Objective To enhance medical service efficiency and optimize healthcare resource utilization,our hospital developed a novel one-stop integrated medical service model combining pre-hospitalization with day surgery.Methods Starting in August 2022,a Class A Tertiary Hospital in Guangzhou implemented a multi-dimensional collaborative mechanism:1.Process reengineering:Standardized workflows shifted preoperative tests and anesthesia evaluations to pre-hospitalization.2.Resource in-tegration:Established a one-stop medical service center as a comprehensive service coordination hub,integrating deposit pay-ment,examination scheduling,testing,medical check-ups,bed allocation,and"one-click admission"into a unified diagnostic and treatment service chain.3.Closed-loop management:Streamlined workflow from outpatient evaluation to follow-up.Results By 2024 vs 2022:Increased annual discharges by 30,000+cases.Reduced preoperative hospitalization by 0.4 days.Im-proved bed occupancy(+10.72％)and turnover(+10.86％).Achieved 94％patient satisfaction.Conclusion This model enhances bed efficiency,reduces hospitalization delays,and offers a scalable framework for healthcare optimization,demonstra-ting both social and operational benefits.

A tertiary public general hospital in Guangdong has innovated its inpatient bed scheduling system by integra-ting multiple models,including"Hospital-Wide Bed Pooling,"outpatient chemotherapy,day surgery,pre-admission,and pre-discharge programs.Supported by policy guidance,this initiative optimizes clinical operations,enhances patient admission struc-tures and processes,and improves bed utilization efficiency through a multi-dimensional centralized bed management approach.By rationally allocating hospital-wide bed resources and maximizing their operational effectiveness,the hospital advances high-quality development in healthcare delivery.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

A tertiary public general hospital in Guangdong has innovated its inpatient bed scheduling system by integra-ting multiple models,including"Hospital-Wide Bed Pooling,"outpatient chemotherapy,day surgery,pre-admission,and pre-discharge programs.Supported by policy guidance,this initiative optimizes clinical operations,enhances patient admission struc-tures and processes,and improves bed utilization efficiency through a multi-dimensional centralized bed management approach.By rationally allocating hospital-wide bed resources and maximizing their operational effectiveness,the hospital advances high-quality development in healthcare delivery.

Objective To enhance medical service efficiency and optimize healthcare resource utilization,our hospital developed a novel one-stop integrated medical service model combining pre-hospitalization with day surgery.Methods Starting in August 2022,a Class A Tertiary Hospital in Guangzhou implemented a multi-dimensional collaborative mechanism:1.Process reengineering:Standardized workflows shifted preoperative tests and anesthesia evaluations to pre-hospitalization.2.Resource in-tegration:Established a one-stop medical service center as a comprehensive service coordination hub,integrating deposit pay-ment,examination scheduling,testing,medical check-ups,bed allocation,and"one-click admission"into a unified diagnostic and treatment service chain.3.Closed-loop management:Streamlined workflow from outpatient evaluation to follow-up.Results By 2024 vs 2022:Increased annual discharges by 30,000+cases.Reduced preoperative hospitalization by 0.4 days.Im-proved bed occupancy(+10.72％)and turnover(+10.86％).Achieved 94％patient satisfaction.Conclusion This model enhances bed efficiency,reduces hospitalization delays,and offers a scalable framework for healthcare optimization,demonstra-ting both social and operational benefits.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

By extracting quantitative radiomic features from regions of interest in medical images and correlating them with the biological features and heterogeneity of tumors, radiomics can provide critical information and a basis for personalized precision diagnosis and treatment. Peritumoral regions contain a wealth of microbiological information. Therefore, chest CT peritumoral radiomics, which can provide quantitative non-invasive assessment for patients with non-small cell lung cancer (NSCLC) by mining the deep heterogeneity of peritumoral regions, has broad prospects for future clinical applications. Given the rapid progress in computer and medical big data techniques, as well as the in-depth efforts in multi-center, high-quality, and large-sample data in the future, it is reasonably believed that radiomics research will be gradually normalized and reproducible. This is conducive to the translation and application of radiomics research to clinical practice, thus laying a foundation for personalized and accurate diagnosis, treatment, and follow-up for lung cancer patients.

