Objective In the process of allocating medical resources, traditional triage methods often face problems such as low triage efficiency, inaccurate triage, and privacy leakage. The research aims to establish an intelligent triage model to improve the efficiency, accuracy, and privacy protection capabilities of triage. Methods A triage algorithm was designed by integrating principal component analysis and random forest algorithm, and a dual encryption hospital emergency triage model was constructed by introducing differential privacy and homomorphic encryption techniques. Results The triage algorithm designed in the study achieved convergence after the 4th and 17th iterations on two datasets, with fitting degrees of 96.8% and 98.4%, respectively. It outperformed other algorithms in terms of computational efficiency and triage accuracy. The average computation time of the research model is 0.43s, and the triage accuracy is higher than other triage models within the range of the total privacy protection budget value of (0.01-5). After Affiliated Hospital of Nanjing University of Chinese Medicine applying the emergency triage model in practical applications, the waiting time, triage accuracy, and readmission rate of patients were significantly reduced. The P-values of statistical tests were all less than 0.05, indicating that the model significantly improved the hospital's triage ability. Conclusion The model can efficiently and accurately complete triage while ensuring patient privacy, and improve the utilization of medical resources.

Objective With the implementation of the YY/T 1686-2020 standard and the continuous upgrading of artificial intelligence technologies, certain limitations have emerged in the content of YY/T 1686-2020. Specifically, the terminology within the standard can no longer comprehensively cover or accurately describe the structural components and characteristics of medical electrical equipment or systems utilizing robotic technologies currently available in the market. Consequently, there is a need for further refinement and supplementation of the terminology section. This article introduces the overview of the revised YY/T 1686 and the formulation of key technical indicators, aiming to address the inconsistent descriptions of critical technologies in the market and the misuse of terminology.Methods Through the analysis of key fundamental and technical terminology, a comparison of domestic and international standards, and a survey of existing products in China, we have strengthened our understanding and application of relevant terminology in medical electrical equipment or systems that employ robotic technologies.Results To meet market demands and promote industrial development, the industry standard YY/T 1686-2020 has been revised. The revised standard adds both basic general terminology and technical terminology, and incorporates performance-related terminology based on the functional characteristics of products in the market. In total, the revised standard includes 98 terms, spanning four major categories basic general terminology, technical terminology, structural components, and performance.

Objective To analyze the research status and hot spots in the field of medical consumables management by using knowledge graph, and to reveal the main research direction and trend through multidimensional data statistics. Methods Citespace and Vosviewer software were used to conduct visual analyses on the current state of medical consumables management, including annual publication volume, disciplinary publication volume, keyword clustering, publishing authors, and institutions. Results The selected literatures in the field of medical consumables management were visually analyzed. The analysis of the number of annual publications shows that there is an overall upward trend between 2014 and 2023, but there is a brief decline in the early 2020. Keyword frequency analysis shows that the frequency of words such as fine management, public hospitals, high-value medical consumables and information technology is higher. Keyword frequency analysis shows that medical consumables, fine management, high-value consumables, information and other words have a high frequency. Keyword correlation analysis reveals the importance of terms such as fine management and high-value consumables in optimizing consumables management and improving efficiency. Analysis of publishing authors indicates limited collaboration among researchers but reveals a core cooperation network, while institutional analysis shows a tight collaborative network centered around Shanghai First People's Hospital. Conclusion Based on Citespace and Vosviewer software, the research status in the field of medical consumables management was analyzed， and the research trends and trends in this field were fully revealed, providing profound insight and theoretical support for the development of future research directions.

Objective To improve the efficiency of hospital procurement funds, enhance the economic value, social benefits, and academic influence of large medical equipment configuration, reduce hospital operating costs and patient burden, achieve lean management of medical equipment procurement access, and promote high-quality development of hospitals. Methods Analyze the evaluation ideas and methods of equipment procurement access from four perspectives clinical, medical engineering, finance, and expert. Taking DSA equipment as an example, a three-level evaluation index system for equipment procurement access is constructed based on health economics. At the same time, effective methods and approaches such as on-site investigation, quantitative index grading, matter element model analysis, comprehensive evaluation scoring, and polynomial regression model are adopted to quantitatively and comprehensively analyze the evaluation indicators. Results Based on the construction and analysis of an evaluation system in health economics, this study aims to find a starting point and direction for the admission management of large-scale medical equipment procurement in hospitals, effectively reduce the risk of hospital procurement decisions, and curb the occurrence of misallocation of equipment procurement resources. Conclusion Provide an effective set of evaluation ideas, algorithms, and methods for the procurement and admission of large medical equipment, in order to provide some reference and inspiration for various public hospitals to standardize and do a good job in the procurement and admission management of large medical equipment.

Objective Build and improve the Microbial Laboratory Information Management System (MLIS), solve the problem of manual recording of operation processes by inspectors, and achieve paperless and information-based management of microbial laboratories. Methods Adopting a three-tier C/S architecture, using ORACLE database, NET Framework 4.0 development tool, C # programming language, and referring to CLSI, ISO15189, electronic medical record system application level grading evaluation standards, combined with the actual work needs of microbiological testing personnel, we have developed an MLIS suitable for the microbiological workflow of our hospital. Results MLIS has implemented a mechanism for recording and grading inspection information throughout the entire process of microbial specimen reception, smear preparation, inoculation, cultivation, drug sensitivity testing, and reporting. The average time for specimen reception, registration, and processing has been reduced by 81%. The smear reporting time and positive result reporting time were shortened by 75% and 30% respectively (P<0.01), and the grading reporting rate increased by 100%. Conclusion The clinical microbiological specimen management system has improved the efficiency of laboratory work. The electronic recording of the entire process of microbiological laboratory operations ensures the traceability and reliability of experimental results. The graded reporting mechanism effectively shortens the reporting time, which helps clinical diagnosis and timely targeted treatment, reduces waste of medical resources, and improves the overall level of medical services.

