The scale of mobile medical care will break the tens of billions of trapezoidal talents

In 2016, the Boao Forum paid special attention to the cutting-edge technology that promotes economic and social development, and set up sub-forums on topics such as 5G, VR (Virtual Reality) and AI (Artificial Intelligence). Talking about the application of artificial intelligence in mobile medical care , Gong Ruyun's co-founder Gong Ruzhen told Hexun.com that there is still no machine to defeat human beings, but only in terms of the role of intelligent medical treatment in the clinic, the machine is indeed It has superiority in the treatment of pathological films of gastric cancer and intestinal cancer. Medical big data is taken from thousands of cases of medical treatment. It is not a machine to represent PK a human being. It is not easy to conclude that the machine defeats human beings.

Mobile medical care is changing the inherent mode of traditional medical care. The data shows that the size of China's mobile medical market is expected to reach 12.53 billion yuan in 2017.

Miyaru said that big data technology has enabled the existing medical resources to be dug, allowing more patients to be treated equally, and even helping the scientific research department to detect changes in the disease. Applying big data in hospital management, clinical and scientific research is the future trend, which can make hospitals more efficient, more transparent, and more fair in the medical system, while also reducing costs for hospitals.

She advocates that "three-point treatment and seven-point management" is very important for patients after diagnosis. Take tumors as an example, and their compliance (as directed by doctor's advice) ranks first among all diseases. Therefore, Zhidu Yun is assisting the hospital to establish a data patient management center to remind patients of some issues after diagnosis.

Miyaru said that there are also some problems in Internet medical care, such as security, as well as the existence of medical guidance, fraudulent medical insurance, and pyramid schemes in Internet hospitals. However, in the process of supervision, it is recommended to re-supervise and lightly approve. On the other hand, the medical big data industry lacks trapezoidal talents, both understand big data and understand medical information , and at the same time, IT talents are scarce.

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