As one of the largest and fastest-growing areas driven by artificial intelligence, Smart Healthcare replaces artificial genetic sequencing, diagnostic treatment, and surgical procedures, providing patients with systematic medical services and will gradually become a life in the future. Indispensable part.
Prior to this, an inventory of smart medical products was conducted from the annual product module, and follow-up will be started from several sections such as annual data, capital events, and new arrivals. Please pay attention.
1. Internet of Things Technology
The Internet of Things technology has opened the era of the Internet of Everything, bringing a "new revolution" in the industrial model to all walks of life. As one of the focuses of the people's livelihood, medical care has naturally become the most important application of Internet of Things technology. It realizes the interaction between patients and medical personnel, medical institutions, and medical equipment, and gradually achieves informatization in the medical field.
The application of the Internet of Things technology to improve the level of medical services is mainly reflected in the following aspects:
a. Optimize the doctor visit procedure. Patients can register, pay bills, view reports, and other steps by just moving their fingers. b. Implement intelligent management. Through the intelligent transformation of hospital vehicles, medical equipment, etc., management can be improved. Convenient; c, quickly collect valid data, accurately capture patient data information, and make analysis, save time for medical staff; d, improve the level of medical services, help hospitals improve efficiency and save costs, while providing patients with more convenient services.
2, machine learning technology
Machine learning is an algorithm that uses unstructured or unlabeled data for unsupervised learning. It holds up an efficient and accurate neural network.
With the help of machine learning, the capacity, scalability, efficiency, and accuracy of intelligent diagnosis and treatment continue to increase. Taking IBM's Watson as an example, it has been able to learn images and texts through continuous electronic health record learning to achieve accurate breast and heart disease diagnosis.
The study anticipates that intelligent diagnosis and treatment will help improve the accuracy of clinical diagnosis by 30% to 40%, while reducing medical costs by 50%.
3, big data analysis technology
While all major industries are actively investing in big data applications, the smart medical industry is not far behind and is looking forward to accelerating the causes of various diseases and finding effective treatments.
At present, big data analysis plays an important role in disease surveillance, auxiliary decision-making, and health management, and is a focus of smart medical attention. At the same time, it can solve the challenges of data sources, interoperability, and security, and grasp the latest trends in clinical care, reimbursement modes, and population health management to bring medical institutions a competitive advantage.
Taking oncology as an example, based on the support of big data, it has made rapid progress in personalized therapy, accurate diagnosis bases, and clinical decision support tools, making it easier to treat deadly diseases.
4, security technology
With the rapid development of new technologies such as big data and cloud computing, the need for networking and intelligence in hospitals is becoming more and more urgent.
At this stage, security technology is mainly used in the following two aspects in medical systems:
a. Telemedicine information system mainly includes medical high-definition video cameras, medical video terminals, medical service terminals, multimedia integrated service platforms and other professional equipment. In the application, it mainly focuses on remote visualized medical systems.
b. Medical security systems, the main application methods include high-definition monitoring, face recognition, intelligent video analysis, can effectively combat the existence of doctors, ticket brokers, and help security personnel to quickly find anomalies to respond.
5, wear device technology
With wearable technology, technologies such as multimedia, sensors, and wireless communication can be embedded in people's clothing, and can support gestures and eye movements and other interactive methods. It brings a whole new era of smart healthcare, such as monitoring brain data to track emotions, health data, and more.
The Swiss company Soreon Research predicts that smart wearable devices will help save 1.3 million lives by 2020. The majority of people saved will come from reduced death rates from wearables monitored at hospitals. It is reported that there are wearable defibrillators that are currently in clinical use, as well as wearable alternating electric fields that are still in the process of research and development, brain tumors, and iontophoresis for headaches.
6, gene sequencing technology
Baidu CEO Robin Li previously pointed out that the development of smart medical services is divided into four levels: medical O2O intelligent triage, intelligent intelligence, precision analysis, precision medicine, and new drug research and development based on big data.
In recent years, as gene sequencing technology has become more mature, prices have decreased, and more and more genetic data have been accumulated. Its health impact is becoming a problem of calculation and analysis.
7, biosensor technology
Biosensing technology collects the user's vital signs data through the use of vital body inspection equipment, digital medical equipment and other sensors. Subsequently, the data is transmitted to the physicians on the remote service platform. The doctor provides health care, prevention, and monitoring to the users according to the data indicators. , call for help and other telemedicine and health management service system.
Because of its uniqueness, sensitivity, and quick response, biosensor technology provides a quick and easy new method for basic medical research and clinical diagnosis.
8. Radio frequency identification (RFID) technology
RFID technology is also a kind of sensing technology. It can read and write quickly and track and manage for a long time. It implants chips in materials and medicines, and connects chip signals with material product information. The hospital uses computers and automatic identification systems to achieve Material and pharmaceutical supervision.
It has the following three functions:
a. Wireless monitoring function. The monitoring equipment in the ambulance collects the vital signs information of the emergency patient, and uploads the monitoring information to the emergency command center and the emergency hospital center for emergency treatment through the 3G, Wi-Fi and other networks.
b. Video surveillance function. The camera video signals outside the ambulance are uploaded to the emergency command center and the hospital's emergency room remote monitoring center through 3G, Wi-Fi and other networks.
c. Positioning and dispatching function, using GPS positioning technology, searching for the nearest ambulance for deployment, and performing trajectory monitoring on mobile emergency vehicles.
9, Perceived Cloud Service Technology
Modern information technology has brought new changes to smart healthcare. In light of its own requirements and development trends, smart healthcare cloud services need to use modern information technologies to provide users with intelligent cloud services that are self-aware and autonomous.
Smart medical "perceive cloud service" is inseparable from its data carrier "health awareness cloud", because the "health awareness cloud" it builds stores a large number of residents' health data, and these data often have an explicit and hidden Sexual relevance, mining, and comparing data links are important tasks for "aware cloud services."
10. Artificial Neural Network Technology
Artificial neural network is a research hotspot in the artificial intelligence field since the 1980s. It abstracts the human brain neural network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods.
Due to the complexity and unpredictability of the human body and diseases, there are many complexities in the analysis and decision-making of data and information, such as the detection and signal expression of biological signals and information, and the law of change and regularity. The non-linear connection is suitable for the application of artificial neural networks.
At present, artificial neural network technology is mainly used in biological signal detection and automatic analysis, medical expert system and so on.
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