Objective To explore the utilization of process optimization Methods in improving the efficiency of patient care by optimizing the operational process of emergency enhanced CT patients.MethodThe service chain theory was applied to optimize the emergency enhanced CT process in the radiology department of the target hospital. A total of 503 patients who underwent emergency enhanced CT in our hospital were selected as samples and divided into a control group (144 cases, before process optimization) and an observation group (359 cases, after process optimization). The waiting times for examinations in the two groups were compared. Results After controlling for variables such as gender，age and examination site, the waiting time for patients to receive enhanced CT decreased from (1.38±0.93) h before optimization to (0.94±0.42) h after optimization (P=0.001). Patient satisfaction increased from 60.42% to 84.12% (χ2 =32.95, p<0.001).Conclusion The use of the service chain theory can continuously and effectively optimize the patient care process, shorten patient waiting times, and improve the efficiency of medical services. The key to homogenizing medical services across multiple campuses of a hospital lies in establishing a systematic management system.

Objective Tracheal intubation technique is an important means of emergency respiratory management, in order to avoid intubation errors that may cause injury to the patient, the study of electromagnetic localization detection method of tracheal intubation trajectory was carried out, aiming to improve the correctness and efficiency of tracheal intubation, and to cooperate with the study of automated tracheal intubation robot. Methods The correct and incorrect tracheal intubation curves are collected based on the electromagnetic position tracker and the human head and neck model, the curve data are processed and screened using MATLAB, the optimal paths of correct and incorrect tracheal intubation curves are calculated based on the DTW algorithm, and then the similarity between the optimal paths of correct and incorrect tracheal intubation curves and the detected curves are calculated using the DTW algorithm to determine whether this intubation operation is correct or not by comparing the similarity values. The similarity values were compared to determine whether the intubation operation was correct or not. Results The difference between the similarity values of 120 groups of intubation operations and the optimal paths of correct and incorrect is relatively significant, which can be used to determine whether the intubation operation is correct or not. 50 groups of curves were used to test the system, and the correct rate was 100%. Conclusion The tracheal intubation trajectory detection system can detect whether the intubation process is correct or not, assist the doctor's operation, improve the efficiency of intubation and avoid intubation errors and injuries, and is expected to be integrated with the tracheal intubation robot and expand to extend to the detection of gastric tube intubation and other uses, to promote the medical intelligence and telematics.

Objective To construct the clinical specific disease knowledge graph (KG) of stroke based on open medical KG and electronic medical record. Methods Using the Biomedical Informatics Ontology System and structured electronic medical records of stroke patients as knowledge sources, stroke basic glossary, patient feature glossary, stroke concept dictionary, stroke relationship triplet set, and stroke concept terminalogy set were constructed sequentially. The latter two were imported into the Neo4j database to form the stroke-specific disease KG. The KG representation was obtained by KG embedding model and compared among models of TransE, Rotate, and Analogy, etc. with link prediction and triplet classification as evaluation tasks. Additionally, two prediction tasks were designed to predict whether a patient’s hospital stay exceed 7 days or 14 days. Patient vectors were obtained using the skip-gram embedding algorithm, and the performance of these vectors was compared with patient vectors enriched by the knowledge graph in the prediction tasks. Results The established KG of stroke-specific diseases had 215,090 entities and 550,976 relation triplets. The RotatE model could better represent the established KG and showed higher representation performance than other reference models. Patient vectors enriched with the knowledge graph yielded better results in the prediction tasks. Conclusion Using publicly available medical KG combined with patient data, high-quality specialized disease KG can be rapidly constructed, which is expected to support clinical decision making, disease diagnosis, and personalized medicine.

Objective To explore the optimal combination of pre and post weight for applying adaptive statistical iterative reconstruction-V(ASIR-V) in cranial computed tomography(CT) examination. Methods 90 patients with cranial CT plain scanning were divided into group A, group B and group C by applying the random number table method, with 30 cases in each group. 20%, 30% and 40% pre-ASIR-V weight were preset before scanning in group A, group B and group C, respectively; after scanning in each group was completed, image reconstruction was performed with 50%, 60%, 70% and 80% post-ASIR-V weight, and the A5～A8 subgroup,B5～B8 subgroup and C5～C8 subgroup were obtained, respectively. The parameters related to the radiation dose of the three groups of scans, dose length product (DLP), volume CT dose index (CTDIvol), effective dose (ED) and signal to noise ratio (SNR) and contrast to noise ratio (CNR) of the images of each group were recorded respectively; the subjective evaluation of the images was carried out by a double-blind method by two diagnostic imaging physicians applying a 5-point scale. Results In terms of objective evaluation, while the weight of pre-ASIR-V was increasing, the ED was decreasing, and the two showed a linear negative correlation, the ED regression equation was Y=−0.33X+2.71(r2=0.918, P＜0.001);and the SNR value and CNR value among the subgroups of A5～A8, B5～B8, and C5～C8 all increased with the increase of the weight of post-ASIR-V, and the difference was statistically significant (P<0.001). In terms of subjective ratings, the three groups consistently showed a trend of increasing and then decreasing ratings, with subgroups A6, B7, and C7 each obtaining the highest ratings at the same level of pre-ASIR-V weight, while subgroup B7 had the highest subjective rating value of all subgroups. Conclusion At noise index of 3 and tube voltage of 120 KV, the use of 30% pre-ASIR-V weight and 70% post-ASIR-V weight for cranial CT reduces noise, improves image quality, and significantly reduces the radiation dose to the patient.

Objective In response to the need for accurate monitoring of respiratory function, this paper designs a respiratory monitoring device based on the thoracic impedance measurement method. Methods This paper designs a respiratory measurement device using the chest impedance measurement method, and designs its upper computer program. The hardware part makes full use of the digital and analog resources within the CY8C5888 system-on-chip to realize the chest impedance measurement on a single chip, which makes small size and wearable possible, and it combines with the off-chip Bluetooth module to realize wireless data transmission. The upper computer software is developed by LabVIEW, which can accept impedance data, filter the data, analyze the respiratory frequency and monitor the abnormal respiratory frequency; in which the respiratory frequency of the respiratory signal is measured by the dynamic differential threshold method, which can effectively adapt to the signal changes, and improve the accuracy and real-time detection. Results The respiratory monitoring system is small in size and can realize wearable measurement. The upper computer interface can display the respiratory frequency waveform, and after the actual verification of the human body, the average error between the measured respiratory frequency and the actual respiratory frequency is 2.8%, and the error is generally kept within the acceptable range and complies with the requirements of the technical indexes of respiratory rate in the “Multi-Parameter Monitor Calibration Regulations” of JJG 1163-2019, and it is able to real-time measurement and recording of respiratory signals and alarming of abnormal signals. It has been tested in practice and meets the set objectives. Conclusion The device can effectively adapt to signal changes and improve the accuracy and real-time detection. The miniature respiratory monitoring system designed in this paper is expected to be applied in the clinical field and provide more reliable monitoring data for medical personnel.

