With the gradual implementation of the new smart city construction, the new smart city evaluation system centered on "people-oriented, benefiting the people and convenience, performance-oriented, and objective quantification" is also used as a national standard guide for smart city construction. The evaluation indicators are divided into subjective indicators and objective indicators. The subjective indicators emphasize the citizen experience and aim to focus on public satisfaction and social participation. The objective indicators focus on the status quo, development space, and development characteristics of the city, including 7 first-level standards. These include three effectiveness standards for people-benefiting services, precise governance, and ecological livability, which aim to objectively reflect the actual effects of smart city construction; four guiding standards for smart facilities, information resources, network security, and reform and innovation, which aim to discover the potential for urban development. As one of the important construction contents of smart city construction, smart medical care has also undergone significant upgrades with the guidance of the evaluation system, and the application of artificial intelligence and public security protection are important upgrades. This article explains the application and prospects of smart medical care from these two aspects.
- The role and status of AI+security in smart healthcare
From the point of view of the system structure, the construction of smart medical care is mainly the construction of three structural levels. The first is to carry out the diagnosis and treatment methods, medical technology, medical resource management, and medical information management system around the construction of medical informatization. Through the regional medical platform, drug management system, public health monitoring and early warning, medical public service and other nationally unified systems, information sharing between medical units at the same level, upper and lower levels, and even provincial and ministerial levels has been realized, and four-level medical information management at the provincial, city, and county levels has been realized. These information constructions mainly output the HIS electronic medical record system, PACS medical image management system, and HERP medical resource management system. Realize the management of personnel, property and property in the hospital, horizontally solve the four aspects of diagnosis and treatment, scientific research, emergency response, and public health services, and vertically solve the scientific coordination of patients, medical care, and resources. The second structural level among the three structural levels of the construction of smart medical care is the intelligent construction of medical resources. The intelligentization of medical resources revolves around the intelligent building of the medical unit, the intelligent transformation design of the medical technology of the inpatient department, the intelligent transformation design of the medical technology of the outpatient department, the perimeter protection design, the parking emergency passage management design, etc. The main solutions are around the medical grid, the weak current security intelligent design of the medical facility and equipment building area, and the introduction of traditional security entrance and exit control, video surveillance, perimeter protection, and fire emergency facility design, so as to solve the business needs of intelligent perception, collection, management, prevention and control of medical resources and medical incidents in the medical area. The third structural level of the three system structure levels of the construction of smart medical care is to carry out scene-oriented intelligent application construction around the service content of various medical units at the same level, such as pathology research, epidemic prevention and sanitation, diagnosis and treatment methods, remote consultation, and combination of medical and elderly care, through the first layer of informatization and the second layer of intelligent construction results. The construction mainly solves how to meet the needs of the service subjects of each medical unit at the same level, such as the relevant smart applications of "seeking efficiency from science and technology", such as ward rounds, outpatient guidance, cracking down on registered scalpers, solving hospital parking congestion, realizing refined management of high-value consumables, precise collection and storage of resources and materials, emergency linkage of public health events, and solving medical and health event resources. The development meets service applications such as dean, inpatient department, outpatient department, emergency department, pharmacy, medical equipment, intensive care, epidemiological investigation, integration of traditional Chinese and Western medicine, telemedicine, medical consortium, and medical community. Use service APPs, AR tags, QR codes, etc. that are popular with patients, family members, medical staff, and competent authorities to solve precision medicine Resource management and services. The three structural levels of the construction of smart medical care are in a step-by-step relationship. At present, most of the top three hospitals in the country have achieved the first level of informatization construction based on the 25% of the informatization part of the top three evaluation system. The percentages of information-based evaluations for tertiary hospitals are as follows:
