Xing Liping, China Healthcare Industry Management Consultant, at the World Medical Robotics Conference, used data to show us the market value trends of global medical robots: $2.6 billion in 2014 and $7.6 billion by 2020. There are more radical valuations that can reach 10 billion market demand. According to the CFDA report, the number of medical robotic operations has reached 650,000 from 25,000 in 2005. It is worth mentioning that 80% of prostatectomy is done by robots.
China has also been constantly innovating and researching in the field of robotics, especially since the beginning of 2015, there have been many medical robots in the field, including applications in the field of minimally invasive and laparoscopic surgery. Internationally, some large medical equipment organizations in the United States are cooperating with India, they are cooperating to do some new robot research and development, and are expected to enter the market in 2018. Some Israeli companies are also very active in investing and developing in this area. This whole market development trend shows that the medical robot market has great potential!
Since China's medical machinery research and development is currently in the development stage, our supervision is now stricter than the United States.
In terms of classification, China and the United States define the classification of medical robotic instruments very close, but surgical robots are classified into the second category of medical devices in the United States, while in China they are classified into third-class medical devices. In addition, China is stricter than the United States for approval criteria and regulation of similar medical devices.
For the approval cycle, because China has a higher classification level for medical robots, the registration and approval cycle for medical robots for marketing and sales is much longer than that of the United States. At the same time, China has a valid period for medical devices that have been approved for marketing and sales. After the expiration date, it needs to be re-registered with the China Food and Drug Administration. The United States has no similar requirements.
Finally, clinical trials require that China conduct clinical trials for all Class II and Class III medical devices, while the United States requires partial clinical trials for Class II medical devices. Therefore, companies engaged in this industry should be familiar with our regulations while learning advanced American technology.
Unbalanced supply and demand for developmentIn fact, we all know that the specific figures are how we look at the specific data. The increase in our demand is mainly due to the aging, the global elderly over 60 years old, will grow at a rate of 56%, and in this growth process, because of the increase in the number of elderly people, their requirements for rehabilitation treatment will continue to be new. In the report of the aging of the world population, the number of elderly people over the age of 60 in 2030 is not only increasing at a rate of 5% or 6%. It is possible that the number of elderly people will exceed the total number of children aged 0-9, and the number of elderly people is likely to be 2050. It will exceed the total number of young people aged 10-20.
Looking back at the supply, the global shortage of medical personnel reached 12.9 million in 2035. In this case, the demand gap for medical personnel may be more dependent on technical means in the future, or on this basis, relying on medical robots to help us reduce the gap.
According to the Trading Economics forecasting model, China's per capita disposable income will increase by 41% by 2020, while the US will increase by 15%. The increase in income will drive the growth of high-quality medical demand. Medical robots have the advantage of less bleeding, more precision, and quicker recovery. According to Chinese and American academicians, the medical accident rate of surgical robots is lower than that of aircraft accidents, so people will slowly accept surgical robots.
Practical application of medical robotsCommonly used medical robots, divided into four categories. The first is surgical robots, rehabilitation robots, auxiliary robots, and service robots.
There are three major types of surgical robots in mainstream use. One is the Da Vinci robot, which performs many complicated operations on minimally invasive surgery, and can better improve the results of refinement and surgery based on doctor control. The second type is the radiation robot. The radiation robot is more accurate. It can better point to the lesion area. It can reduce the radiation dose or the healthy mechanism or healthy tissue due to hand shaking or aiming. many. In this process, the data tells us that the accuracy of this robot can reach the millimeter level, which can accurately refer to the parts that need to be radiated and reduce the damage. The third category is the auxiliary surgery system, which helps the surgery to be more precise and the surgical effect is better through navigation devices.
The application of rehabilitation robots, we see three main categories, one is Rewalk, through the sensors and monitors, so that users can stand and walk. There is also a type of bioelectrical sensor that emphasizes the degree of integration with the human body. In the third category, there are three modes, including FirstStep, AcTIveStep, and ProStep. AcTIveSte means that in this process, the user can control the rehabilitation robot autonomously and help the user to better achieve the rehabilitation link. ProStep is more automatic sensing, which can automatically sense the movement of the user's body, and by inductive movement, to correct and trigger the next action.
Auxiliary robots are divided into two categories from the mainstream. One is personal care robots. Many monitor the patient's physical condition after discharge and interact with the hospital. There is also a class of PARO, a high-level treatment robot that helps treat dementia, senile dementia and cognitive impairment from the perspective of perceptual interaction. There is AR inside.
Service applications in the United States are two major categories, one is sterilization and sterilization robots, and more in medical institutions, through the continuous operation of robots, to improve the sterilization rate of the entire organization. In medical institutions, there are many cross-infection rates. Statistics show that in the past, in many cases of cross-infection, there may be a case of cross-infection in nine patients who went to the hospital. In this case, the disinfection robot can improve the degree of antivirus to avoid the cross infection rate, improve the overall environment of the hospital, and improve the overall health management or rehabilitation management. The second category is transport robots, doing some daily work. Reduce the workload of medical staff.
There are five major development trends in the futureThe first is the system, with more emphasis on integration, the definition and standardization of the entire system and model. Including data integration and how big data applications interact, this is indispensable in the future. There are also chronic diseases and sub-health that account for this large chunk. This is more to become an organic whole to achieve better services through the entire system of management.
The second is interaction. It also emphasizes the interaction between people and machines. Through touch, mutual feedback, and the need to increase the sense of reality and realism. Some experts have mentioned that there will be deviations that lead to judgment errors. This is also an issue to be solved at the interaction level. The best way to do this is to use inverse feedback.
The third is from the structure, this structure is more from the material and the way how to achieve a light, strong, agile formation, and more energy-efficient, but also less likely to produce physiological rejection, and more compact, Also reduce costs. Safety, quality, and fineness will definitely find a balance point. This is also a problem that needs to be solved in the future for sustainable development.
The fourth category, perception, through the interaction of multiple models, three-dimensional sensing or different technical means to improve the recognition rate inside, as well as through the combination, there are many combinations with AR to identify objects and environments. This recognition makes it better for the robot to act and react.
The fifth category, cognition, is based entirely on the AR perspective, in technology applications, machine cognitive and learning abilities. This also includes knowledge of knowledge, reasoning, voice, situational awareness, morphology, and so on. Cognitive algorithms will allow robots and doctors to work together and predict the behavior of doctors. During the interaction, high-resolution sensors will provide visual feedback and improve accuracy during surgery.
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