In the past two years, artificial intelligence can be said to have been loved by the capital market, and large and small artificial intelligence companies have begun to enter various industries. Faced with the insatiable “old antiques†of medical treatment , artificial intelligence companies have also raised the banner of “subverting medical care†and entered the high-health medical and health enterprises. However, after two years of precipitation, the AI+ medical field that has been in the past has begun to become calm. From the perspective of the recent World Artificial Intelligence Conference, how technology can empower the medical and health fields, how hospitals embrace technology, and how capital and policies can help to integrate the two, these have become the most problematic issues. On the 20th of September, the news was held by the Chinese Medical Association orthopedics branch and the Science Popularization Branch, and supported by the Drug Safety Cooperation Alliance. The “AI-assisted clinical diagnosis and medication safety summit forum†hosted by Senyi Intelligent was held in the Shanghai Science Hall. . The conference demonstrated the frictional collision between information technology and hospitals. Senyi Intelligent CEO Zhang Shaodian started from the industry and believed that the technology should put down the posture of subverting medical treatment, and let the AI ​​technology empower the medical and health field with awe. Collision between two sets of language systems In the era of big data, data naturally becomes an important means of production. As the world's second most populous country, the huge population base has accumulated huge medical data, and these data will have great potential in optimizing medical resource allocation, medical research, and improving medical efficiency, which will enable AI technology to enter and empower medical care. The health sector brings natural opportunities. According to IDC, the total cost of medical informatization in China will reach 43.01 billion yuan in 2020, with a compound annual growth rate of 11.1%. The market size of clinical informatization solutions is expected to grow to 5.217 billion in 2020. In the yuan, the compound growth rate will reach 16.71%. However, despite the constant mention of medical informatization, medical data quality issues such as “data silos†have not been well resolved. Dong Jiancheng, deputy chairman of the Medical Information Branch of the Chinese Medical Association, said that the quality of big data determines the degree of intelligence of AI development in the future, but the current status quo is that the utilization rate of medical data is too low. In this regard, Pan Weihua, director of the Big Data Center of Xinhua Hospital affiliated to Shanghai Jiao Tong University, believes that the past medical informationization actually caused medical staff to spend more time on organizing medical data and entering electronic medical records, which undoubtedly brought extra work to them. Burden, while reducing communication between doctors and patients. However, Fan Xiaohong, vice president of Shanghai Chest Hospital, believes that the original sin of such a problem is not informationization but the high requirements of the medical field for the writing of medical records. Fan Xiaohong believes that, to a large extent, informatization has greatly improved medical efficiency. In fact, such a discussion clearly shows the friction between the medical system and the two language systems in the IT field. This is deeply felt by Zhang Shaodian, who is rooted in the industry. The current AI companies are constantly looking for application scenarios that can be reached, but firstly, the technology providers and hospitals need to embrace each other with a more open attitude. Therefore, Zhang Shaodian believes that the value of AI technology in medical care is empowerment rather than subversion. AI technology is going to be engineered As for how AI truly empowers medical treatment and makes it a valuable medical technology, Fan Xiaohong believes that AI technology needs to be truly oriented to patients and medical staff in the field of medical health. For example, she said that as a hospital dean, she is usually more inclined to purchase IT products that can be customized for the hospital rather than already mature products. As the manager of the hospital, the dean has his own management ideas and principles. In Fan Xiaohong's view, the best information products can cooperate with the hospital to perform their duties. Zhang Shaodian told Yiou Great Health that Senyi Intelligent has cooperated with 30 to 40 hospitals, mainly focusing on clinical informationization related cases, examinations, and medications for data management, data analysis, and case analysis. Zhang Shaodian has always stressed that Senyi Intelligent is an artificial intelligence company rather than a data company, mainly providing technical services. He believes that medical data itself cannot be monopolized. AI technology company's opportunity lies in the governance analysis of cumbersome medical big data . . Zhang Shaodian told Yiou that the health is strong. At present, Senyi Intelligent is working on the "black box" of AI technology. Because Zhang Shaodian judged, the future AI technology needs to be more engineered and streamlined. That is, although the diseases handled by the technology are different, due to the logic of the algorithm, the data will be flowed through the "black box" for data analysis. Therefore, the monopoly of AI Technology will depend on the medical scene and the ability to build a "black box."
There are mainly the following parts:
1. Sampling swab with disposable sterile plastic rod/rayon head
2. Sterile sampling tube containing 3ml of virus maintenance solution (gentamicin and amphotericin B are selected to better inhibit the fungus in the sample. Avoid the human sensitization reaction that may be caused by penicillin in the traditional sampling solution.)
In addition, there are additional parts such as a tongue depressor, a biosafety bag, etc.
Intended to use
1. It is used for monitoring and sampling of infectious pathogenic microorganisms by disease control departments and clinical departments.
It is suitable for sampling of influenza virus (common influenza, highly pathogenic avian influenza, H1N1 influenza virus, etc.), hand, foot and mouth virus and other types of viruses. It is also used for sampling of Mycoplasma, Chlamydia, Ureaplasma, etc.
2. It is used to transport nasopharyngeal swab samples or tissue samples from specific parts from the sampling site to the testing laboratory for PCR extraction and testing.
3. It is used to preserve nasopharyngeal swab samples or tissue samples from specific parts for necessary cell culture.
The virus sampling tubes are loaded with infectious substances, and some are even highly pathogenic substances. Therefore, the requirements for packaging containers are very strict, and three requirements must be met at the same time:
1. The safety of transportation.
Ensure that the sample does not leak during transportation. Sampling tubes that comply with WHO regulations and biosafety regulations.
2. The security of preservation.
Ensure that the sample does not leak during storage. Sampling tubes that comply with WHO regulations and biosafety regulations.
3. The validity of the sample.
Make sure that the sampling tube itself will not have a toxic effect on the sample.
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