At present, most of the tertiary hospitals have carried out some second-level intelligent construction. With the development of the infrastructure construction of each hospital, the intelligent construction is in full swing. Some hospitals with planned layout of intelligent medical care, such as Wuhan Tongji Hospital, Wuhan Union Hospital, the Fifth Affiliated Hospital of Guangzhou Medical University, and the First Affiliated Hospital of Sun Yat-sen University have carried out various forms of third-level intelligent application construction. For example, use the AI artificial intelligence face recognition algorithm to design a portrait library of key personnel in the hospital, and divide key personnel into supervision categories (illegal medical representatives, medical trustees, scalpers, and medical troublemakers), attention categories (high frequency and multiple medical needs), and service categories (regional medical care, chronic diseases). Face recognition early warning, trajectory tracing, human-vehicle association, trajectory research and judgment, and multi-track investigation. Using AI artificial intelligence for large-sample machine learning, it provides hospital video surveillance, hospital intelligent micro-traffic to ensure smooth and safe life passages, real-time supervision of ambulances, medical history information and clinical diagnosis and treatment, prescription optimization, etc. Using AI artificial intelligence to carry out drug delivery robots, non-contact temperature measurement, three-inquiry and seven-question digital diagnosis of hospital bed nursing can improve the speed, eliminate human-drug comparison errors, and reduce imaging diagnosis and treatment and dosage diagnosis errors. On the whole, AI artificial intelligence and security have become the standard configuration of the important echelon construction of smart medical care and an important productivity tool of the smart medical evaluation system.
- In-depth application of AI+security in smart medical care
In recent years, with the rapid development of big data, cloud computing, Internet of Things, mobile Internet and other technologies, all walks of life have become more and more demanding for networking, high-definition and intelligent security. At this stage, hospitals are no longer satisfied with the construction of "safe hospitals", but also pay more attention to requiring security to play more roles in responding to emergencies in medical and health incidents. Therefore, emerging demands such as emergency command, remote teaching, and remote visitation have emerged in the field of medical security, and corresponding personalized solutions have emerged as the times require. For example, network low-light high-definition surveillance cameras should be installed in registration halls, operating rooms and other places to achieve high-definition monitoring effects; for emergency rooms, ICU wards, parking lots and other places that need to be monitored 24 hours a day, network high-definition infrared low-light or even starry sky ultra-low-light cameras can be installed to facilitate night monitoring; registration windows, pharmacy windows, diagnosis and treatment windows and other areas where doctor-patient conflicts frequently occur are equipped with pickups and array microphones, which are convenient for evidence collection during the event and retrospect after the event. Not only that, relying on the hospital information system and security platform, in order to supervise and supervise the daily behavior of employees and reduce the efficiency of the financial system, the attendance system can also be launched; considering the reality of traffic congestion, difficulty in parking, and difficulty in picking up cars in cities, especially large and medium-sized cities, the traditional manual vehicle management model is obviously unable to meet management needs. In view of this, the parking lot management system can be launched, which can not only solve self-service payment, parking guide, reverse car search, but also significantly improve work efficiency under the premise of the unique vehicle detector, entrance and exit capture and anti-collision barrier construction to ensure safety and guard; It is obviously unrealistic to settle once and for all, which requires the deployment of an information release system. Through the timely transmission of various graphic and text information, while significantly improving work efficiency, it not only saves the labor cost of the guidance desk, but also reduces the risk of conflicts between doctors and patients; when encountering sudden, urgent or major events, word of mouth transmission is not only extremely inefficient but also easy to deepen misunderstandings and intensify conflicts. By deploying the broadcasting system, it is possible to inform medical staff and patients of the actual situation at the critical moment, deploy solutions, and reduce the risk of conflicts, thereby avoiding extreme events such as stampedes. Furthermore, the traditional monitoring room is not only small in space, but also has low definition of monitoring screens and few monitoring images, making it difficult to undertake increasingly heavy security tasks. In view of this, the deployment of high-definition large-screen control system is the general trend. Flexible deployment through LCD splicing screens and LED small-pitch screens , not only high-definition, the monitoring screen can be cut and retrieved arbitrarily, but also it is convenient for the superior leader to command on the spot in the event of an emergency, which improves work efficiency and significantly reduces security risks. Looking to the future, personalization, intelligence and intensification are the general trend for the medical security industry. With the rise of "smart medical care", patients can use the medical big data platform to receive medical diagnosis conveniently and even stay at home. With the deepening of applications, the extension of medical services such as remote clinical education, remote nursing, remote surgery, remote consultation, and remote visitation will become increasingly popular and gradually become a routine method. These not only promote the improvement and sharing of medical care, but also allow more patients to benefit from the benefits of high technology. New intelligent technologies represented by face recognition, RFID, intelligent analysis, etc. will further enhance the overall level of medical informatization. As another representative of intelligence, RFID will also play an important role in the future. Entering the operation process control through RFID can effectively reduce medical errors such as prescribing the wrong patient and the wrong part, and avoid human error. Attaching RFID tags to medical and health materials and equipment through RFID can quickly read information on equipment and medical and health consumables, keep track of inventory and expiration dates, and prevent problems such as insufficient or expired drug inventory. By wearing RFID tags on patients, whether in the clinic or during hospitalization, patients can be identified through relevant reading devices, so as to match the corresponding medical and sanitary materials, effectively reduce drug administration errors, dosage errors and other problems, and improve patient medication safety. At the same time, by wearing RFID tags for babies, it also has a huge effect on the management of the delivery room and the prevention of baby theft. The new intelligent technology represented by intelligent video analysis will also play an important role in the future. By intelligently analyzing the photos sent back by video surveillance cameras, it provides basis and various analysis management for hospital process optimization and regional crowd control. In addition, through perimeter anti-intrusion detection, object disappearance detection, fall detection, running detection, etc., it helps security personnel improve work efficiency and problem response speed. More patients benefit from the benefits of high technology. New intelligent technologies represented by face recognition, RFID, intelligent analysis, etc. will further enhance the overall level of medical informatization. As another representative of intelligence, RFID will also play an important role in the future. Entering the operation process control through RFID can effectively reduce medical errors such as prescribing the wrong patient and the wrong part, and avoid human error. Attaching RFID tags to medical and health materials and equipment through RFID can quickly read information on equipment and medical and health consumables, keep track of inventory and expiration dates, and prevent problems such as insufficient or expired drug inventory. By wearing RFID tags on patients, whether in the clinic or during hospitalization, patients can be identified through relevant reading devices, so as to match the corresponding medical and sanitary materials, effectively reduce drug administration errors, dosage errors and other problems, and improve patient medication safety. At the same time, by wearing RFID tags for babies, it also has a huge effect on the management of the delivery room and the prevention of baby theft. The new intelligent technology represented by intelligent video analysis will also play an important role in the future. By intelligently analyzing the photos sent back by video surveillance cameras, it provides basis and various analysis management for hospital process optimization and regional crowd control. In addition, through perimeter anti-intrusion detection, object disappearance detection, fall detection, running detection, etc., it helps security personnel improve work efficiency and problem response speed. More patients benefit from the benefits of high technology. New intelligent technologies represented by face recognition, RFID, intelligent analysis, etc. will further enhance the overall level of medical informatization. As another representative of intelligence, RFID will also play an important role in the future. Entering the operation process control through RFID can effectively reduce medical errors such as prescribing the wrong patient and the wrong part, and avoid human error. Attaching RFID tags to medical and health materials and equipment through RFID can quickly read information on equipment and medical and health consumables, keep track of inventory and expiration dates, and prevent problems such as insufficient or expired drug inventory. By wearing RFID tags on patients, whether in the clinic or during hospitalization, patients can be identified through relevant reading devices, so as to match the corresponding medical and sanitary materials, effectively reduce drug administration errors, dosage errors and other problems, and improve patient medication safety. At the same time, by wearing RFID tags for babies, it also has a huge effect on the management of the delivery room and the prevention of baby theft. The new intelligent technology represented by intelligent video analysis will also play an important role in the future. By intelligently analyzing the photos sent back by video surveillance cameras, it provides basis and various analysis management for hospital process optimization and regional crowd control. In addition, through perimeter anti-intrusion detection, object disappearance detection, fall detection, running detection, etc., it helps security personnel improve work efficiency and problem response speed.