To promote the development of the prescription-based processing of Chinese herbal pieces,the China Association of Chinese Medicine published the social organization standard of the Standard for Prescription-based Processing of Chinese Herbal Pieces(T/CACM 1367-2021)in June 2021.The standard was led by the First Affiliated Hospital of Henan University of Chinese Medicine and Jiangsu Province Hospital of Chinese Medicine.It was jointly drafted by 28 Traditional Chinese medical institutions across the country.This paper introduced the standards in detail to promote the implementation and propel the inheritance and innovation of the processing of Chinese herbal pieces.

Objectives:To investigate the effect of body mass index(BMI)on perioperative and long-term prognosis of patients with severe aortic stenosis(AS)after transcatheter aortic valve replacement(TAVR). Methods:This retrospective study imcluded 180 patients with severe AS who received TAVR in Fujian Provincial Hospital from January 2019 to January 2022.According to the BMI,patients were divided into four groups:low weight group(BMI<18.5 kg/m2,n=23),normal weight group(18.5 kg/m2≤BMI<24.0 kg/m2,n=65),overweight group(24.0 kg/m2≤BMI<28.0 kg/m2,n=57),obesity group(BMI≥28.0 kg/m2,n=35).The general clinical characteristics,imaging parameters,perioperative indexes,all-cause death and the incidence of other adverse cardiac events during(18.0±6.8)months follow-up were compared among different groups.Risk factors for the perioperative complications and long-term outcomes of TAVR were evaluated. Results:The prevalence of hypertension and diabetes,left ventricular end-diastolic diameter,ventricular septal thickness and left ventricular posterior wall thickness were significantly higher in the obese group than in normal weight group(all P<0.05).The level of prealbumin in low weight group was lower than in normal weight group(P<0.05).The total perioperative complications in low weight group were higher than in normal weight group(60.9%vs.12.3%,P=0.042).During(18.0±6.8)months follow-up,the incidence of all-cause death in the low weight group was significantly higher than that in normal weight group,overweight group and obese group(17.4%vs.4.6%vs.3.5%vs.5.7%,P=0.003).Kaplan-Meier survival analysis evidenced higher mortality rate in low weight group at 18 months after TAVR(log-rank P<0.01).Multivariate Cox regression analysis showed that the risk of long-term adverse cardiovascular events was significantly higher in low weight group than in normal weight group(HR=7.633,95%CI:1.012-57.564,P=0.049). Conclusions:Low weight patients with severe AS have a higher incidence of perioperative complications and a poor long-term prognosis.Such patients should appropriately strengthen their nutritional intake and adjust their body weight to normal levels before performing TAVR.

Objectives:To evaluate the learning curve of transcatheter aortic valve replacement(TAVR)in a single center by single operator using Venus A valve. Methods:A total of 150 patients with severe aortic stenosis who underwent TAVR using Venus A valve in Fujian Provincial Hospital from July 2018 to May 2022 were selected.According to the time order of TAVR,the 1st-50th patients were included in group A,the 51st-100th patients were included in group B and the 101st-150th patients were included in group C.The basic clinical data,perioperative parameters and postoperative follow-up data of the three groups were analyzed. Results:All high-risk patients with severe aortic stenosis had an average STS score(7.9±1.5)and were treated with Venus A valve.The total operation time of group A,group B and group C was(226.2±86.3)min,(115.2±47.1)min,(108.2±38.1)min;the peripheral path operation time was(45±10)min,(20±7)min,(18±6)min;the valve release time was(13.0±2.3)min,(5.0±2.1)min,(3.0±1.7)min;the X-ray fluoroscopy time was(24±8)min,(11±5)min,(10±3)min;the radiation dose was(1 266±227)mGy,(532±132)mGy,(519±108)mGy;and the total incidence of perioperative adverse events was 46%,18%,16%,respectively.The differences were statistically significant(all P<0.05).The total incidence of adverse events during follow-up within 6 months for patients in group A,group B,and group C were 6%,2%,and 0%(P>0.05).With the increase of TAVR cases,the correlation curve of each time node of TAVR and radiation dose tended to be stable after the 50th-60th cases. Conclusions:With the increase of procedural experience,the total operation time,operative time nodes,radiation dose and perioperative adverse events of TAVR with Venus A valve decreases gradually,and the operator usually needs 50-60 cases to cross the TAVR learning curve.