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@#Objective To explore the feasibility of 5G remote robot-assisted pulmonary lobectomy through animal experiments. Methods In this research, the Toumai® surgical robot was manipulated remotely by the surgeon in the Control Center of the MedBot Company through the 5G network established by China Telecom, and the experimental pig underwent lobectomy in simulated operating room. Results The animal experiment surgery was successfully completed. The surgeon remotely manipulated the surgical robot to complete the lobectomy of right apical lobe and mediastinal lymph node dissection. The entire animal experiment took about 60 minutes, with an average round-trip network delay of 125 (110-155) ms, and no network interruption or robot malfunction occurred. Conclusion This animal experiment is the first attempt of 5G remote thoracic surgery, which preliminarily proves the feasibility of completing remote lobectomy through the Toumai® surgical robot 5G wireless network connection. The systematic surgical procedure is summarized, which lays a foundation for the subsequent experiments and clinical applications of 5G remote robot-assisted thoracic surgery.
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Medical homogenization in multi-campus hospital plays an essential role in leveraging the advantages of public hospitals, promoting the expansion of high-quality medical resources and balancing regional layout. The Second Affiliated Hospital Zhejiang University School of Medicine deeply used digital intelligence technology to build a new integrated mobile health service system consisting of internet hospital and 5G intelligent applications, which empowered medical efficiency in multi-campus hospital. This system broke the limitations of inconsistent medical resources, unbalanced discipline layout, and insufficient information connectivity in the construction of multi-campus hospitals, and achieved remarkable results in practice. It could provide reference for the multi-campus construction of other large public hospitals.
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Objective:To investigate the effect of radiofrequency radiation (RF) from 5G mobile phone communication frequency bands (3.5 GHz and 4.9 GHz) on the permeability of the blood-brain barrier (BBB) in mice.Methods:A total of 24 healthy adult male C57BL/6 mice (6-8 weeks old) were randomly divided into Sham, 3.5 GHz RF and 4.9 GHz RF groups, and 8 mice in each group. Mice in the RF groups were systemically exposed to 5G cell phone radiation for consecutive 35 d(1 h/d) with 50 W/m 2 power density. The BBB permeability of mice was detected by Evans Blue (EB) fluorescence experiment. The expression levels of the BBB tight junction-related proteins (ZO-1, occludin and claudin-11) and the gap junction-related protein Connexin 43 were determined by Western blot. Results:The number of spots, fluorescence intensity and comprehensive score of EB were significantly increased in 3.5 GHz RF group and 4.9 GHz RF group compared with the Sham group ( t=12.98, 17.82, P<0.001). Compared with the Sham group, the content of S100B in mouse serum was significantly increased in 3.5 GHz RF group and 4.9 GHz RF group ( t=19.34, 14.68, P<0.001). The BBB permeability was increased in the RF group. The expression level of occludin protein was significantly reduced in the 3.5 GHz RF group ( t=-3.13, P<0.05), and this decrease was much profound in the 4.9 GHz RF group ( t=-6.55, P<0.01). But the protein levels of ZO-1, Claudin-11 and Connexin 43 in the cerebral cortex of the RF groups had no significantly difference in comparison with the Sham group( P>0.05). Conclusions:The continuous exposure of mobile phone RF at 3.5 GHz or 4.9 GHz for 35 d (1 h/d) induces an increase of BBB permeability in the mouse cerebral cortex, perhaps by reducing the expression of occludin protein.
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OBJECTIVE@#To explore the application of extended reality (XR) technology in clinical surgeries for improving the success rate of surgeries.@*METHODS@#To assist the surgeons to better understand the location, size and geometric shape of the lesions and reduce potential radiation exposure in minimally invasive surgical navigation based on two-dimensional images, we constructed three-dimensional models based on CT data and used XR technology to achieve intraoperative navigation. An improved quaternion method was used to improve the accuracy of electromagnetic positioning, with which the system error of positioning accuracy was reduced to below 2 mm. A 5G network was used to optimize the server GPU programming algorithm, and real-time video stream coding strategy and network design were adopted to reduce data transmission jam and delay in the remote surgery network, which achieved an average delay of less than 60 ms. A Gaussian distribution deformation model was used to simulate collision detection and stress deformation of the tissues to achieve a tactile perception effect.@*RESULTS AND CONCLUSION@#The intraoperative navigation system based on XR technology allowed more accurate determination of the location of the lesions, effectively reduced the surgical risk, and avoided the risk of intraoperative radiation exposure. The low latency and high fidelity of 5G network achieved real-time interaction during the surgery to provide a technical basis for multi-terminal remote cooperative surgery. The combination of force feedback technology and XR technology enables the surgeons to conduct deep immersion preoperative planning and virtual surgery to improve the success rate of surgery and shorten the learning curve.