- Application case analysis of AI + security in smart medical care
The author uses several smart medical applications personally experienced in the hospital to share and analyze how AI+security serves the smart medical care of the hospital. The author's hospital, the Fifth Affiliated Hospital of Guangzhou Medical University, was founded in 1957 In 1999, it was the earliest and largest tertiary general hospital and baby-friendly hospital in Huangpu District. Our hospital has introduced AI service robots and hospital intelligent distribution robots in the newly delivered clinical teaching complex, which not only reduces the input of medical and nursing resources through AI service robots, but more importantly, on the basis of saving medical and nursing workload, it focuses more on patients, reduces drug delivery errors, reduces hospital infections, optimizes logistics management, and improves the overall management and operation level of the hospital. According to the application of cutting-edge technologies such as high-precision positioning, path planning, dispatching system, intelligent vision, and human-computer interaction, AI intelligent distribution robots can realize large-scale, cross-floor overall delivery of various items in hospitals. After the medical staff issues an order on the client terminal, the allocation system will optimally allocate resources based on the order data, and carry out multi-machine assisted distribution. The intelligent delivery robot analyzes the order data and executes the delivery task, and feeds back the progress to the dispatching system in real time. After delivery, medical staff can pick up the items through face recognition, fingerprints or card unlocking. This greatly optimizes the hospital logistics logistics distribution system, improves the efficiency of hospital material distribution and medical services, and saves the operation, management and labor costs of the hospital medical system. One of the important contents of smart medical care, intelligent logistics distribution is an important part of the implementation of smart medical care in hospitals. At present, the existing logistics system of the hospital is still inefficient and costly. The birth and application of AI distribution robots just solved this difficulty and opened up the "last mile" of hospital logistics distribution. AI distribution robots are not just a simple collection of equipment and technologies, but apply advanced navigation, communication and information processing technologies to all aspects of the closed-loop management of material transportation such as surgical instruments, medicines, clothing, and medical waste, including real-time positioning and monitoring, real-time data collection and scanning, and real-time item handover management. Track management. AI will carry out in-depth application with hospitals in the fields of indoor and outdoor intelligent distribution robots, cleaning robots, bed-moving robots, surgical robots, etc., to promote the hospital to achieve a deeper level of intelligent construction, and become a benchmark for hospital intelligent construction. Judging from the results of use in the past year, modern hospital logistics includes four types: intelligent distribution robots, pneumatic logistics, box logistics, and rail trolley logistics. Each method has its own advantages and disadvantages. The reason why the logistics upgrade of the Fifth Affiliated Hospital of Guangzhou Medical University gave priority to intelligent logistics robots is because compared with other logistics upgrade methods, intelligent distribution robots have certain advantages in application range and transportation efficiency. More importantly, the introduction of robots as a logistics upgrade For hospitals, there is almost no need for building renovation costs, and it is more suitable for hospitals to make gradual investment. Since the introduction of AI service robots, they have been operating at almost full capacity, which shows that medical staff have a relatively large demand for automated logistics transmission. After solving the basic distribution needs, how to use authority management, data analysis and other functions to further optimize the logistics management level of the hospital is the greater value of the overall solution of robot intelligent distribution. The picture below is a glimpse of the operation of the AI service robot.
