Qwen APP Deeply Integrates with the National Medical Products Administration Data, Launching Millions of Authoritative Information on Medicines and Medical Devices

On May 15, the Qwen APP officially announced a deep strategic cooperation with the Information Center of the State Administration for Drug Regulation. Through this collaboration, the Qwen APP has comprehensively integrated millions of authoritative national data resources covering medicines, cosmetics, and medical devices.

This move marks a critical step in the compliance and professional development of domestic large models in vertical fields, aiming to address the widespread "hallucination" issues in AI for health consultations. By real-time verification through national authoritative databases, it provides tens of millions of users with accurate medication guidance, ingredient analysis, and device verification services.

With access to massive authoritative data, the Qwen APP has achieved a systematic upgrade in functional logic. In scenarios of medication consultation, the model can provide detailed analysis on dosage, contraindications, and potential adverse reactions, and can also identify the authenticity of medicines by combining national approval information. Furthermore, the scope of cooperation has expanded into consumer-level health areas, covering all domestically required cosmetic ingredient searches, as well as usage guidelines for home medical devices such as blood pressure monitors and therapy equipment. As the model dynamically synchronizes with the drug regulatory administration's data, the AI assistant is accelerating toward becoming an intelligent advisor with "quasi-medical level" competence.

This collaboration not only enhances the knowledge density of general large models in the field of people's livelihood health, but also reflects the strategic shift of AI companies towards data compliance and social responsibility. By introducing national authoritative sources as the underlying support, AI health services are evolving from simple "information retrieval" to "authoritative decision-making assistance," which will strongly promote the standardization of the industry ecosystem and build a more trustworthy human-computer interaction trust system.