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Objective:To explore the value of 5G robotic remote ultrasound in the diagnosis of plateau pulmonary edema(HAPE).Methods:A total of 27 patients who quickly entered Nagqu, Tibet at an altitude of 4 600 m-5 600 m from March to December 2021 and developed one of the clinical symptoms of HAPE were collected. All patients were examined by 5G remote robotic ultrasound and lung CT respectively. Kappa test was used to analyze the consistency of the two diagnostic results, and McNemar test was used to compare the difference in diagnostic results. The ROC curve was used to analyze the sensitivity and specificity of remote lung ultrasound scores in the diagnosis of HAPE.Results:Among the 27 patients, 16 showed thickening of pleural line, increasing of B line, lung consolidation, pleural effusion, etc. Meanwhile, 11 showed no abnormality. Additionally, 8 cases had diffuse pulmonary fluid in both lungs, and 8 cases had localized pulmonary fluid. ROC curve showed that the area under the curve of lung ultrasound score for the diagnosis of HAPE was 0.947 (95% CI=0.78-0.99, P<0.001). The sensitivity and specificity were 0.933 and 0.917, respectively. Lung CT diagnosis was positive in 15 cases. Lung CT showed thickening of lung texture, ground glass, small nodular shadow, fine reticulate shadow, etc. The diagnostic results of the two techniques were in good agreement (Kappa=0.924, P<0.001), and there was no significant difference between the two methods ( P>0.05). Conclusions:5G remote robotic ultrasound has high consistency with CT in the diagnosis of HAPE and is an alternative early diagnosis method for HAPE. It may have clinical application value in scattered medical resources and remote plateau areas.
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Objective:To explore the value of 5G-based robotic remote ultrasound diagnosis system in musculoskeletal joint injuries.Methods:From March to December 2020, 58 volunteers at a training base who felt musculoskeletal pain or paresthesia were selected and performed both robotic remote ultrasound (remote ultrasound group) and conventional ultrasound (portable ultrasound group). The two types of examinations were compared, the consistency of the two diagnosis results was analyzed by the Kappa test, and the the difference of the diagnosis results was compared by McNemar test.Results:Among the 58 volunteers, 40 cases were positive by both methods and 11 volunteers had 2-3 positive results. There were 59 positive results in the remote ultrasound group and 64 positive results in the portable ultrasound group. The positive rate of the examination sites from high to low was knee joint>foot and ankle joint >hand and wrist joint >shoulder joint>elbow joint, calf and hip. The diagnosis results of the two groups were in good consistency (Kappa=0.782, P<0.001), and there was no statistically significant difference in the diagnosis results between the two groups (χ 2=3.2, P=0.063). Five more diseases with positive results were detected in the portable ultrasound group: 1 meniscus injury, 1 medial collateral ligament injury, 1 soft tissue injury around the metatarsal, 1 biceps tendinitis with effusion and 1 cubital ulnar nerve subluxation. Conclusions:The 5G-based robotic remote ultrasound system has good consistency with conventional ultrasound in the diagnosis of musculoskeletal injures. It can be applied to the ultrasound diagnosis of musculoskeletal joint injuries in remote areas.