Using the face recognition algorithm of AI artificial intelligence, design the portrait library of key personnel in the hospital, and divide the key personnel into supervision categories (illegal medical representatives, medical trustees, scalpers, and medical troublemakers), attention categories (high-frequency and multiple medical needs), and service categories (regional medical care, chronic diseases). Face recognition early warning, trace trajectory, human-vehicle association, trajectory research and judgment, and multi-track inspection. Using the above-mentioned AI face recognition system of the Fifth Affiliated Hospital of Guangzhou Medical University to solve some of the problems of "difficulty in seeking medical treatment" from the "rectification of number traffickers" as an entry point is definitely a pain that can no longer be painful. In fact, from a technical perspective, for most AI face recognition technology companies, it is not difficult to make applications based on static and dynamic image recognition algorithms. After entering the headshot information of the relevant person in advance, once the person is found again by the AI face recognition monitoring probe installed in the corner of the corridor, the system can immediately identify and issue an alarm after making a comparison. Probably the only difference is that the common AI security deployment scenarios such as public roads, train stations, and residential areas are replaced by hospitals. This is essentially the same as many core AI security application scenarios, and hospitals also belong to the field of public security. Therefore, AI security tracking traffickers is equivalent to monitoring key personnel in the public security scene. This means that, in addition to "number traffickers", face recognition can also help solve "medical trouble" and "recognition of medical care fraud (medical scammers, such as abducting people to small clinics to see a doctor)". A colleague from the security department of our hospital said, “Things like someone coming to the hospital to make trouble today may come again in a few days. However, if this person enters the “blacklist” of the hospital’s face information database for the first time, he may be closely monitored by the security guards when he appears the second time. As long as he is photographed at the entrance and exit, the system will immediately alert the security guards.” Similarly, since number traffickers can be caught, the “three stops” (airport, train station, bus station, and subway station), which are already in the key monitoring areas of the public security, can also allow ticket traffickers to taste human faces. Identify system pain points. "The deployment of probes in these areas is actually very complete. As long as there is a database that can be compared, there is no problem in catching ticket dealers." The focus and difficulty of this similar application is not at the technical level, but in the definition of the identities of various traffickers. Many public security projects have their own key monitoring personnel database, such as the national database of fugitive criminals, etc. The entry of these raw data is the most important; The information of multiple name traffickers is the most important. The difficulty lies in how to judge that these people are traffickers. In other words, building a proprietary database is the key. On the one hand, hospitals need to provide and judge relevant information, and cooperate with the public security to obtain valid data accurately; on the other hand, patients also need to actively cooperate and provide information on traffickers. Only when the data is continuously updated and supplemented can the system continue to function. When the new crown pneumonia is sweeping the world, AI face recognition is also being upgraded, such as mask wearing recognition, superimposed behavior recognition, and ReID pedestrian re-identification. In addition to providing video surveillance, the AI+ security solution also integrates systems such as face recognition, access control, one-card, and parking lot management. It has only one purpose, which is to visually monitor and manage all personnel, vehicles, and key areas (large-scale operating equipment storage and contraband warehouses) entering and leaving the hospital. However, despite the internal management and public safety of the hospital, the AI face recognition system can play a role. But beyond the application scope of security, there will be suspicion of superfluous. In non-core public security areas like hospitals, the key to applying AI face recognition well is to hit the pain points, not to add one to it if the hospital does not have it. For example, "electronic medical records" made by companies may not be necessary for hospitals. Because the hospital does not really need you to know what disease you have immediately when you enter the hospital. Now as soon as you swipe your ID card or medical insurance card, the hospital management system will know all kinds of information about your previous medical treatment, and this system has been done very well, and there is no need to use "face recognition". Many people may not have thought that there is actually another more worrying situation. If it is not handled properly in certain scenes in the hospital, "face recognition" will even become a tool maliciously used by black hospitals. For example, although the installation of face recognition cameras is beneficial to prevent the occurrence of violent incidents of medical disputes in hospitals, if some patients who come to the door due to problems such as failed operations are deliberately put on the blacklist by the hospital and repeatedly stopped outside the door, it will completely violate the original intention of the application of this technology. Therefore, problems such as difficult registration and difficult medical treatment are far from being solved by a face recognition technology. However, technology always makes the overall situation develop for the better. From the actual use of the hospital, through the accurate analysis of AI patients, the hospital also launched the "AI accurate appointment registration" function to provide them with a "green channel" for urgent and critical patients. The AI precise appointment engine jointly developed by the hospital and related enterprises incorporates the characteristic standards of intractable diseases. Critically ill patients upload medical records and inspection reports on the "accurate appointment" channel.