Objective This study is to explore the preclinical safety of nanosecond pulsed electric field (nsPEF) for breast ablation in goats. Methods The electrode needle connected to the nanosecond pulse tumor ablation system was used to ablate breast tissues. The blood biochemistry, ultrasound image of breast ablation site were detected before operation, after operation and during the follow-up period. Pathological changes of breast tissue were also compared. Results The nsPEF technique was successful in the ablation of breast in goats. No adverse reaction occurred during the operation and no muscle tremors or contractions were observed around the breast during ablation. Ultrasound examination found that the ablation effect was significant during the regular follow-up after the operation. There was no significant difference in blood examination before and after operation. The histopathology showed apoptosis and necrosis in the ablated region, and normal tissue morphology in the non-ablated region. Conclusion Nanosecond pulsed electric field technique is effective and safe in the normal breast tissue.

Objective To establish a clinical application evaluation method for multi center medical imaging equipment by building primary and secondary information platforms. Methods The clinical application data of medical imaging equipment is obtained through a secondary information platform. The raw data is desensitized using methods such as data collection, data governance, and indicator design. Through data space management and data space testing verification techniques, the desensitized data is transmitted to the primary information platform; The first level information platform designs analysis algorithms based on the clinical application evaluation criteria for medical imaging equipment to evaluate the clinical application of the equipment. Results A number of secondary information platforms transmit standardized data lists to the primary information platform through data space management technology, and is able to analyze and evaluate the reliability, availability, functional effect, equipment performance and operating efficiency of medical imaging equipment. Users can intuitively understand the clinical applicability evaluation results of various medical imaging equipment brands through the results displayed on the primary information platform. Taking PET/MR as an example, from the perspective of individual ratings, the reliability evaluation of A brand equipment is 99.69%, and the reliability evaluation of B brand equipment is 98.37%. As of the writing of this article, the reliability of A brand equipment is slightly higher than that of B brand equipment. Taking MRI as an example, the clinical application efficiency among the three brands in August 2024 was 0.61, 0.51, and 0.37, respectively. According to the rank sum test, there was no significant difference in the clinical application efficiency among the three brands of MRI.Conclusion The construction of clinical application evaluation of multi-platform medical imaging equipment can provide systematic technical solutions and platform-wise support for medical institutions to select and verify medical imaging equipment, can provide data support for promoting the quality improvement of domestic-made medical imaging equipment, and can provide research data and basic sharing service platform-wise support for establishing and improving standards and standardized systems on the reliability, clinical application verification and maintenance of our domestic-made medical imaging equipment.

Objective To explore how to establish a safe, reliable, and efficient hospital network security management system under the integrated online and offline medical service model, ensuring the continuity of medical services, the security of medical and health data, and the confidentiality of patient information. Methods By analyzing the characteristics of the online and offline integrated medical service model and the network security risks and challenges it brings, network security management strategies are formulated and a network security management system is built, based on laws, regulations and measures, drawing on existing cybersecurity theories and best practices, and considering the current development trends of network security technology. Results By constructing a hospital network security management system, which is a multi-layered defense system that integrates technology, management, and operation, we create a comprehensive prevention and control framework characterized by coordination among the four major systems of protection, monitoring, disposal and support, the ability to detect proactive security events has increased by 100% and the comprehensive cybersecurity rating remains consistently high (dynamic 100 points).Conclusion Building a comprehensive hospital network security management system is crucial to ensuring the success of the online and offline integrated medical service model. Through scientific planning and construction, a solid "network security barrier" can be built to ensure the continuity of medical services and the security of patient information, providing a high-speed, stable, reliable, and secure network environment for smart hospitals to achieve online and offline integrated medical services and high-quality hospital development.

Objective Analyze the reliability data of CT equipment in use, improve the theoretical framework of equipment reliability analysis and evaluation indicators, explore practical methods for equipment reliability evaluation, and provide practical reference solutions for performance comparison between different CT equipment. Methods According to the reliability theory, a performance comparison framework is established for the first two years of operation of the newly commissioned CT equipment. Based on the maintenance records provided by the equipment manufacturer, calculate the data related to reliability, maintainability, and supportability parameters in the maintenance work orders of a single CT equipment for the first two years of installation, and calculate each parameter indicator. Divide the three parameters of maintenance duration, fault duration, and maintenance interval into two groups based on the year after installation the first year and the second year, and conduct statistical difference analysis using two independent sample t-tests. Results (1) The reliability parameters of the equipment in the first year of operation, the second year, and the average of the first two years showed excellent performance in the following order first year of operation, average of the first two years, and second year of operation. (2) When conducting statistical analysis on maintenance duration, fault duration, and maintenance interval data, although the maintenance time and failure time increased numerically in the second year, the maintenance interval was shortened, but there was no significant difference in the parameters at the α=0.05 statistical significance level. Conclusion The overall operating status of CT equipment was relatively stable in the first two years after installation, but slightly decreased in the second year. Establish a maintenance data analysis and evaluation system to provide reference information for improving equipment reliability. Provide reference solutions for performance comparison between different CT devices, promote CT technology progress and industry standardization. Helps to standardize the use standards of CT equipment and jointly promote the continuous progress of CT technology.

Objective To conduct quality control testing on 327 DR equipment in Beijing, analyze the stability of the testing data, and enhance the level of DR quality control management. Methods Using the multifunctional dosimeter Unfors Raysafe X2, low contrast test card, spatial resolution test card, and other detection models, the universal and specialized detection items of DR equipment were tested using the detection methods specified in the WS 76-2020 standard, and the stability of equipment performance was analyzed using Minitab software. Results The qualification rate of 327 DR equipment quality control tests was 98.17%. The unqualified condition involved three performance indicators, namely the deviation between the light field and the four sides of the irradiation field, response uniformity, and useful beam deviation from perpendicularity. The quality control of most testing items were at level Ⅰ, and the quality control of deviation (large focus) of tube voltage indication was at level Ⅲ. Conclusion Through the stability analysis of the performance quality control test data of DR equipment, it is found that the tested equipment still has room for improvement in such important indicators as the deviation between the light field and the four sides of the irradiation field, response uniformity, useful beam deviation from perpendicularity and deviation (large focus) of tube voltage indication. The important results of this study can provide scientific basis and reasonable suggestions for the quality management of DR equipment, provide a guarantee basis for the stable operation of the equipment, and ensure the image diagnosis quality and radiation safety of DR equipment.