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Objective:To explore the application effect of medical waste management system based on B/S architecture in medical waste disposal.Methods:Select a third-class hospital in Yantai for continuous quality improvement of medical waste disposal, and verify the feasibility of the medical waste management system through key indicators such as medical waste related theoretical knowledge, medical waste disposal efficiency, and medical waste disposal management process standardization rate. Through monitoring indicators and result feedback evaluation, it is judged whether the medical waste management system has positive significance for the improvement of medical waste disposal.Results:Taking the adoption of medical waste management system as the node, a five-month comparison before and after was conducted to monitor key indicators such as medical waste disposal efficiency and standardized rate of medical waste disposal management processes. The daily error rate of medical waste classification was reduced from 6.00% to 1.33%, the daily confusion rate of working procedures was reduced from 6.67% to 0.67%, the time delay rate of medical waste disposal was reduced from 7.33% to 2.00%, and the standardized rate of medical waste disposal management processes was increased from 93.33% to 100%. All the data were statistically significant ( P<0.05). Conclusions:Since the operation of the medical waste management system, through the top-down management and control of the administrator and with its unique time retrieval function, the time delay problem of the previous manual management has been greatly improved. The classification management function of medical waste solves the criticism of unclear and chaotic classification of medical waste. The department retrospective function enables the division of responsibilities for medical waste work to be clear, and improves the work efficiency. The construction of medical waste management system based on B/S architecture provided a new information approach for the scientific management of medical waste and a reference for the scientific and effective management of clinical medical waste.
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Objective:To explore the feasibility and safety of long-distance urological nephrotomy with the support of 5G communication technology by using the domestic robot.Methods:Clinical data of the patients with remote robot-assisted laparoscopic nephrectomy, which were completed from March to April 2021 by the Affiliated Hospital of Qingdao University (as the host hospital where the main operating system located) were retrospectively analyzed. There were 3 patients, including 2 males and 1 female.The average age was 61 (49-73) years, and the average body mass index was 23.73 (20.00-27.76) kg/m 2. One patient had a ASA classification of grade 2, and the other 2 patients had grade 3. All patients met the surgical criteria for non-functional nephrectomy. The chief surgeon who performing the telesurgery was located at the Affiliated Hospital of Qingdao University. The surgeon remotely controlled the bedside operating system (slave system) in 3 local hospitals located in other cities in Shandong Province (network communication distances of 82.5, 141 and 229 km, respectively) by manipulating the master system located in Qingdao. Images and operating instructions during surgery were transmitted using 5G wireless communication technology. Intraoperative network conditions, robot operation, and patient perioperative data were summarized. Results:All 3 tele-nephrectomies were successfully completed. The average network signal latency time was 27.3 (23-30) ms, with no packet loss, and the average total latency time was 177.3(173-180) ms. The mean resection time was 79.3 (52-111) min, and the average intraoperative blood loss was 31.1 (15.6-41.9) ml. There were no network related adverse events occurred during the operation, and the robot-related adverse events occured 3 times, all three of which were characterized by inconsistent master and slave movements of the manipulator arm and the bedside robotic arm. None of these adverse events affected the successful performance of the telesurgery. The mean postoperative exhaust time was 60.5 (38.5-78.0) h. The mean postoperative VAS score at 24 hours was 3.7 (3-4). The Clavien-Dindo classification were all grade I. No significant abnormality was found on the 30th day after surgery, and the patients recovered well at the follow-up until 6 months postoperatively.Conclusions:It is safe and feasible to perform remote robot-assisted laparoscopic nephrectomy based on 5G communication technology with no serious adverse events or surgical complications.However, the conclusion needs to be further verified by large sample and multi-center prospective study.
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Objective:To explore the new generation of intelligent ICU Unit based on 5G and artificial intelligence technology.Methods:This study was conducted at the Second Affiliated Hospital, Zhejiang University School of Medicine from May 2019 to August 2020. Based on a multidisciplinary team including medical, nursing, hospital management, clinical medical engineering, 5G technology, information technology, artificial intelligence technology, logistics service, etc, was assembled to intelligently design and reconstruct an intelligent ICU Unit of Emergency ICU.Results:Based on 5G technology, a new intelligent ICU unit environment was constructed to realize remote and high-speed interaction of multi-dimensional information in ICU, including intelligent assistance of remote monitoring, remote ward rounds, remote consultation and family visits. An intelligent hospital infection prevention and control system was established including automatic identification and alarm of hand hygiene and personal protection.Conclusions:The new generation of intelligent ICU unit combined with 5G and artificial intelligence technology has changed the mode of medical service for critically ill patients and improved the service level, which is worthy of further exploration and application.
