State Drug AdministrationToday's issue ofDrug RegulationList of Typical Application Scenarios of Artificial Intelligence (hereinafter referred to as the List) aims topromoteArtificial Intelligence TechnologyResearch and exploration in the field of drug regulation.
The list lists 15 application scenarios, such as aging-friendly modification of manuals, business processing and policy consultation, etc. The full content can be downloaded from the link:
https://www.nmpa.gov.cn/directory/web/nmpa/images/1718692988524046747.doc
AttachedPublic ServiceThe application scenarios are as follows:
Instruction manual for aging adaptation
Artificial intelligence technology can be used to adapt drug instructions to the needs of the elderly. Many elderly people face difficulties in reading and understanding drug instructions. Using artificial intelligence big language models,It can convert professional terms and complex expressions in drug instructions into easy-to-understand language, or extract information suitable for the current user in the instructions to carry out customized instructions; the instructions can also be converted into structured information, such as ingredients, usage, side effects, etc., to facilitate quick query of specific information. Artificial intelligence technology can be used in the form of multiple rounds of human-computer voice dialogue, voice broadcast, and generation of large-font instructions QR code.Assisting the elderly in obtaining drug informationArtificial intelligence empowers the adaptation of drug instructions to the elderly, which helps improve the medication experience of the elderly.
Business handling and policy consultation
Artificial intelligence technology is applicable to various customer service scenarios, improving customer service response speed and answer quality. The large language model embedded with business data and relevant policies and regulations has powerful query, analysis and answer capabilities, which can improve the quality of business processing, information query and policy consulting services for the public, and answer various questions from the public through multiple rounds of human-computer conversations.Lowering the operational threshold for the public to conduct inquiries, reducing the labor cost of manual customer service and improving the timeliness and standardization of business services. In addition, the large language model can be used to realize interactive intelligent declaration, replacing traditional declaration methods such as form filling with multi-round question-and-answer methods, realizing the functions of relevant information verification, data filling, attachment uploading, attachment intelligent review, progress inquiry, electronic license inquiry, etc. for the handling of government affairs services for pharmaceutical companies, allowing companies to quickly complete business declaration and inquiry in "chat" mode.