In the purchase of medicines and health products, we normally would follow doctors ' advice, but under the condition of asymmetric information, patients may make some wrong decisions and may even suffer some unscrupulous manufacturers cheat.
Because when I see my family and friends to purchase products without proper judgment, CEO Wang Jianhui self-test medication's original purpose was to provide an effective and efficient manner possible drug guide.
Self test medication CEO Wang Jianhui
The cloud, "great white"
According to the introduction of the test drug, this App is a "supported by expert clinical experience and data expert". Wang Jianhui, self-test use the smart system architecture is divided into three steps:
First of all a lot of clinical expert in diseases and medication experience systematically summarize, identify universal laws, formed a preliminary intelligence system.
In the App interface, the system based on the user provides the strong tags recommended, after users enter a symptom, you can click label (displayed in green) or double-click (shown in red), which indicates that the severity of the symptoms. Disney case
"Self test drugs" App interface
According to the introduction to Wang Jianhui, these labels are ' experts ' experience and analysis of two sets of user data. "The former defines the framework of systems, which refines the most representative label and the combo," Wang Jianhui of Lei feng's network (search for "Lei feng's network" public concerns) said, "we want to describe the user's subjective for the most accurate translation as the most objective criterion for disease a medication guide. "
Secondly, with the accumulation of data, the system step by step to optimize the system of data collection and the use of drugs recommends, make systems more and more close to the symptoms and habits of the user. "The entire system is actually a machine process of doctor," said Wang Jianhui.
After users submit the related symptoms, the system user to user information to provide targeted advice and guidance, which is automatically provided by the expert system, artificial no need to intervene again. This is the core algorithm self test drugs.
Although for technical reasons, Wang Jianhui algorithm does not reveal too many details, but the main dimension of judgment and we can assume that one or two: symptoms, age, gender, and geographic location. It's like a cloud, "great white" – according to the illness to provide advice and guidance, and adjust the drug with the individualized needs of recommendations.
But if it is recommended by the drug directly in the App and are rendered on the App will likely involve recommending ordering and PPC issues and whether there is any conflict of interests of the vendors? In response, Wang Jianhui said such problems do not exist.
"Subject to certain protective products, current positioning of the system itself to the generic names of drugs, only one category of product analysis and is not recommended for a specific product. Just because too many domestic products, list all too much work and there is no need, so our experts have selected some representative products. "
B-oriented drug recommendations, what?
Wang Jianhui, completed a master's degree from the University of traditional Chinese medicine in Beijing, out of school on the "graduate entrepreneurship" the road, "at school every day since the win in China, heads a hot choose self-employment after graduation. "Count Wang Jianhui entrepreneurship program, and business tied up, health management, health management systems, and now to test medication, Wang Jianhui also grow from a student for" serial ". Disney Note 4 Case
At first, self test drug is consumer-oriented to c mode, but is now gradually transforming into a to b, mainly for two reasons.
First is the pharmaceutical industry chain is too long, only with self test completed independent closed-loop of the drug are too difficult;
Followed by the way to b, self test medication can take service quickly spread to the general population.
At present, the self-test medication has several entrances open to medical e-commerce and online pharmacies, such as Beijing, 360 East home health, better health, health NET and offline LBX pharmacy. In the App, can use self test drug usage to recommend. This series of cooperation in Wang Jianhui, on the one hand want to be able to resolve the problem of mass medication through professional services; it can also dig out public health needs, increase product sales and to enhance the user's health.
Recall business is not easy, Wang Jianhui Gan outsiders: "entrepreneurship is really hard, but persevered, and he has been in the field of Internet medical ordeal, also gained some experience and opinion, now in retrospect is quite valuable. "
Wang Jianhui said that so far, whether product or the algorithm self test drugs are far from the ideal product idea. As data continue to accumulate and learning in the future, he hoped that the system would, in turn, guide the clinical treatment of common diseases, making it "from experts is higher than expert", even with the upcoming robotics, will stay in the clouds "great white" into a true "great white" go into public health care.
(The photos in the article are provided by Wang Jianhui)
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