Objective:To design a management system of internet of things(IoT)smart operation room based on business process reconstruction theory,and explore the application effect of that in improving management effectiveness for operation room.Methods:Aimed at the existing problems of key points in the management for operation room,the process was reconstructed on the basis of the original information system,relevant systems,workflows and standards of operation room of Fuwai Hospital of Medical Sciences and Peking Union Medical College.Then,a management system of IoT smart operation room based on business process reconstruction theory was designed.The surgical data of 13159 patients who underwent relevant operation of cardiovascular surgery from January to December 2022 were selected,and they were divided into"before-application"group(6 483 cases)and"after-application"group(6 676 cases)according to the point before and after the system was applied.Some indicators'data,which included scheduling management situation of picking up and dropping off patients by medical auxiliaries,duration of preparing anesthesia,duration of preoperative waiting,interval duration of continuous surgery and usage amount of surgical gowns under same amount of surgery,between two groups were compared.Results:The transportation efficiency of patients who underwent surgery after system was applied was(1.38±0.09)surgeries/h,which was higher than(0.99±0.09)surgeries/h before it was applied,and the difference was statistically significant(t=6.604,P<0.001).The satisfaction score of medical auxiliaries increased from 3.83(3.33,4.5)before application to 4.50(4.33,4.83)after application,and the difference was significant(Z=2.02,P<0.05).The duration of preparing anesthesia and duration of preoperative waiting after the system was applied were respectively(62.04±2.29)and(8.09±2.46)min,both of which were less than those before the system was applied,and the differences of them between two groups were statistically significant(t=2.309,2.280,P<0.05).The usage amount of surgical gowns under same amount of surgery after the system was applied was(4.11±0.57)gowns/surgery,which was less than(5.81±0.29)gowns/surgery before the system was applied,and the difference was statistically significant(t=6.489,P<0.05).Conclusion:The application of the management system of IoT smart operation room based on business process reconstruction theory can provide more safely,high-qualitatively and efficiently medical services for patients,and improve work efficiency and management effectiveness for operation room,and reduce resource consumption and operating cost.

This study summarizes the preoperative and intraoperative nursing experience in 5 cases of bridge-to-transplant heart transplantation with left ventricular assist device(LVAD)explant.Key points of nursing include:preoperative care and assessment of LVAD patients,preoperative discussion of the multidisciplinary team,safe transfer of patients to surgical rooms and other preoperative preparation,cardiomyocardial protection and multidisciplinary team cooperation during bridging transplantation,and intra-operative patient safety management.All 5 patients in this group successfully completed the surgery and were discharged.Pressure sores,wound infections,and other postoperative complications have not occurred.Postoperative cardiac function of 5 patients in this group were classified as New York Heart Association class Ⅰ～Ⅱ.The follow-up period for the 5 patients in this group ranged from 6 months to 6 years.The results of the most recent echocardiography follow-up showed that the left ventricular ejection fraction of all patients was all above 65％,with well prognosis.

This study summarizes the preoperative and intraoperative nursing experience in 5 cases of bridge-to-transplant heart transplantation with left ventricular assist device(LVAD)explant.Key points of nursing include:preoperative care and assessment of LVAD patients,preoperative discussion of the multidisciplinary team,safe transfer of patients to surgical rooms and other preoperative preparation,cardiomyocardial protection and multidisciplinary team cooperation during bridging transplantation,and intra-operative patient safety management.All 5 patients in this group successfully completed the surgery and were discharged.Pressure sores,wound infections,and other postoperative complications have not occurred.Postoperative cardiac function of 5 patients in this group were classified as New York Heart Association class Ⅰ～Ⅱ.The follow-up period for the 5 patients in this group ranged from 6 months to 6 years.The results of the most recent echocardiography follow-up showed that the left ventricular ejection fraction of all patients was all above 65％,with well prognosis.