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Phytosterolemia is a rare, severe autosomal recessive sterol storage disorder caused by homozygous or compound heterozygous mutations in one of the ABCG5 and/or ABCG8 adenosine triphosphate binding cassette (ABC) genes. The most prominent features of phytosterolemia are the significantly increased serum content of plant sterols. Present review focused on the laboratory diagnosis of phytosterolemia, briefly described the metabolism of phytosterols, and introduced the latest research progress on phytosterolemia diagnosis, its relationship with ASCVD and laboratory diagnostic methods (including the detection of serum concentrations of phytosterols, ABCG5/G8 gene mutation). We hope this article could improve readers′ awareness and attention on this disease.
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Telemedicine has seen rapid development all over the world due to the COVID-19 pandemic. Compared to other developed countries, the adoption of telemedicine has been sluggish in Japan. Most of the developed countries are focusing on the development of telemedicine as a national policy, which is why telemedicine is developing. Although telemedicine has been available in Japan for some time, it was only an adjunct to face-to-face treatment. However, due to the spread of COVID-19, the introduction of telemedicine is rapidly gaining momentum as regulations have been significantly eased to allow for initial consultations and new prescriptions other than those for on-demand use. This article compares the background and current status of telemedicine in Japan and other countries where telemedicine is making progress, and outlines the future prospects of telemedicine.
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Objective@#To analyze application fields of 5G communication technology in Corona Virus Disease 2019 (COVID-19) epidemic prevention and control, and build a 5G intelligent medical service system for COVID-19 epidemic prevention and control in China.@*Methods@#We collected and analyzed 5G technology application cases used in the fight against COVID-19 from December 2019 to February 2020: 5G + telemedicine application cases, 5G + negative pressure ambulance cases, 5G + remote monitoring cases, 5G + artificial intelligence cases, 5G + infrared thermography temperature detection cases, 5G + big data analysis cases for epidemic prevention and control.@*Results@#Through the analysis of 5G application cases in COVID-19 epidemic prevention and control, we found out the key elements of 5G intelligent medical service system in COVID-19 epidemic prevention and control. By optimizing and upgrading the internal service mode of the hospital, breaking the internal and external barriers, integrating internal and external resources, and strengthening 5G intelligent medical security, we can form a 5G intelligent medical service system for COVID-19 epidemic prevention and control, including application layer, technical service layer, network support layer and security system layer.@*Conclusion@#5G communication technology has the characteristics of faster speed, shorter time delay and denser capacity. In COVID-19 epidemic prevention and control work, it can further improve the efficiency of doctors' diagnosis, improve patients' medical experience, realize the remote sharing of high-quality medical resources and real-time information exchange, effectively block the spread of epidemic, alleviate the shortage of medical resources and medical staff, and make the epidemic prevention and control more efficient.
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Background: Beta thalassemia is the most common genetic disorder in India. Its trait, coinheritance and mutations vary from mild to severe condition, resulting in thalassemia minor (heterozygous), intermediate and major depending upon many factors. The objective of this study was to find out the prevalence rate and the carrier of beta thalassemia in population of Gujarat using molecular genetic analysis of beta thalassemia patients by targeted mutation assay (ARMS-PCR).Methods: A total 105 samples for beta thalassemia were analysed for IVS 1-5 (G→C) and CD 15 (G→A) mutations. These two common mutations of thalassemia in Gujarat were carried out using amplification refractory mutation system–polymerase chain reaction (ARMS-PCR) and gel electrophoresis method.Results: A total 105 samples referred to us for molecular genetic analysis. The occurrence of positive mutations of IVS 1-5 (G→C) and CD 15 (G→A) were found in 48 and 15 samples respectively. The rest were negatives.Conclusions: Present study concludes that the prevalence rate of Beta thalassemia was widespread among the Gujarat population. The identification of IVS 1-5 (G→C) and CD 15 (G→A) mutations was carried out. The analysis revealed that, mutational patterns of IVS 1-5 (G→C) was the most frequent among other mutations in Gujarat region.
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Trauma is an important cause of death in the world, and emergency treatment for severe trauma is a worldwide problem. With the integration of more artificial intelligence into the medical industry, the information platform of intelligent hospital should be established with the help of 5G era, so that patients can enjoy timely, convenient, safe and high-quality diagnosis and treatment services, and solve the problems of low medical work efficiency and lagging internal management mechanism of the hospital. At present, there are few reports on the combined application of serious trauma emergency system and 5G in China. The potential application of 5G in severe trauma treatment system was introduced in this paper.