- The application prospect of AI + security in smart medical care
As the new crown pneumonia rages around the world, the Party Central Committee and governments at all levels have introduced relevant policies to encourage AI artificial intelligence to enter the medical and health field. Artificial intelligence with machine learning and data mining as the two core technologies has penetrated into the medical industry. The products and services developed by medical artificial intelligence companies in various application scenarios have brought about cost reduction and efficiency enhancement in the medical and health industry, and derived new medical subdivisions such as medical data services, machine learning services, and medical R&D services. They have expanded the boundaries of the medical field and reshaped the medical and health-related industry chain. The following are the artificial intelligence-related policies issued by the state in the medical field:
With the advent of the era of population aging, the gradual improvement of medical level and the extension of life expectancy, domestic medical demand continues to rise. At the same time, there are serious problems such as lack of medical resources, uneven distribution, lack of high-end medical and health talents, long doctor training cycle, and insufficient per capita medical and health expenditure. It is urgent to invest in new technologies to solve the shortcomings of the medical and health industry. The improvement of policies, capital, technology and social acceptance have all promoted the rapid development of various application scenarios of "AI + smart medical care". As a special traditional industry, medical care is conservative in its acceptance of new technologies. At present, it is difficult for AI-enabled smart medical care to achieve explosive growth. In the context of the current relatively weak artificial intelligence medical care, although the application scenarios of AI empowered smart medical care are very wide, AI service providers in the medical industry cover the entire value chain user scenarios, such as virtual assistants, drug research and development, health management, medical image-aided diagnosis, etc., but the products are actually used in hospitals on a large scale. However, AI + security, as a fusion, is more suitable for the progressive construction of three-level echelon configuration of China's smart medical care. With the needs of service subjects of various medical units at the same level, such as "seeking efficiency from AI security", related smart applications, such as ward rounds, outpatient guidance, cracking down on number traffickers, solving hospital parking congestion, realizing refined management of high-value consumables, precise collection and storage of resources and materials, public health event emergency linkage, and solving medical and health event resources. The development meets service applications such as dean, inpatient department, outpatient department, emergency department, pharmacy, medical equipment, intensive care, epidemiological investigation, integration of traditional Chinese and Western medicine, telemedicine, medical consortium, and medical community. Use the service APP, AR tags, QR two-dimensional codes, etc. that patients, family members, medical staff, and competent authorities like to see to provide precise medical resource management and services.
- epilogue
The fusion agent of AI+security has catalyzed the medical industry, which was originally relatively conservative in information technology, and the smart medical evaluation system has been deeply rooted in the hearts of the people. The guiding indicators of the new smart city construction "people-oriented, benefiting and convenient, performance-oriented, and objective quantification" have also accelerated the revision of the gradual development path of AI and medical care, security and medical care. Under the current situation of relatively insufficient medical resources, AI security has become an important auxiliary decision-making support means for smart medical care, and has become an important element of building a three-tier system structure of informatization, intelligence, and intelligence by seeking efficiency from AI, eliminating human errors, reducing errors, and implementing precise policies. In the future, a hospital without AI + security is not a smart hospital, and smart medical construction applications such as people-oriented smart hospital areas, smart wards, and smart parks will spring up like mushrooms after rain. AI algorithms, AI vehicles (medical equipment, robots, wearable devices), and AI capability platforms will all become standard configurations. Smart medical care is about you, me and others, about life, old age, sickness and death. There is no shortcut to smart construction. As the main body of the hospital, security companies must continue to cooperate deeply in the construction of smart medical care to launch good AI medical products and provide public security protection services. Let the hospital's information center department change from a cost center to a value center, and let AI serve medical care patients to provide sustainable growth value. The road is long and difficult, but the journey is approaching; if you keep going, the future can be expected. As a medical worker, you will not forget your original intention, and roll up your sleeves and work hard under the blessing of AI security.