JD Health

Took responsibility for improving the AI product which sends the incoming patient to the most fitted department given the chief complaint and worked on competitive product analysis. Classified and labeled over 500 customers’ chief complaints to gain an insight into the real demands of our customers.
Found 8 types of demands including disease counseling, symptom counseling, buying a prescription drug, and so on. Given the high volume of buying drug demand, we worked on preferentially sending such patients to doctors who have prescription rights to increase customer satisfaction and drug sales.

Led the development of Favorites feature to save doctors’ time in finding the desired template among over 250 templates. Besides, to help doctors form the habit of using templates, developed a function of intelligently recommending the three most befitting templates at the beginning of consultation according to patients’ symptom descriptions.
Supervised the development of a data dashboard that includes over 120 data indicators such as template sending rate and bounce rate to track template-related performance to decide incentives for doctors and optimize the recommendation function.

Assisted team in making strategic plans and construction on fundamental capability of intelligent healthcare to gradually realize case history automatic generation, AI disease diagnosis, and so on. Learned about knowledge graph, entity extraction, relation extraction, entity linking, etc. Participated in making rules and definitions for entities, relations of our knowledge graph, and NLP labeling for big data of doctor-patient dialogue.