Core Insights - JD Health released its 2024 Environmental, Social, and Governance (ESG) report, showcasing its sustainable development practices in the healthcare sector, emphasizing safety, efficiency, convenience, and warmth in health consumption experiences [1] Compliance and Governance - In 2024, JD Health established a comprehensive compliance system with a focus on user health, implementing a "three-line defense" and "five dimensions" approach to ensure compliance across all operations, including drug management and internet hospital services [3] - The company achieved ISO13485 certification for medical devices, expanding its compliance certifications to cover all business areas, including drug management and internet hospitals [3] - JD Health published standardized treatment paths for 43 diseases and established 4 core medical quality management systems, totaling 265 standardized treatment paths and 16 core systems over two years, enhancing the quality management of online medical services [3] Service Innovation - JD Health innovated its healthcare service model to meet diverse user needs, achieving an average of over 490,000 online consultations per day by the end of 2024 [4] - The company created a closed-loop service model integrating "doctor consultations," "home tests," "home delivery of medications," and "home nursing," allowing patients to access comprehensive healthcare services from home [4] - JD Health expanded its "JD Home Fast Testing" services to 12 cities, offering 149 home testing products, and launched nearly 40 home nursing projects through the "JD Nurse at Home" service [4] Technological Empowerment - JD Health accelerated the application of large model technology across various service scenarios, aiming to provide a seamless online and offline healthcare experience [7] - The company introduced several intelligent health services, including "KangKang" health assistant and "ChatGPT-like" AI psychological companion, enhancing the efficiency and accuracy of healthcare services [7] - JD Health's "Smart Doctor Assistant" became the most widely used intelligent diagnostic tool among doctors, improving clinical decision-making and patient management [7] Social Responsibility - JD Health deepened its corporate social responsibility initiatives, aiding 637 patients through its rare disease care program, with a total value of assistance reaching 6.24 million yuan [8] - The "Medical Heart Station" project, in collaboration with top medical institutions, provided support to over 23,000 patients, improving the healthcare experience for rare disease patients [8] - The company conducted 22 donation activities in 2024, donating over 1.53 million health items to rural communities and disaster relief efforts [10] - JD Health launched a "Expired Medicine Recycling" initiative, successfully collecting and professionally disposing of 11 tons of expired medications, engaging 57,000 users across 315 cities [10]

Core Viewpoint - JD Health is leveraging AI to enhance medical health services, focusing on high-quality development through AI-driven solutions in health management and patient care [1][2]. Group 1: AI in Healthcare - AI is recognized as a new production factor that should address deep-rooted issues across various industries, particularly in healthcare [2]. - JD Health's "Jingyi Qianxun" medical model has been fully open-sourced, making it the first vertical model in the domestic healthcare sector to do so, which will lower the development barriers for medical AI applications [2][3]. - The AI diagnosis assistant 2.0 boasts a triage accuracy rate of 99.5%, with a 120% increase in electronic medical record writing efficiency and over 90% problem-solving rate [3]. Group 2: AI Products and Services - JD Health has launched several AI-driven services, including the intelligent health assistant "Kangkang" and the AI psychological companion "Therapeutic Little Universe," creating an online medical service ecosystem [3]. - The AI doctor digital entity is designed to provide 24/7 responses to patient inquiries, enhancing the efficiency of medical services [3]. Group 3: Data Security and Privacy - The company emphasizes that AI models learn from de-identified "knowledge data" rather than clinical data, addressing data security and privacy concerns [3]. - Patients are informed about the use of their data, allowing them to choose between protecting or sharing their information [3]. Group 4: Future Directions - JD Health aims to continuously explore the potential of AI in healthcare, focusing on technological innovation to build a safer, more efficient, and convenient medical service system [4].