Specialist
Former Head at Ping An Healthcare & Technology Co Ltd (Ping An Good Doctor)
Agenda
- AI applications in internet healthcare platforms – medical record management, plus smart guidance, diagnosis and prescriptions
- AI technologies – accuracy and error rate, efficiency improvement, algorithm and computing capacity
- Personnel structure and talent shortage
- Internet healthcare companies – product portfolio and commercialisation progress
- Challenges brought by the coronavirus pandemic to AI technologies
Questions
1.
Can you first talk about AI’s application scenarios in the internet healthcare sector, such as online consultation, medical record management and smart prescriptions? Which application scenarios are in large demand? Is there a difference in the technical implementation of AI in these application scenarios? Which scenarios have greater monetisation capability for internet healthcare companies?
2.
The demand for online consultation on internet healthcare platforms has increased dramatically during the coronavirus pandemic. It is a reasonable solution that internet healthcare companies relieve the burden of offline doctors by providing online consultation services with the help of AI technologies. Can online consultation services be simply regarded as online customer services? Are the technologies of the two kinds of services similar? How many online consultations can AI technologies deal with? How can we distinguish between online consultation and smart guidance?
3.
In terms of the interaction scenario of online consultation or smart guidance, the materials that users upload may include text information, pictures and radiographs. Which one of the computer vision (CV) technology and the NLP technology is more suitable to interpret these materials? Which technology is the mainstream technology in the internet healthcare industry?
4.
What are the implementation costs in developing knowledge graphs and FAQs? What are the difficulties for this industry? How do companies reduce implementation and training costs?
5.
Many insurance companies and pharmaceutical companies have closer contact with patients or consumers. Do they have advantages over internet companies in acquiring data? Will they form an emerging force once tapping into the AI application field for the healthcare industry?
6.
The development of AI has huge demand for algorithms and data. After the implementation of the NLP algorithm in this industry, data has become very important. For the healthcare scenario, will the demand for algorithm exceed supply?
7.
With the improvement of algorithms and the increase of data, how large will the application potential of AI technologies be in the internet healthcare sector? What will be the substitution rate of human doctors by AI in online consultation in the coming 3-5 years? When will doctors be completely replaced by AI in online consultation?
8.
Having invested so much in AI products, have internet healthcare platforms succeeded in making profits from them? How do you view the monetisation capability of AI technologies?
9.
AliHealth under Alibaba is developing internet healthcare products and the Alibaba Damo Academy is working on healthcare knowledge graphs. Tencent boasts its AI healthcare laboratories. Baidu has been trying to apply AI to various fields over the past few years. Can you compare the three internet giants in terms of their business development strategy, products and technologies regarding AI healthcare?
10.
Which countries are the targets of China’s internet healthcare companies that go global? What common cooperation models do the companies adopt in their target countries? Is overseas expansion a mature monetisation channel for the companies?
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