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Objective@#To develop medical emergency support information system for large-scale social activities based on 5G communication technology to improve efficiency of emergency medical services.@*Methods@#The project was completed in Hangzhou, China, from March 2016 to September 2019. Based on the medical service of large social activities, five information terminals are constructed, including on-site mobile terminal, on-board first aid terminal, expert remote consultation terminal, hospital terminal, and command dispatch center. The system can realize the real-time communication of medical information, patient's vital signs, audio, picture and video information, and can also make intelligent scheduling decisions for patients.@*Results@#5G Emergency Medical information System for Large-scale Social Activities has been completed, which consists of three parts: command and control platform, on-site rescue platform, and evacuation support platform. The command and monitoring platform displays the information of on-site medical teams, ambulances, hospitals and experts through web pages, and realizes multi-party video communication at any time, as well as text, voice and image information of patients' current condition, so as to realize command, dispatch and display statistical summary information. On-site rescue terminal includes patient information input, video signal acquisition and physiological information acquisition equipment. It realizes multiple methods of patient information input, vital signs and physiological information acquisition, multi-angle video acquisition and transmission to the command center. The evacuation support platform includes vehicle emergency terminal, remote expert consultation terminal, hospital terminal and UAV system. Vehicle terminal can scan and transfer with on-site ambulance team, record physiological information during transit, and also acquire and transmit monitor, electrocardiogram and ultrasound information. Hospital terminals can obtain patient information at the first time and prepare for first-aid in hospital. The remote expert terminal can be dispatched by the command center and the hospital terminal, and can join the remote consultation at any time. Unmanned aerial vehicle (UAV) system can transfer medical material between any locations.@*Conclusions@#This system can guarantee the patients to be transported from the scene to the ambulance and finally to the hospital during the large-scale social activities. In the whole process, the information transmission and dispatching decision-making are initially realized, and the statistical report forms can be made. However, to fully exert its advantages, it still needs the support of the complete 5G network and continuous optimization in real scenarios.
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The advantages of 5G communication, including large bandwidth, low latency and wide connection, and rapid transmission, have proved to be vital in facilitating emergency medical rescue. On June 17th, 2019, an earthquake occurred in Channing, Yibin, Sichuan Province. Sichuan Provincial People’s Hospital initiated the Emergency Medical Rescue System for the rescue operation in the disastrous area. This was the first use of 5G emergency medical rescue worldwide. Remote consultations, injury assessments and helicopter transfers were carried out for the critical patients. Our rescue system have been effective and efficient in rapid responding, information transmission and the coordination of medical resources, which has led to the best possible medical decisions and treatments. However, there were challenges found in the application of this system: the stability of 5G signal, the optimization of the configuration of 5G ambulances, and the survival rate and self guarantee in the field. In conclusion, this practice of 5G emergency medical system provides a new paradigm and valuable experiences for the improvements in disaster rescue in China and worldwide.
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Objective@#To explore a new platform for pre-hospital and in-hospital emergency medical services based on a new generation of 5G communication technology, providing a basis for further improving the level of emergency medical services.@*Methods@#This study was conducted at the Second Affiliated Hospital of Zhejiang University School of Medicine from October 2017 to April 2019. Based on the latest requirements of emergency medical services at home and abroad, the cross-enterprise and multi-disciplinary technical forces were organized to build platform. Firstly, to determine the process of pre-hospital and in-hospital emergency medical services, various modules and technical routes were constructed under 5G conditions and individual technologies were tested one by one. Then they were gradually integrated into two platforms of ambulance and hospital emergency. Finally, the simulation test is carried out under the support of the whole 5G network.@*Results@#The pre-hospital and in-hospital emergency medical service platform based on 5G technology comprises of 5G ambulance, 5G panoramic VR real-time display system, 5G remote ultrasonic examination system, medical drone system, and 5G emergency command platform. 5G ambulance contains medical equipments such as multi-function monitor, ventilator, defibrillation monitor, portable B-ultrasound, high-definition remote video interactive system based on 5G network, VR immersive real-time panoramic experience system, and GPS positioning system. 5G panoramic VR real-time display system includes VR panoramic camera and VR glasses. The wearer with VR glasses can view the real-time situation on the ambulance, which makes a preliminary judgment on the patient's condition and provides rescue guidance. 5G remote ultrasonic examination system integrates robot technology, real-time remote control technology, and ultrasonic imaging technology. The specialist can control the movement of the ultrasonic probe set on the 5G ambulance by manipulating the mechanical arm. The patient's image and color super-picture can also be simultaneously returned to the specialist. The medical drone system enables the medical resources to be allocated in the shortest possible time through the 5G networked drones, so as to eliminate the delay caused by traffic congestion. 5G emergency command platform can integrate, transmit, and display data from multiple sources and forms through web pages in assistance of AI and internet of things.@*Conclusions@#The new platform for pre-hospital and in-hospital emergency medical services based on 5G technology can realize more fluent information exchange in pre-hospital and in-hospital, and realize the functions that are difficult to achieve under the previous network conditions.