Objective To study and analyze the reliability level of imported and domestic high-end DR equipment in clinical operation using a reliability verification scheme. Methods Data such as maintenance and work logs of three DR equipment (two domestic and one imported) within a certain period were extracted. The reliability parameters, maintainability parameters, supportability parameters, availability, and core component status of the equipment were analyzed, and the performance test data and reliability level of the equipment were compared. Results The reliability parameters of Equipment A and B are good, and the availability parameters of both equipments are greater than 95%. The relative fault time of domestic Equipment C is relatively long, and its availability is in the range of 90% to 95%. The maintenance supportability parameters of domestic equipment perform better. The average maintenance time is 67% faster than that of imported equipment, and the maintenance support delay time is more than 100% lower. Conclusion Based on the basic method of reliability verification, analyzing the reliability level of DR equipment in the clinical use process can provide an objective evaluation of the long-term stability of equipment for medical institutions. The results indicate that domestically produced high-end equipment with shorter operation time does not have an average reliability performance and shows a large difference from mature imported high-end equipment.

Objective To depict the competitive landscape of scientific research in the field of tissue engineering and regenerative medicine through scientific data. Methods Academic papers in this field were retrieved from the Web of Science database, and the number of publications, the number of highly cited papers, and their proportions were compared between different countries globally and different cities within China to assess China's research strength in global competition and the research capabilities of various cities in China. Results From 2015 to 2024, a total of 128,127 papers were published globally. In terms of global competition, China (41,190 papers, 433 highly cited papers) and the United States (31,044 papers, 411 highly cited papers) lead the field in terms of publication volume and highly cited papers. China's compound annual growth rate (CAGR) of publications reached 9.0%, while the U.S. showed a declining trend. Nineteen institutions from China, including Shanghai Jiao Tong University, the Chinese Academy of Sciences, and Sichuan University, ranked among the top 30 globally in terms of publication volume, and 16 Chinese researchers, such as Xingdong Zhang, Xiumei Mo, and Jiang Chang, also ranked in the global top 30 for publication volume. In terms of domestic competition, Shanghai (6,840 papers, 98 highly cited papers) and Beijing (6,610 papers, 82 highly cited papers) significantly outperformed other cities in terms of both publication volume and highly cited papers. Both cities have multiple institutions and teams that have accumulated substantial research achievements. Other cities, including Guangzhou, Chengdu, Hangzhou, Wuhan, Nanjing, Xi'an, and Shenzhen, also published over 1,900 papers each. Conclusion China's research scale in the field of tissue engineering and regenerative medicine continues to expand, accumulating a large number of top-tier research results, with many institutions and teams ranking among the global leaders. Beijing and Shanghai demonstrate strong research output as national research hubs, while cities like Guangzhou, Chengdu, Hangzhou, Wuhan, Nanjing, Xi'an, and Shenzhen show notable activity as regional research centers.

Objective To explore the main path of technology development based on the patent citation network in the field of brain-computer interface. Methods This study constructed a patent citation network, and used the search path link count (SPLC) to calculate the traversal weight. Through two path search ways, global search and local search, the global main path, global key-route main path, local forward main path, local backward main path and local key-route main path in the field of brain-computer interface were analyzed to explore the technology development trajectory. Results There were 15,519 patent applications, including 140,691 patent citations; the number of patent applications increased year by year, and the technology development focused on neural stimulation and regulation technology, neural signal acquisition and processing technology, brain-computer interface hardware and other directions. The main path analysis showed that the technological theme was electrical stimulation as the core, emphasizing precise neural regulation and personalized treatment. The global main path had the largest number of patents, with 16 patents, including 2 technical routes, and the global key-route main path was consistent with the global main path; there were 14 patents on the local forward main path, including 1 technical route, and the local key-route main path was consistent with the local forward main path; there were 10 patents on the local backward main path, including 1 technical route. Conclusion This study analyzes the patent main paths in the field of brain-computer interface, identifies the technology development trajectory, and provides information support for the research and development from the perspective of information science.

Objective To solve the problems of complicated wiring and poor mobility of traditional wired monitor and improve the efficiency of medical care and patient satisfaction. Methods In this paper, the interoperability of hospital monitors was realized based on starflash technology. By connecting the starflash module to the monitor, and then deploying it in the ward, and analyzing the data transmitted by starflash, the management and connectivity of hospital monitors were realized, and the monitoring indicators of patients could be viewed remotely. Results After deploying 20 stroboscopic base stations in the hospital, the comparison was carried out for three months. The application results showed that the stroboscopic technology could support a variety of bandwidth such as 1M/2M/4M/12M, the average data delay was 3.2 milliseconds, the packet loss rate was less than 1% under high interference environment, and it showed good characteristics in terms of real-time, number of concurrent, anti-interference and security. At the same time, the hospital's patient satisfaction has also been improved, the number of patients tripping because of the monitor is 0, and the medical efficiency has increased by 40%. Conclusion The application of starflash technology in the monitor solves the limitations of the monitor and improves the efficiency and quality of medical monitoring, which is of great significance.

Objective To reveal the research trends and hot topics in the field of imaging diagnosis of arteriosclerosis by conducting a bibliometric analysis on the previous literature. Methods Literature related to the imaging diagnosis of arteriosclerosis from 2014 to 2024 was retrieved from the PubMed database using a topic search method. The R package "bibliometrix" is used for subsequent data analysis and data visualization was completed on the Medpulse bibliometric analysis platform. Results In this search, a total of 1,177 documents were retrieved, with the number of publications peaking in 2021. In terms of influence, ZHAO XIHAI is a high-impact author; the ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI is a high-impact institution; and "ATHEROSCLEROSIS" is a high-impact journal. Regarding international collaboration, the United States leads in influence and scope in this field. Analysis of research hotspots shows that the keywords "atherosclerosis" and "magnetic resonance imaging" are central themes and key technologies, respectively, having a broad impact on the study of imaging diagnostics in atherosclerosis. Recent research focuses on the integration and innovation of different imaging techniques, increased attention to specific diseases, enhanced early diagnosis, and targeted treatment, all of which are prioritized by researchers. Conclusion This study systematically analyzes the research trends and hotspot changes in the imaging diagnostics of atherosclerosis over the past decade, providing researchers with references for understanding academic developments and selecting research directions.

