Digital Health TechnologyHifCare2022-09-05T07:49:18+00:00
Digital Health Technology-Hifcare IoT Health Monitor
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With the increasing improvement of people’s lives, smart medical care is infiltrating into thousands of households, and medical sensors that play a key role in smart medical care will also be of great use. A variety of high-precision medical-grade sensors are used, which are not only directly used in smart medical equipment, but also in some wearable devices and electronic products related to smart medical care, so that people can always enjoy the convenience, safety, Guaranteed efficiently.
Smart medical technology refers to the technology in diagnosis, treatment, rehabilitation, payment, health management and other links, to build a complete medical information, cross-service, patient-centered medical information management and service system interconnection, sharing and collaboration, and clinical innovation, iagnostic science and other functional interconnection, sharing and collaboration, clinical innovation, diagnostic science and other functions
1. Sensor Digital Health Technology
Medical sensor technology has two development directions: one is the research and development of the sensor itself, and the other is the research and development of the system that combines the sensor with the computer and information technology.
In recent years, with the development of 5G and Internet of Things technologies, the development of medical sensor products has become more and more popular, and the commercialization of medical sensor technology in the field of medical device products has become increasingly popular.
Modern medical sensor technology has gotten rid of the technical shortcomings of traditional medical sensors such as large size and poor performance, and has formed new development directions such as intelligence, miniaturization, multi-parameter, remote control and non-invasive detection.
Chronic Disease Digital Health Technology Sensor
The rapid economic development has improved the quality of life of residents, and has also pushed up the incidence of obesity, diabetes, fatty liver and other “wealthy diseases”. These chronic diseases, resulting in long-term medication and treatment costs, also increase the pressure on the social medical system.
Body fat scales, blood glucose meters, sphygmomanometers, Kangkang watches, sleep instruments, oxygen machines, infrared thermometers, and other products all use cutting-edge smart medical sensors to detect and obtain various physiological data of the human body.
Processed and stored in the database of the platform, and then processed by artificial intelligence, machine learning, data mining, etc. of big data technology, users can log in to the platform to view their various physiological data and their changes, so as to take appropriate measures for their own health. Targeted monitoring and management can play an early warning role.
When you get more than a watch, you can connect with the doctor on the platform. Let the smart home health care system integrate a variety of advanced technologies, and finally make the most efficient doctor treatment plan through the combination of the Internet of Things and telemedicine. It provides an effective reference for the clinical application of smart medical care.
2 Cloud Digital Health Technology Applications
Cloud medical establishes a systematic and digital electronic health record, which is stored in the cloud for future medical diagnosis. Cloud medical treatment breaks the space limitation between medical experts and patients, and realizes remote consultation between medical experts and patients through the Internet of Things and various medical technologies and equipment.
It not only improves the quality of medical treatment, but also saves time and economic expenses for patients and doctors to seek medical treatment and diagnosis and treatment. At the same time, the remote monitoring system of cloud medical also escorts the health of patients. Through the GPS positioning installed in the monitoring equipment, the patient can be found and treated at the first time in the case of abnormality, which improves the efficiency of treatment.
3 Wearable medical device applications- Digital Health Technology
Wearable medical equipment perfectly realizes “human-machine integration” through sensor technology, communication technology, medical chip technology, etc., and digitizes life status. Wearable devices have a variety of functions and uses, not only for health monitoring, but also for disease diagnosis, intervention and rehabilitation. Users wear medical equipment for a long time and can monitor various physical and physiological status indicators in real time.
For example, health trackers can monitor human health indicators such as body temperature, blood pressure, blood sugar, heart rate, etc. in real time, and at the same time manage people’s health, remind people to exercise more, go to bed early, and promote people to develop healthy living habits.
Some smart watches and bracelets that combine advanced technology can also monitor blood pressure levels and blood components based on optical sensors. With the support of technical backgrounds such as big data and cloud storage, data-based health information has been stored, laying the foundation for future disease treatment.
Doctors can customize diagnosis and treatment plans for patients through the information-based historical health files of patients, and provide patients with more efficient and high-quality services. Wearable devices show great development potential in the medical market due to their portability, timeliness, and technology.
Personalized health management also helps to create a benign ecological model of smart medical care.