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Trauma is an important cause of death in the world,and emergency treatment for severe trauma is a worldwide problem.With the integration of more artificial intelligence into the medical industry,the information platform of intelligent hospital should be established with the help of 5G era,so that patients can enjoy timely,convenient,safe and high-quality diagnosis and treatment services,and solve the problems of low medical work efficiency and lagging internal management mechanism of the hospital.At present,there are few reports on the combined application of serious trauma emergency system and 5G in China.The potential application of 5G in severe trauma treatment system was introduced in this paper.
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Objective To develop medical emergency support information system for large-scale social activities based on 5G communication technology to improve efficiency of emergency medical services.Methods The project was completed in Hangzhou,China,from March 2016 to September 2019.Based on the medical service of large social activities,five information terminals are constructed,including on-site mobile terminal,on-board first aid terminal,expert remote consultation terminal,hospital terminal,and command dispatch center.The system can realize the real-time communication of medical information,patient's vital signs,audio,picture and video information,and can also make intelligent scheduling decisions for patients.Results 5G Emergency Medical information System for Large-scale Social Activities has been completed,which consists of three parts:command and control platform,onsite rescue platform,and evacuation support platform.The command and monitoring platform displays the information of on-site medical teams,ambulances,hospitals and experts through web pages,and realizes multi-party video communication at any time,as well as text,voice and image information of patients' current condition,so as to realize command,dispatch and display statistical summary information.On-site rescue terminal includes patient information input,video signal acquisition and physiological information acquisition equipment.It realizes multiple methods of patient information input,vital signs and physiological information acquisition,multi-angle video acquisition and transmission to the command center.The evacuation support platform includes vehicle emergency terminal,remote expert consultation terminal,hospital terminal and UAV system.Vehicle terminal can scan and transfer with on-site ambulance team,record physiological information during transit,and also acquire and transmit monitor,electrocardiogram and ultrasound information.Hospital terminals can obtain patient information at the first time and prepare for first-aid in hospital.The remote expert terminal can be dispatched by the command center and the hospital terminal,and can join the remote consultation at any time.Unmanned aerial vehicle (UAV) system can transfer medical material between any locations.Conclusions This system can guarantee the patients to be transported from the scene to the ambulance and finally to the hospital during the large-scale social activities.In the whole process,the information transmission and dispatching decision-making are initially realized,and the statistical report forms can be made.However,to fully exert its advantages,it still needs the support of the complete 5G network and continuous optimization in real scenarios.
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The advantages of 5G communication,including large bandwidth,low latency and wide connection,and rapid transmission,have proved to be vital in facilitating emergency medical rescue.On June 17th,2019,an earthquake occurred in Channing,Yibin,Sichuan Province.Sichuan Provincial People's Hospital initiated the Emergency Medical Rescue System for the rescue operation in the disastrous area.This was the first use of 5G emergency medical rescue worldwide.Remote consultations,injury assessments and helicopter transfers were carried out for the critical patients.Our rescue system have been effective and efficient in rapid responding,information transmission and the coordination of medical resources,which has led to the best possible medical decisions and treatments.However,there were challenges found in the application of this system:the stability of 5G signal,the optimization of the configuration of 5G ambulances,and the survival rate and self guarantee in the field.In conclusion,this practice of 5G emergency medical system provides a new paradigm and valuable experiences for the improvements in disaster rescue in China and worldwide.