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FPT Corporation had had the honor to accompany the Electronic Health Administration – Ministry of Health in building the Covid-19 prevention virtual assistant, and had finished 90% of its work in only 2 days.
1. Identify the problem and purpose of bot
After receiving the problem from the Electronic Health Administration – Ministry of Health on February 1, the FPT.AI team had immediately started to discuss and plan for building a chatbot – the Covid-19 prevention virtual assistant. The chatbot was to be responsible for answering inquiries and provide new information regarding the Covid-19 outbreak status. Aside from familiar mainstream medias, the virtual assistant will also be a mainstream news provider from the Ministry of Health, with quick information that is constantly updated in real-time. Information provided by the chatbot are gathered from specialists and doctors at the National Hospital of Tropical Diseases. Therefore, people can fully rely on it for accurate information on prevention and diagnosis instructions.
2. Prepare materials, intentions, answers, and samples
In order to have the most accurate information for bot-building, the FPT.AI team had to gather materials from various relevant parties. In particular, the Ministry of Health provides official correspondences, recommendations, guidance, and statistics on diagnosed cases, recoveries, and deaths domestically as well as internally. While information regarding the coronavirus, symptoms, prevention measures… are provided by doctors and specialists at the National Hospital of Tropical Diseases in consideration and great details. The Ministry of Health also provide in details lists of local hospitals ready for dealing with suspected cases, and requirements in self-quarantine.
3. Identify main topics of interest
After gathering enough information regarding the Covid-19 outbreak that are helpful to people, the Covid-19 prevention virtual assistant team had to identify problems that users are interested in. From missions of the bot, the bot builders had to find main topics on Covid-19.
For example, to build a chatbot on covid-19, we need to know what are topics of interest for users? They may care about information like what type of virus is the covid-19, where did it originate from, how does it spread, what are the characteristics of it…; and information like how to know if you are infected with the virus, what procedures must be taken in case of suspected infection, what are the fees of testing and treatment…; or information on the disease’s symptoms, prevention measures, status of the covid-19 outbreak around the world as well as in Vietnam…
For comprehensive information coverage in the chatbot, the bot team had to list as many topics of interest as possible. Then, the most effective approach was to make diagrams of main conversation topics, then arrange information in tree charts, from generals to details. This would help the chatbot get information in large quantities, in details, meticulously, and in full.
