Self-administered medicine: using artificial intelligence to create cloud "big white"

In the purchase of medicines and health products, usually we will follow the doctor's opinion, but under the premise of information asymmetry, patients may make some wrong decisions, and may even suffer from the flicker of some black manufacturers.

Because they saw family members and friends lacking the ability to make judgments when purchasing products, Wang Jianhui, CEO of self-administered drug use, provided an effective and convenient drug guidance.

Self-test medication CEO Wang Jianhui

Cloud "big white"

According to the introduction of self-administered drugs, this app is a "smart expert system supported by expert clinical experience and big data." Wang Jianhui said that the establishment of an intelligent system for self-test drug use is mainly divided into three steps:

The first is a systematic summary of the experience of a large number of clinical experts in the disease and medication, to find out the universal law, formed a preliminary intelligent system.

On the App interface, the system will provide some relevant tag recommendations based on the user's search. After the user enters the symptoms, they can click the tag (displayed in green) or double-click (shown in red) to indicate serious symptoms. degree.

"Self-test medication" App interface

According to Wang Jianhui's introduction, these labels are set through two aspects: expert experience and user big data analysis. "The former defines the framework of the system, which extracts the most representative symptomatic labels and combinations," Wang Jianhui said to Lei Fengwang (searching for "Lei Feng Net" public number) , "We just want to put the subjective description of the user Accurate translation becomes the most objective guideline for disease medication."

Second, with the accumulation of user data, the system will gradually optimize the system's data collection and medication recommendations, so that the system is more and more close to the user's symptoms and habits. "The entire system is actually the process of a doctor looking at a doctor," Wang Jianhui said.

After the user submits relevant symptoms, the system will provide targeted user suggestions and guidance for user information. These are automatically provided by the expert system, and manual intervention is not required. This is where the core algorithm of self-test medications lies.

Although due to technical reasons, Wang Jianhui did not disclose too many details in the algorithm, but we can also consider one or two of the main judgment dimensions: symptoms, age, gender, and region. This is like a cloud "white" - providing advice and guidance based on the user's illness, and adjusting the drug recommendations with personalized needs.

However, if it is directly on the App for drug recommendations, the presentation on the App may involve the issue of recommendation ranking and bidding ranking. Will there be conflicts of interest among the various vendors? In this regard, Wang Jianhui said that there is no such problem.

"In addition to certain specific protective products, the current system itself only targets the generic name of drugs. It only analyzes certain types of products and does not recommend specific products. Only because there are too many similar products in the country, It is not necessary to list all the workloads too much, so we have chosen only a few representative products based on the advice of experts."

B-side drug recommendations, what?

Wang Jianhui, who completed a master's degree at Beijing University of Traditional Chinese Medicine, walked out of the school and embarked on the road to “starting a business after graduation.” “When I go to school, I watch “Win ​​in China” every day. After I graduate, my head is hot and I choose to start my own business.” Several of Wang Jianhui's entrepreneurial projects have always been inseparable from the old line. From health management applications, health management systems, to self-test medications, Wang Jianhui has also grown from a student to a “continuous entrepreneurial” person.

In the beginning, the self-administered drug used a consumer-oriented to C model, but it has gradually transformed to B, mainly because of two considerations.

The first is that the pharmaceutical industry chain is too long, and it is too difficult to complete independent closed loops by self-test drugs alone;

Followed by the way to B, self-test medication can quickly spread their services to the broad masses of people.

At present, the self-test drug has opened the entrance to a number of medical e-commerce and offline pharmacies, such as Jingdong home, 360 health, wonderful health, Jianyi.com and offline people's pharmacies. In the above App, medications can be recommended for self-administration. This series of cooperation in the view of Wang Jianhui, on the one hand, hopes to solve the problem of popular drugs through professional services; on the other hand, it can also tap out the public's health needs, improve product sales and improve the health of users.

Recalling the difficulty of starting a business, Wang Jianhui said: “The college students are really hard working, but it is still good enough to persevere, and they have been tossing in the area of ​​Internet medicine and have accumulated some of their own experiences and insights. Still quite valuable."

Wang Jianhui said that so far, regardless of the product form or the core algorithm, self-test medication has not yet reached its ideal product vision. With the continuous accumulation and learning of data in the future, he hopes that the system can in turn guide the clinical use of common diseases to make them “beyond the experts and experts” and even stay with the robot technology in the future. "Baibai" is transformed into a real "big white" and integrated into the daily health care of the public.

(Text provided by Wang Jianhui)

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