OBJECTIVE To provide reference for strengthening the standardized management of off-label drug use in cancer hospitals. METHODS The evaluation system for off-label drug use was established to standardize the application， approval， and filing process for off-label drug use in our hospital. The changes in off-label drug application quantity， proportion， disease category and drug category in our hospital were compared before （October 1st， 2021-September 30th， 2022） and after （October 1st， 2022- September 30th， 2023） the establishment of the evaluation system； drug items supported by high-level evidence screened by pharmacy department were analyzed statistically. RESULTS The number of off-label drug use applications in our hospital had gradually increased， from 306 pieces in the fourth quarter of 2021 to 3 828 pieces in the third quarter of 2023. In the year before the construction of the evaluation system， there were a total of 4 482 applications for off-label drug use， and in the year after the construction of the evaluation system， there were 11 840 applications for off-label drug use. After the construction of the evaluation system， the proportion of unregistered off-label drug use significantly decreased， compared to the same period last year （P＜0.05）. Among them， there were no unregistered applications for off-label drug use for digestive system tumors， head and neck tumors， and radioactive drugs； lymphoma， breast tumors，urogenital system tumors， cytotoxic drugs and new anti-tumor drugs all had a decrease of over 70% in unregistered off-label drug applications. Twenty-seven off-label drug use items related to 19 drugs supported by high-level evidence were screened by the pharmacy department of our hospital， among which 25 items were drug use beyond indication. CONCLUSIONS The establishment of off-label drug use evaluation system in cancer hospital is helpful to the rational use and refined management of clinical anti-tumor drugs.

Objective To analyze the clinical data and head imaging features of perioperative acute ischemic stroke(POAIS)with non-small cell lung cancer(NSCLC)and to explore the possible risk factors and pathogeneses of it,and to provide evidence for the prevention and treatment of POAIS.Methods Data of patients with primary NSCLC who underwent lung resection and had POAIS was retrospectively collected,and the clinical data of patients with cerebral infarction of large artery atherosclerosis(LAA)and stroke of undetermined etiology(SUE)was compared.Results There were 25 NSCLC patients with POAIS,some of whom had no history of cardiovascular and cerebrovascular diseases,and the proportion was higher in SUE.The most common excision site was left upper lobe,especially in SUE.The pathological stage and type were mainly early stage and adenocarcinoma.Most patients developed POAIS within 7 days after surgery,and mainly mild to moderate.Middle cerebral artery was the main responsible vessel and most patients'cerebral infarction locations≥3.SUE was the most common type of Trial of Org 10172 in Acute Stroke Treatment(TOAST),followed by LAA type.Compared with SUE,more patients had a history of type 2 diabetes(P=0.006)and higher preoperative fasting glucose level(P=0.013)with LAA type.Conclusion Attention should be paid to the prevention of LAA type cerebral infarction in NSCLC patients with type 2 diabetes or preoperative high fasting glucose level,and antithrombotic regimen is selected according to different etiological mechanisms of POAIS.The formation of pulmonary vein thrombosis after lung resection should be prevented and paid attention to.

Objective:To establish the objective of zero inventory management of in vitro diagnostic reagents,to evaluate the quality of supply chain,and to improve the existing problems in the supply of reagents.Methods:The problems existing in the management of in vitro diagnostic reagents were analyzed from the aspects of inventory,supply efficiency and product quality,and the management system of hospital operation,management quality and patient benefit optimization was established,and the zero-inventory management path and quality evaluation model were constructed.85 models of 21 types of in vitro diagnostic reagents purchased by Jiangsu Subei People's Hospital from January 2020 to March 2023 were selected.According to different supply chain quality management methods,on-demand inventory management mode(referred to as mode 1)and zero inventory management mode(referred to as mode 2)were adopted respectively.The demand procurement,inventory management and clinical use effects of the two management modes were compared.Results:The reagent procurement demand compliance rate,supply capacity high-quality quality rate and clinical use matching rate of mode 2 were(93.35±3.62)%,(94.87±2.63)% and(96.08±2.31)%,respectively,which were higher than those of mode 1,the difference was statistically significant(Z=2.489,2.836,2.838,P<0.05).The number of cases of long-term overstocking of products,substandard environment and untimely information in mode 2 were(2.92±2.54)cases,(2.83±1.59)cases and(5.58±3.12)cases,respectively,which were lower than those in mode 1,the difference was statistically significant(Z=2.959,3.037,3.703,P<0.05).The satisfaction of clinical departments,medical technology departments and procurement center with the supply,distribution and information communication of in vitro diagnostic reagents in mode 2 were 97.8% and 93.3%,97.0% and 87.9%,100% and 84.6%,respectively,which were higher than those in mode 1,the difference was statistically significant(x2clinical departments=5.428,6.133,x2medical technology departments=3.958,3.937,x2procurement center=5.159,4.996,P<0.05).Conclusion:The zero inventory management model can improve the standardization of in vitro diagnostic reagent demand procurement,reduce the incidence of backlog failure in inventory management,and improve the quality of clinical supply services.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.

Objective:To explore the role of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)combined with Rank Sum Ration(RSR)comprehensive evaluation method in establishing the China Healthcare Security Diagnosis Related Groups(CHS-DRG)operational performance system under the CHS-DRG payment system.Methods:SPSSPRO statistical analysis software was used,and TOPSIS method was used to regularly evaluate and rank the CHS-DRG disease groups in the hospital based on five indicators:Case Mix Index(CMI),total weight,average cost per weight,average length of stay per weight,and group profit and loss.RSR method was used to classify the TOPSIS disease group ranking results,establish performance reward standards for different grades of disease groups,and summarize and restore the reward results for each patient in the disease group to each clinical department,ultimately forming a department performance reward plan.The changes in key operational indicators related to medical insurance patients in hospitals were observed to verify the effectiveness of implementing performance reward programs.Results:After the application of TOPSIS combined with RSR comprehensive evaluation method in the construction of CHS-DRG operational performance system,the number of hospital medical insurance patients were increased,CMI value were stabilized,average cost per visit were decreased,average length of stay were shortened,and DRG disease group surplus were increased.Conclusion:The TOPSIS combined with RSR comprehensive evaluation method has played a good role in the construction of the CHS-DRG operational performance system.As a method of hospital economic operation evaluation,it is practical and innovative.