4. Rapid development of AI digital health technology
a. By 2020, the amount of medical data will reach 40 trillion GB, 30 times the amount of data in 2010, with a growth rate of 35.99% in the past five years.
b. Large samples, high quality, diversified medical data-driven computing power, rapid iteration of algorithmic big data, and AI medical diagnosis model algorithms such as AI medical imaging are relatively mature.
c. International, national and urban policies strongly support and help promote the development of the artificial intelligence medical industry, and a number of policies have been issued to continuously increase support for domestic medical imaging equipment, third-party independent medical imaging diagnostic centers, telemedicine and other fields.
d. A large amount of capital has entered the market, and related companies in the medical artificial intelligence industry have gradually advanced financing, with a total amount of more than 1.7 billion yuan, which has greatly promoted the development of medical artificial intelligence industries such as AI medical imaging.
5. Key element development of digital health technology
The development of smart medical technology focuses on the following aspects:
a. The accurate perception of objects, such as the Internet of Things technology, refers to the use of radio frequency identification, sensors, infrared induction, laser bar code scanning, image recognition and other information perception equipment and networks to connect the required monitoring items to the Internet according to the agreed communication protocol. Information exchange and communication.
b. Information fusion technology: Integrate and synergistically utilize the collected complex, large-sample, and diverse medical and health-related multi-source data.
c. Mobile computing technology: efficient computing and analysis of medical and health big data through diverse mobile computing platforms such as the network, mobile devices, and high-performance workstations.
d. Cloud computing technology: It mainly relies on the interactive use mode of computer infrastructure, obtains the required resources through the network in an on-demand and easy-to-expand way, and can provide medical institutions, government functional departments and individuals, including regulatory analysis software, platforms, and infrastructure. Settings and other multi-level, multi-faceted services.
6. Difficulties encountered in the implementation of digital health technology for all people
a. Patient Privacy and Information Security
Machine learning requires the use of large-scale medical data. Whether these data will cause data leakage before and after use will have an impact on personal privacy. At the same time, due to the continuous exchange of transaction data between various services, the management of personal data is weakened. .
b. Data quality issues
b.1 The application depth and breadth of electronic medical records are not enough
The use of the electronic resume platform also has the problems of low enthusiasm of doctors and low utilization rate of patients. User acceptance and use concept are low. Although the number of mobile medical APPs reached more than 2,000 in the smart medical outlet period in 2015, only 38.9% of patients have used medical APPs. In addition, the electronic health resume platform does not collect data on medical wearable equipment, and there is a data gap.
b2. Insufficient interoperability of logistics management data
The hospital logistics system is the foundation of the overall operation of the entire hospital, and the hospital logistics management, including the management of large-scale equipment, is very complicated. If logistics management is not in place, it will affect the work efficiency of clinical departments and functional departments of the hospital, and even medical safety. However, the internal system of the hospital has the problem of data silos and no interconnection.
b.3 Low degree of information integration
The information systems of various medical institutions are mostly from different manufacturers, and the data standards, data formats, and data description methods are inconsistent, and it is difficult to achieve information integration between databases. The construction of electronic medical records and residents’ health records is not ideal. Although most hospitals have already used electronic medical records, there is no mutual recognition of electronic medical records among hospitals, which has become an obstacle to the sharing of residents’ health information. Medical and health big data has not given full play to its application value.
b.4 Data entry takes a long time
The standardized metabolic management center (MMC) system of most hospitals is not connected with the hospital information system, and the patient’s examination data needs to be re-entered. When entering or enrolling patients, a question-and-answer method is adopted, which consumes a lot of manpower and time, and also increases the probability of information errors and omissions.
c. Lack of funds and talents, and uneven development of artificial intelligence technology regions.
d. Lack of a clear business model
The smart medical industry is in a relatively complex industrial chain, and medical equipment manufacturers and mobile operators play a pivotal role in the industrial chain.
For all enterprises in the industrial chain, becoming an integrator of the industrial chain is their ultimate goal. However, most of the current profit models of smart medical products are realized by charging advertising fees, intermediary fees, value-added services, etc., and these business models are relatively single and scattered, which will inevitably limit the sustainable development of smart medical enterprises
Smart elderly care products you want to develop-Digital Health Technology
1. SOS alarm-Digital Health Technology
2. Smart door sensor
3. Positioning alarm watch
4. Temperature Sensor
5. Pull cord siren
6. Holter monitor
7. Smoke detector
8. Smart Pill Box
9. Sleeping Headband
10. Fall Alarming
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