Qingsong Health proposes health judgment infrastructure at the 2026 China Internet Development Symposium.

On April 19, the 2026 China Internet Development Symposium was held in Beijing. Zhang Yunming, member of the Party Leadership Group and Vice Minister of the Ministry of Industry and Information Technology, and Zhong Zhihong, Chief Engineer of the ministry, attended and delivered remarks. Shang Bing, Chairman of the Internet Society of China, presided over the meeting. Representatives from industry, leading internet companies, emerging technology companies, specialized and innovative enterprises, telecom operators and energy companies discussed topics including AI development, agent technology innovation and trustworthy governance, AI-enabled consumption upgrading, computing power and energy integration, and global expansion of enterprises.

The meeting emphasized that the 15th Five-Year Plan period will be critical for laying the foundation for basic socialist modernization. It called for greater R&D investment, stronger basic research and breakthroughs in core technologies, more open technology, data and market resources, and better integration among large, medium and small enterprises. It also called for forward-looking planning of new infrastructure such as 6G and the agent internet, the growth of emerging and future industries, continued improvement of service quality, protection of user rights, stronger cybersecurity and greater confidence in global digital economic cooperation.

Yang Yin, founder, chairwoman and CEO of Qingsong Health, attended as the only internet company representative from the health sector and delivered a thematic speech on AI-enabled consumption upgrading and the construction of a new digital consumption ecosystem.

Drawing on Qingsong Health's eleven years of digital health service experience and its service to 168 million registered users, Yang identified a structural gap in China's health sector: the most urgent missing infrastructure is not simply medical resources, but the ability to make sound health judgments. In everyday situations such as whether to go to the hospital, which department to visit or how to understand a test report, users often lack the judgment capability needed before entering the healthcare system.

Yang cited public health literacy data showing that basic medical literacy remains a weak point among residents. This matches Qingsong Health's front-line observation that excessive medical treatment and delayed care often coexist. One comes from anxiety-driven overreaction; the other comes from abandoning judgment under information overload. Both reflect a systemic lack of health judgment capability.

China has a healthcare market on the scale of RMB 20 trillion and the world's largest medical and insurance systems. Yet on the critical path from feeling unwell to entering a clinic, ordinary people still lack reliable infrastructure to support reasonable judgment. This is both a structural issue for healthcare and a responsibility that the internet industry should take on in the age of artificial intelligence.

Yang described three levels of value for using AI to solve health judgment problems. First, AI can turn vague anxiety into clearer judgment by helping users complete preliminary risk stratification, symptom recognition and care guidance before entering the healthcare system. Second, AI can turn professional information into action paths by helping users translate medical reports, examination results and medication instructions into personalized and executable health suggestions. Third, AI can turn one-time care into continuous health management, using its continuity, low cost and always-on nature to supplement chronic disease management, health tracking and long-term risk alerts.

Yang stressed that healthcare places higher demands on AI than ordinary consumer scenarios. In health, the greatest risk is not slowness but error. Medical AI therefore cannot stop at being able to answer; it must be evidence-based, verifiable and traceable. Moving from sounding expert-like to being evidence-based is the basic standard Qingsong Health sets for its technology and products. Based on this view, Qingsong Health launched QSevidence in 2026, a domestic evidence-based medical agent built on medical literature, clinical guidelines and authoritative evidence, with the goal of enabling AI to make responsible judgments in health scenarios.

Qingsong Health is also investing in health education, early screening promotion and chronic disease management, helping users move health management forward from treating illness after it appears to identifying risks early and making better judgments earlier.

At the end of her speech, Yang proposed that in the AI era, health judgment should be treated as part of digital consumption infrastructure. She suggested that the 15th Five-Year Plan should promote better connection between public and commercial AI health services, with particular support for primary-level and lower-tier markets, so reliable, affordable and high-quality health judgment capability can reach ordinary people more broadly.

For Yang, helping every ordinary person make a better judgment before entering the hospital may seem small, but it is a fundamental upgrade of health consumption. As a Hong Kong-listed digital health company, Qingsong Health will continue to use its strengths in AI technology and health services, participate deeply in AI plus actions and digital consumption ecosystem construction, serve national strategy through technology innovation, respond to people's needs through inclusive services, and contribute to Healthy China and high-quality intelligent economic development during the 15th Five-Year Plan period.

Original source: https://www.qingsonghealth.com/show-88.html