趣链科技董事长李伟：技术不能只追求高大上，必须形成可持续的商业闭环

Core Insights - The "2025 China Enterprise Competitiveness Conference" was held in Beijing on December 9-10, highlighting the importance of data as a core production factor alongside land and capital [3][8] - Li Wei, Chairman of QuChain Technology, emphasized the role of "Blockchain + Privacy Computing" as foundational technology to bridge data innovation services with application scenarios [3][8] Healthcare Sector - QuChain Technology aims to address issues in China's healthcare system, such as data fragmentation and discipline separation, by creating a trusted medical data space that integrates resources from health authorities, hospitals, and data bureaus [3][8] - In the smart healthcare domain, the company is developing high-quality datasets and AI multimodal fusion models to enable intelligent diagnosis and imaging functions, exemplified by a collaboration with Peking University Dental Hospital to launch China's first dental AI medical registration certificate [3][8] Insurance Sector - The company has implemented a rapid claims project for accident insurance in Wenzhou, which connects data across health insurance, health commissions, hospitals, traffic police, and insurance companies, allowing patients to claim online without upfront costs [4][9] - This initiative has reduced insurance companies' annual costs by 80%, creating a win-win situation for users, companies, and data providers, with potential for nationwide expansion [4][9] Pharmaceutical and AI Innovation - QuChain Technology leverages integrated high-quality medical data to support drug development and foster more medical AI innovations, driving digital transformation in the healthcare industry [4][9] Financial Sector - The financial industry has high demands for data credibility and security, and QuChain Technology utilizes "Blockchain + Privacy Computing" to enable compliant sharing and efficient use of financial data, addressing privacy risks in multi-party data collaboration [4][10] - The company has established multiple replicable commercial cases in the financial sector, which is characterized by strong willingness to pay and clear demand for technology [10] Future Directions - Li Wei indicated the need to further explore data value across industries and promote more scenarios that achieve cost reduction and efficiency enhancement, aiming to build a standardized, vibrant, and integrated national data market [5][10]