Objective This paper aims to design a set of efficient and easy-to-use server ledger management system to cope with the problem of hospital data surge and information synchronization in the information age, improve the efficiency and accuracy of hospital operation and maintenance management, provide real-time and accurate data support for operation and maintenance teams, and promote the intelligent and efficient operation and maintenance work.Methods The system is B/S architecture, using Python3.11 and Django4.2 framework to realize the development and application of user management, server details, dictionary configuration, data Kanban and other modules. The database uses PostgreSQL15 and uses a browser for human-computer interaction.Results After the application of the system, the information difference between the relevant operation and maintenance personnel is eliminated, and the data is 0 delay and 100% synchronization is realized. The average ledger management time, data entry time and data error rate were all significantly reduced by 40% to 60%, and the differences were highly statistically significant (P<0.001).Conclusion The development of the system has enhanced the refinement level of information management in our hospital, promoted the standardization and standardization of operation and maintenance work, enhanced the cooperation ability and response speed of the operation and maintenance team, and laid a solid technical foundation for improving the high-quality development of information technology in our hospital and high-quality medical services.

Objective This paper discusses the performance evaluation of patient tracking performance of surgical robots. We analyzes the sources of patient movement following deviation based on actual measurements analyse, and solve the measurement problem of this index. Methods We design a linear motion generating unit that can generate linear reciprocating motion, simulate patient movement, and use a non-contact spatial position measurement device to simultaneously collect the spatial coordinates of the motion generating unit and the robotic arm. We analyze the movement following deviation of the robotic arm in different vector directions during the following process. Results The measurement and analysis of patient follow-up performance are achieved. Conclusions The design of the experimental plan could fully simulate the clinical application status, and the measurement of this indicator should simultaneously pay attention to changes in the direction of movement, position of non-movement direction, and posture.

Objective To understand the current status of usability testing of medical surgical robots in China, to explore the common perceptions of enterprises, clinical practitioners, and testing agencies regarding the usability testing of surgical robots, and to compare the differences in their needs and concerns regarding usability testing. This aims to provide reference for the formulation of usability testing standards. Methods According to the general requirements of medical device regulation on usability, questionnaires were designed, distributed, and collected based on factors such as usability testing needs and experimental processes. Data were analyzed using Excel software, focusing on the differences and consensus revealed by common questions among different respondents regarding the usability of different types of surgical robots. Results Analysis of the 60 collected questionnaires revealed that all respondents emphasized the fundamental role of surgical instruments and the necessity of simulating the surgical environment, identifying the completion rate of surgical tasks as a key objective indicator. There were significant differences in the usability testing of different types of surgical robots in terms of auxiliary equipment needs, the role of auxiliary equipment, and key objective indicators, with variations in experimental design. Conclusion This study investigated the current status of usability testing of medical surgical robots in China and revealed, through multi-level analysis, the common perceptions of different respondents and the specific needs of various types of surgical robots in testing. It provides scientific evidence for the formulation of unified testing standards and helps promote the application and development of surgical robots in the medical field.

Telemedicine has become a new medical model for medical dialogue between patients with diabetes foot ulcer and medical staff with its advantages of being free from time and space constraints, two-way feedback and sharing of data, etc. With the rapid development of wearable devices, big data, artificial intelligence and other technologies, a new wave of telemedicine development has been set off, which shows unique advantages in monitoring and management of diabetes foot ulcers. However, due to technological limitations, information data leakage, and insufficient policy support, there is still a gap between the application practice and clinical promotion of telemedicine. This paper expounds the concept of telemedicine, and summarizes the application form of telemedicine in the monitoring and management of diabetes foot ulcer patients, the acceptance of telemedicine by diabetes foot ulcer patients and their stakeholders, analyzes the shortcomings and challenges in its promotion, and puts forward prospects and thinking, which provides reference and reference for the clinical research of telemedicine in diabetes foot ulcer patients, so as to relieve the huge pressure on resource allocation and operation management of the medical system.

The application of artificial intelligence has improved the complex problems faced by breast cancer patients in breast reconstruction, such as high surgical precision requirements, insufficient risk prediction management, and doctor-patient remote rehabilitation guidance, thereby improving the quality of life and satisfaction of patients, reducing the burden on medical staff, and promoting the progress of clinical medical technology. This article summarizes the overview of artificial intelligence in breast reconstruction, summarizes its application status in breast reconstruction of breast cancer patients, and summarizes the current challenges and shortcomings, aiming to provide new ideas and references for the clinical application of artificial intelligence in breast reconstruction in the future.

Objective By analyzing the protective effects of lead screens with different lead equivalents on different types of medical diagnostic X-ray machines, guidance is provided for medical personnel and accompanying personnel to choose appropriate lead screens. Methods The Monte Carlo method was used to simulate the X-ray energy spectrum at a tube voltage of 50-140kV, a total filtration thickness of 0.5-5mm (Al), and an anode angle of 12°. Using this as the source term, simulate the normalized dose rate and attenuation multiple of lead screens after X-ray shielding, and evaluate the actual protective effect of different lead equivalent lead screens on different X-ray machines through experimental measurements. Results The attenuation factor of lead screens increases with the increase of lead equivalent, and significantly increases when it exceeds 1.5mmPb. A 1mm Pb lead screen can effectively shield the X-rays generated by a 60kV X-ray machine with a tube voltage; When the tube voltage is 100kV, the machine head requires 1.6mmPb, 2mm Pb, and 0.5mmPb in the 00, 900, and -900 directions respectively, which can reduce the dose rate at 1 meter to below 1µSv/h; If the distance between the machine head and the lead screen is more than 3 meters, a 1mm Pb lead screen can reduce the dose rate of the machine head to below 1µSv/h at a distance of 1 meter in any direction. Conclusion The tube voltage, filter thickness, lead equivalent of the lead screen, and protection distance of the X-ray machine are important factors affecting the protective effect of the lead screen. 1mmPb lead screen could effectively shields X-ray machines with tube voltage settings below 60KV, such as dental X-ray machines. For X-ray machines, such as DSA, oral CT and mobile C-arm with tube voltage settings below 100KV, a 2.2mmPb lead screen can be selected at a distance of 0.5m from the machine head, and a 2mmPb lead screen can be selected at a distance of 1m to avoid the primary radiation. X-ray machines with DR, CT and other tube voltages set above 140KV should focus on distance protection.

