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爱康集团发布《2025版北京市体检人群抽样健康报告》
Zheng Quan Ri Bao Wang·2025-06-28 02:44

Core Viewpoint - The report aims to decode health issues for Beijing residents through in-depth analysis of health checkup big data, emphasizing the importance of health awareness and disease prevention [1] Group 1: Health Report Overview - The "2025 Beijing Health Report" was released by iKang Health Technology Group in collaboration with the Beijing News, with academic support from Peking University [1] - This is the fourth health report targeting the health of Beijing's checkup population, focusing on nearly 1.5 million individuals who underwent health checks from April 1, 2024, to March 31, 2025 [1] Group 2: Health Challenges and Recommendations - The report highlights the impact of local diseases influenced by dietary structure, environment, and lifestyle, aiming to raise public health awareness and reveal disease risks [2] - Experts emphasize the importance of exercise in changing health trajectories and reducing risks of various diseases, advocating for proactive health management among residents [2] Group 3: Health Management Solutions - iKang provides integrated and personalized health management solutions, encouraging residents to take responsibility for their health and prioritize annual health checkups [3] - The report includes comprehensive statistical analyses of health conditions among the checkup population, covering demographics, cancer follow-up statistics, and abnormal results across 22 health metrics [3] Group 4: AI Integration in Health Management - iKang has launched the "iKangAI+" initiative, introducing over ten AI products for specialized screenings over the past seven years, creating a robust "iKang AI Matrix" [3] - The company upgraded its AI health assistant, iKKie, by integrating medical expertise with AI algorithms to enhance user experience and service delivery [3][4] - The "iKKie Health Manager" WeChat mini-program automates the health management process, providing a comprehensive service from report upload to professional verification [4]