERG,scotopic FERG,and pRNFL showed a gradually decreasing trend at 1 month and 3 months after surgery,while ppVD(%)gradually increased(P<0.05).At various time points from 3 months to 1 year after surgery,the overall trend of the above indicators remained stable and close to the preoperative values(P>0.05).Conclusion According to the results of the quantitative analysis of visual electrophysiology and OCTA,in DC patients without obvious retinopathy and with the worsening of diabetes,retinal function decreased,but whole-process blood glucose management effectively restored retinal function and improved visual quality after surgery.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.

Objective To evaluate the fairness of the configuration of stroke centers in China,and to provide a reference basis for further standardizing and improving the treatment of stroke patients,ensuring medical quality and medical safety.Methods Gini coefficient,agglomeration and Lorenz curve were used to measure the equity of the current configuration of stroke centers in China.Spatial information was analyzed and processed through geographic information system(GIS)technology,combining visualization effects and geographic analysis functions to discover spatial differences in their distribution.Results Currently,there are 1 414 stroke centers in China.The Lorenz curves for the distribution of stroke center allocations by population in all 34 provincial administrative regions of China lie below the fair line.The Gini coefficients and Lorenz curves for the various provincial administrative regions of China show a large disparity in the inequity of resource allocation across the region,with more than half of the provincial administrative regions having stroke centers with an HRAD/PAD＜1,and the distribution of stroke centers relative to the agglomeration of Insufficient population.The nearest-neighbor indices of stroke centers were 0.58(P＜0.01)in China,respectively,which belonged to a typical aggregation pattern with significant zonal differences.Conclusion The planning of stroke centers in China has been effective,but it still needs to be continuously promoted.In response to the situation that demographic fairness is better than geographic,it should be optimized and adjusted in conjunction with urban planning and be adapted to the local conditions with preceding by education and awareness-raising,to cope with the significant differences in the fairness of the configurations of the different provincial administrative districts.