Objective To evaluate the clinical effect of different drug-coated balloon (DCB) in percutaneous coronary drug balloon angioplasty, and to provide data reference for selection and procurement, and ultimately benefit patients. Methods The clinical data and follow-up data within 1 year of hospitalized patients who underwent percutaneous coronary drug balloon angioplasty in a tertiary hospital from January 2021 to November 2022 were retrospectively analyzed. Patients were divided into four groups according to the brand of DCB ① Control product SeQuent Please DCB (Braun, Melsungen, Germany), ② Product A, ③ product B, and ④ Product C. The primary outcome of target lesion revascularization (TLR) at 12 months and the secondary outcomes of 30-day unplanned readmission, rescue stent implantation, and abnormal myocardial enzymes were compared among the four groups. Results A total of 693 patients were enrolled, including 142 patients using control product, 170 patients using product A, 250 patients using product B, and 131 patients using product C. Compared with the control group, product A (OR=3.43, 95%CI 1.39-8.45, P=0.007), product B (OR=2.45, 95%CI 1.01-5.91, P=0.047), product C (OR=2.88, 95%CI 1.12-7.37, P=0.028) had a statistically significant impact on TLR at 12 months. Product A (OR=10.71, 95%CI 1.32-87.20, P=0.027) had a statistically significant effect on 30-day unplanned readmission. Compared with the control group, the effects of the three products on rescue stent implantation and myocardial enzyme spectrum abnormalities were not statistically significant (P>0.05). Conclusion Products A, B and C may increase the risk of TLR at 12 months. Product A may increase the risk of unplanned readmission within 30 days. We continue to support the mainstream view that DCB has no class effect, and emphasize the importance of head-to-head comparison of different DCB in the whole life cycle, so as to better ensure patient safety and treatment effect.

Objective Based on the principle of remote ischemic preconditioning (RIPC), this study aims to develop a device for the prevention of postoperative delirium (POD). Methods Following the standards for medical devices and the RIPC principle, a prototype was developed, consisting mainly of a main unit and a cuff. The cuff, combined with the internal air pump and solenoid valve of the main unit, forms a cuff-based pressurization and occlusion device to implement remote ischemic preconditioning training. The screen communicates with the control module via serial communication, allowing users to start and stop the training, as well as query and save training information. After the prototype was completed, its performance was tested for pressure control accuracy, blood pressure measurement accuracy, airtightness, and electrical safety. Results The pressure error of the prototype was within ±5 mmHg, with no significant differences in systolic and diastolic blood pressure measurements compared to those obtained with a Panasonic blood pressure monitor (p > 0.05). The device demonstrated rapid response, good airtightness, noise levels below 60 dB, and electrical safety compliance with the GB9706.1-2020 standard. Conclusion The developed device is suitable for preventive training in patients with delirium-related cognitive disorders and provides a new approach for the prevention of postoperative delirium.

Objective To explore the development path of the medical device industry in Henan Province, and provide reference and guidance for its better development. Methods The SWOT analysis method is applied to identify the strengths, weaknesses, opportunities, and threats that affect the development of the medical device industry in Henan Province. 37 influencing factors are scored using a survey questionnaire scoring method, and statistical analysis and cross research are conducted on the survey data. Result The effective response rate of this questionnaire reached 93.3%, with high credibility (Cronbach's alpha coefficient value of 0.966, CITC value>0.4) and good validity (KMO test value of 0.933, factor loading coefficient>0.4). Among them, there was no significant difference in the scores of 32 factors (p>0.05), and 5 factors showed significant differences in scores due to the different cognition of the surveyors (p<0.05). Based on the analysis and the average score, 20 key influencing factors were identified and a SWOT strategic matrix for industrial development was constructed. Conclusion In response to the weak links in the development of the medical device industry in Henan Province, it is proposed to seize future market demand, vigorously develop advantageous devices such as medical consumables and rehabilitation equipment, and compete with industry advantage regions to form a "honeycomb effect". It is also suggested to build a highland of medical resources and stimulate innovation vitality through multi-party collaboration between medical and engineering fields.

Mandibular impacted third molars are a common and frequent disease in oral and maxillofacial surgery, and imaging examination is of great significance for its diagnosis and treatment. In recent years, breakthroughs have been made in the application of artificial intelligence in the field of stomatology, especially the AI based on deep learning can accurately identify and segment IMM3 and surrounding anatomical structures, which not only improves the efficiency of correct interpretation of oral images, but also provides doctors with a more intuitive and accurate basis for diagnosis and treatment. Therefore, this article reviews the application progress, existing challenges and future development directions of DL-based AI technology in the diagnosis and treatment of IMM3 in recent years, aiming to provide intelligent theoretical support and practical guidance for the diagnosis and treatment of IMM3.

Objective To establish a set of business standard index system for medical consumables, and to provide a standardized business element system and process node related to the centralized distribution of medical consumables for the procurement department of medical institutions. Through the establishment of a business standard index system for medical consumables, it can help medical institutions to evaluate and select appropriate partners, establish a compliant, rigorous and smooth business process, and ensure the stable and efficient supply of consumables. Methods Formulate the first draft of the business standard index system for medical consumables through literature inquiry and expert consultation, conduct questionnaire survey, and apply the Delphi method and hierarchical analysis method to determine the specific index content and weight to form the final results. Results A set of business standard index system for medical consumables has been established, including 7 first-level indicators and 24 second-level indicators. Conclusion The standard index system of medical consumables established in this study can prompt medical institutions and medical consumables distributors to improve and improve the compliance and timeliness of business process, and especially provide a reference for business process design, evaluation, supervision and improvement of the centralized distribution of medical consumables (SPD) management mode.