Objective:To design a management system of internet of things(IoT)smart operation room based on business process reconstruction theory,and explore the application effect of that in improving management effectiveness for operation room.Methods:Aimed at the existing problems of key points in the management for operation room,the process was reconstructed on the basis of the original information system,relevant systems,workflows and standards of operation room of Fuwai Hospital of Medical Sciences and Peking Union Medical College.Then,a management system of IoT smart operation room based on business process reconstruction theory was designed.The surgical data of 13159 patients who underwent relevant operation of cardiovascular surgery from January to December 2022 were selected,and they were divided into"before-application"group(6 483 cases)and"after-application"group(6 676 cases)according to the point before and after the system was applied.Some indicators'data,which included scheduling management situation of picking up and dropping off patients by medical auxiliaries,duration of preparing anesthesia,duration of preoperative waiting,interval duration of continuous surgery and usage amount of surgical gowns under same amount of surgery,between two groups were compared.Results:The transportation efficiency of patients who underwent surgery after system was applied was(1.38±0.09)surgeries/h,which was higher than(0.99±0.09)surgeries/h before it was applied,and the difference was statistically significant(t=6.604,P<0.001).The satisfaction score of medical auxiliaries increased from 3.83(3.33,4.5)before application to 4.50(4.33,4.83)after application,and the difference was significant(Z=2.02,P<0.05).The duration of preparing anesthesia and duration of preoperative waiting after the system was applied were respectively(62.04±2.29)and(8.09±2.46)min,both of which were less than those before the system was applied,and the differences of them between two groups were statistically significant(t=2.309,2.280,P<0.05).The usage amount of surgical gowns under same amount of surgery after the system was applied was(4.11±0.57)gowns/surgery,which was less than(5.81±0.29)gowns/surgery before the system was applied,and the difference was statistically significant(t=6.489,P<0.05).Conclusion:The application of the management system of IoT smart operation room based on business process reconstruction theory can provide more safely,high-qualitatively and efficiently medical services for patients,and improve work efficiency and management effectiveness for operation room,and reduce resource consumption and operating cost.

Microsurgery techniques have allowed the development of many new therapeutic methods in plastic surgery, but are difficult to master without hard training. It is very important to set up a standardized microsurgery curriculum and training system for broadening surgical skills training and investigating the plastic surgery specialist training strategy. In our experiences, a series of training models are needed, like non-animal models, non- living animal models, live animal models and so on. This paper shows the training strategy for the primary stage of microsurgery training, non-animal model and non-living animal model training.

Microsurgery techniques have allowed the development of many new therapeutic methods in plastic surgery, but are difficult to master without hard training. It is very important to set up a standardized microsurgery curriculum and training system for broadening surgical skills training and investigating the plastic surgery specialist training strategy. In our experiences, a series of training models are needed, like non-animal models, non- living animal models, live animal models and so on. This paper shows the training strategy for the primary stage of microsurgery training, non-animal model and non-living animal model training.

Objective To explore the relation of stroke and metabolic syndrome (MS), and provide theoretical evidence for prevention of stroke and MS. Methods Five hundred stroke patients accompanied with MS were enrolled, and divided into different types according to the distribution of the components of metabolic syndrome and abnormal metabolic condition. The systolic blood pressure(SBP) ,diastolic blood pressure( DBP),fasting glycemia ( FPG ), triglycerides ( TG ), total cholesterol ( TC ), low density density lipoprotern-cholesterol (LDL-C), high density density lipoprotern-cholesterol (HDL-C)of each patient were detected and recorded. Results Among these stroke patients with MS, most patients were 60 - 69 years old ( 39.60% ), and there was no significant difference between two gender( P = 0. 545 ). Among each component of MS, hypertension was most related to MS;patients complicated with hypertension + hyperlipidemia + hyperglycemia were the most major proportion of stroke patients with MS(48. 00% ). Conclusion MS and its components are all risk factors for stroke,and the more complication the patients had,the more patients suffered from stroke with MS. Targeted interventions of different type of abnormal condition has important prevention effect on MS and stroke.

Objective To discuss the method and effect of large renal staghorn calculi by anatrophic nephrolithotomy (AN).Methods Fifty-two patients with large renal staghom calculi underwent AN.Bilateral renal calculi disease was present in 3 patients,so that a number of 55 procedures were operated.Preoperative evaluation included urinalysis,urine culture,renal function,and ultragound,CT,KUB and IVU.A flank incision was between the 11th and 12th ribs and the kidney was freed.After interrupted renal pedicle in situ hypothermia,the renal parenchyma incision was made along the avascular plane which is outside in the back of the kidney.The collecting system was opened.The calculi were removed.The collecting system was reconstructed.The renal parenchyma was closed and the renal circulation was reestablished.The protected management of renal function was made intraoperative.Postoperative follow-up consisted of urinalysis,renal function,ultrasound,KUB,IVU and ECT.Results The operative time was (117±45) minutes.The renal ischemia time WaS (29±15)minutes.Five cases underwent blood transfusion.Mean amount of blood transfusion was 230 ml.Four cases had remained calculi.The stone-free rate was 92.3%.No recent complication occurred after operation.Postoperative follow-up indicated that renal function was normal.Conclusions AN is the most appropriate method for patients with large renal staghorn calculi because of the highest stone-free rate,the lowest stone-recurred rate and a safe and effective operative procedure with less complication.Renal function damages just little through a series of protected management.Nephrectomy is avoided to part of patients.