Objective To explore the method of detecting the circle of Willis of the neonatal mouse brain by three-dimensional(3-D) vascular ultrasound technology of small animals. Methods The C57B1 /6J neonatal mice with post-natal ages of 1day (n=6) and 7day (n=6) underwent ultrasound scan imaging with the MS-400 at a center frequency of 30MHz. Doppler imaging and 3-D vascular ultrasound of the entire mouse brain and non-invasively through the intact skull and skin were performed. And the end diastolic velocity (EDV), peak systolic velocity (PSV), resistive index (RI) and coefficient of variation (CV) were measured in the middle cerebral arteries (MCA) of neonatal mice. Results The transducers continuously scans downwards at a 45 degree angle by the anterior fontanelle approaches. By combining color Doppler vascular imaging with 3D reconstruction technology, the circle of Willis of newborn mice can be displayed in three dimensions; Consistent with the morphology and structure of the circle of Willis displayed by perfusion technique; The application of pulse Doppler can collect stable blood flow signals of MCA, the CV value was 1.9% to 7.9%，and there was no statistical difference in the cerebral blood flow velocities between the left and right MCA. Conclusion The application of small animal ultrasound system in three-dimensional vascular ultrasound non-invasive display of the structure of the circle of Willis in neonatal mice is feasible, and it can also detect stable blood flow parameters of the MCA. Our research provides an experimental basis for understanding the structure and function of the circle of Willis in living mice during postnatal development.

Objective To explore the practical process and application effects of Internet of Things technology in the construction of smart wards in hospitals. Methods By combining IoT technology with hospital information platforms, a smart ward IoT interaction and management platform will be constructed to achieve full scenario closed-loop management of ward nursing and efficient information exchange. Compare the evaluation of nursing quality management, operational efficiency, and patient satisfaction before and after the application of a certain ward system. Results After the application of the system, the overall score of nursing quality management evaluation was (90.30 ± 4.32), significantly lower than before the application (81.60 ± 7.88), and t=-3.062, P=0.008. The operational efficiency of the ward was significantly improved, with differences (P<0.05), and patient satisfaction increased by 9% (chi square 2=6.782, P=0.009). Conclusion On the basis of integrating various information resources, the application of smart wards can effectively improve nursing quality, enhance patient satisfaction, and address issues such as insufficient efficiency and safety in traditional models, providing reference for building a new era of smart wards.

Objective Optimized the management process of Phase I clinical trials and constructed the Phase I clinical trial management system that meet the requirements of national drug clinical trial quality management standards.Methods On the basis of thorough research and analysis the the business and management needs of the Phase I clinical trial at hospitals, development languages such as JAVA, HTML, CSS, and IntelliJ IDEA, Java JDK 1.8, and vsCode as development tools, based on the Spring Cloud Alibaba microservice technology framework were used and realized the full process information management of Phase I clinical trial project initiation, subject recruitment and screening, subject enrollment, subject hospitalization, subject visits, and trial project completion.Results Through the implication of the Phase I clinical trial management system based on hospital full process business collaboration, the work efficiency of the Phase I clinical trial ward has been significantly improved. The time required for subject screening, subject enrollment, subject hospitalization, subject visits and data traceability has been significantly reduced, and the difference is statistically significant (P<0.05); The data quality of Phase I clinical trials has been improved. Conclusion The system had achieved full process business collaboration, information sharing, and real-time information collection and recording in Phase I clinical trials. It had obvious advantages in terms of information sharing, intelligent management and reshaping of clinical trial processes, and achieved a dual improvement in the quality and work efficiency of Phase I clinical trials in hospitals.

Objective By analyzing patent information in the field of intelligent health care and medical treatment, this study aims to measure the technological innovation capability of the field and explore the development trend of new productivity in this area. Methods A total of 12,217 patents in the field of intelligent health care and medical treatment were obtained from the Patent Retrieval and Analysis System of the National Intellectual Property Administration. Statistical analysis was conducted on external information such as patent quantity and applicants. Co-occurrence network and BERTopic theme clustering methods were employed to deeply analyze the technological themes of patents and their evolutionary trends. Results The number of patent applications in the field of intelligent health care and medical treatment shows an exponential growth trend, with significant regional and typological differences among the first applicants. Key technologies are mainly concentrated in the fields of G16H (health informatics) and A61B (diagnosis; surgery; identification). Common themes include artificial intelligence systems, AI recognition, storage media, machine learning, recommendation models, cardiovascular intelligent diagnosis and treatment, and CT image processing. In terms of technological evolution, A61B has always occupied an important position throughout the development process, from the budding exploration period, steady growth period, rapid rise period to the period of innovative prosperity. The relevant patent themes continue to expand in breadth and depth, gradually penetrating from early clinical practice applications to multiple areas such as health management, disease prevention, and rehabilitation nursing. Conclusion The new productivity in the field of health care and medical treatment represented by artificial intelligence is gradually forming and accelerating its development. In the future, the development of the intelligent health care and medical treatment industry can be comprehensively promoted from multiple dimensions such as policy guidance, research investment, and talent reserves to achieve further innovation and upgrading of productivity in the health care and medical treatment field.

Objective To explore the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in distinguishing the nature of hyperintense liver masses in patobiliary phase (HBP), benign or malignant. Methods A retrospective analysis was conducted on the clinical data of 81 patients with hyperintense liver masses in HBP who were admitted to the hospital from January 2022 to February 2024. The nature of the mass was determined by biopsy or surgery, and DCE-MRI examination was performed before operation or biopsy. The maximum slope of decrease (MSD), positive enhancement integral (PEI), mean enhancement time (MET), and maximum slope of increase (MSI) were measured. MSD, PEI, MET, and MSI of different hyperintense liver masses in HBP were compared. The receiver operating characteristic (ROC) curve was used to evaluate the value of DCE-MRI in distinguishing the nature of hyperintense liver masses in HBP. Results There were a total of 98 lesions in 81 patients, including 46 malignant lesions and 52 benign lesions. PEI, MET, and MSI of patients with hyperintense benign lesions in HBP were higher than those of patients with malignant ones (P<0.05). DCE-MRI parameters (MSD, PEI, MET and MSI) of hyperintense malignant liver masses in HBP showed significant differences (P<0.05). For diagnosing the nature of hyperintense liver masses in HBP, the area under the curve (AUC) of PEI was the largest (0.985). The AUC of combined diagnosis was 0.719. In terms of diagnosing different types of malignant hyperintense masses in HBP, the AUC of MSI for diagnosing hepatocellular carcinoma was the largest (0.821). The AUC of MET for diagnosing intrahepatic cholangiocarcinoma was the largest (0.831). The AUC of MET for diagnosing hepatic vascular cancer was the largest (0.964). The AUC of MSI for diagnosing liver metastases was the largest. Conclusion DCE-MRI parameters are of high value in identifying the nature of hyperintense liver masses in HBP, especially PEI. Besides, these parameters have high diagnostic efficacy for different types of malignant hyperintense masses in HBP. Clinically, DCE-MRI parameters can be combined to distinguish benign and malignant hyperintense liver masses in HBP.

Objective Explore the impact of the centralized procurement policy of medical consumables on the cost structure of inpatient surgical patients. Methods Based on the data of inpatient surgery patients in Sichuan People's Hospital, independent T test and chi-square test were selected to analyze the basic situation of patients, and non-parametric methods were used to test the proportion of patient costs. The K-S test was used to analyze the distribution of consumption proportion. Results (1) After centralized procurement, the out-of-pocket amount of surgical patients was significantly reduced by 834.945 yuan, and the average daily hospitalization cost increased by 230.5 yuan, of which the average daily consumables fee, treatment fee and diagnosis fee increased significantly, and the average daily drug cost was significantly reduced. (2) After centralized procurement, the proportion of comprehensive medical service fees and drug costs decreased significantly, and the proportion of treatment expenses increased significantly. (3) By analyzing the distribution of expenditure ratio, it can be seen that after the policy was implemented, the expenditure ratio of patients undergoing level 1 and 2 surgeries significantly decreased, the probability of high expenditure ratio for patients undergoing level 3 and 4 surgeries was reduced, the structure of surgical patient expenses was significantly improved, the price difference between medical consumables was further narrowed, and the excessive price component in the medical consumables market was compressed. Conclusion The centralized procurement policy of medical consumables optimizes the cost structure of surgical patients, and hospitals can further improve the specialty pattern, improve the level of fine management of consumables, give full play to the guiding role of policies, and reduce the overall cost burden of patients.

Exploring the innovative application of new generation information technologies such as big data, artificial intelligence, the internet of Things, blockchain and virtual reality in medical equipment management, and analyzes the path and prospect of promoting the reform of medical equipment quality control mode and improving the quality management level of medical institutions. Based on the current situation and challenges of medical equipment quality control, this paper summarizes the application of new generation information technology in key links of medical equipment quality control, such as data acquisition, intelligent analysis, information traceability and simulation optimization, analyzes cases and looks forward to the trend. This paper analyzes the intelligent prediction and health management of medical equipment enabled by big data and artificial intelligence, the Internet of Things realizes the whole life cycle supervision, the blockchain improves the traceability and transparency of the supply chain, and virtual reality and augmented reality technologies optimize the design simulation and maintenance training level of medical equipment. Promote the reengineering and reform of quality management process in medical institutions. Drive the quality management of medical equipment to be intelligent, networked and refined. Medical institutions should strengthen cooperation, transform innovation achievements, establish traceability mechanism and co-governance system of quality and safety in the whole process, and improve safety guarantee ability.

Objective To study the impact of input data selection accuracy of queuing theory M/M/C model on the accuracy of predicting the reasonable configuration quantity of monitors under centralized management mode. MethodsEleven wards were selected as research subjects, and the duration of medical orders was extracted as the actual usage time of the monitor. According to the three methods of "merging 11 wards for calculation", "merging internal and external departments separately for calculation", and "independent calculation for each ward", establish a queuing theory M/M/C prediction model. Based on nursing requirements and the waiting time curve of the queuing system, infer the prediction interval of the number of monitors configured, and compare the difference between the predicted interval and the actual number of configurations under the three conditions. Results The predicted interval for the number of configurations in the "11 wards merged calculation" deviated the most from the actual number of configurations （Group 1，maximum difference of 7.84 units, minimum difference of 2.45). There was a small deviation between the predicted interval for the number of configurations and the actual number of configurations in the case of internal and external departments merged calculation (Group 2， maximum difference of 7.73 units, minimum difference of 2.27), Under the independent calculation of each ward, the deviation between the predicted interval of configuration quantity and the actual configuration quantity is minimal (Group 3，only 4 wards have differences, with a difference of 1 or 2 units), the difference is statistically significant (H=22.104, P<0.05). The deviation values of Group 1 were statistically significant compared to those of Group 2 and Group 3 (P<0.001), while there was no statistically significant difference between the deviation values of Group 2 and Group 3 (P=0.465). Conclusion The accuracy factor of input data selection has a certain impact on the prediction accuracy of the queuing system model. When using the queuing theory model to calculate the number of configurations, medical institutions should try to improve the accuracy of data selection, select input data according to the smallest ward unit, and combine the predicted results with the actual clinical situation to adjust the actual number of configurations and improve the rationality of configuration quantity.

Objective Taking online self-service as the starting point, we will promote a new model of hospital services in the context of digital transformation and explore optimization methods for admission processing. Methods Through four-layer architecture data transmission of software layer, service layer, function layer and scene layer, the unique identification of patients is used to obtain hospitalization status, and the self-service admission and admission service platform based on wechat public account is constructed. The average time required for each link before and after the platform is launched is selected to conduct empirical analysis on the application effect of the platform. Results The trial operation of inpatient services from August 2nd to September 19th recorded the admission process data of 111 patients and the discharge settlement data of 67 patients. The use of the intelligent outpatient service platform throughout the entire process of patients can save about 59.6 minutes. Moreover, the time required for patients to handle nonmedical processes before and after the launch of the T-test platform was significantly reduced, and patient satisfaction increased to an average of 99.11%, further promoting the collaboration and intelligence of hospital process management. Conclusion The intelligent outpatient and inpatient service platform has enabled the use of digitalization and intelligence to empower outpatient and inpatient services, allowing for "subtraction" in the medical process, effectively improving the patient's medical experience, and providing reference experience for strengthening convenient service measures.