As the 14th Five-Year Plan approaches its conclusion, the blueprint for the 15th Five-Year Plan is being drawn. As the main body of China’s healthcare service system, how should public hospitals strategically plan, build disciplines, and enhance services in the next five years?
Last month, the Fourth Plenary Session of the 20th Central Committee was held in Beijing from October 20 to 23, 2025. This meeting reviewed and approved the “Suggestions of the Central Committee of the Communist Party of China on Formulating the 15th Five-Year Plan for National Economic and Social Development,” outlining the development blueprint for China in the next five years, and proposed the main goals for economic and social development during the 15th Five-Year Plan period.
Lei Haichao, Secretary of the Party Leadership Group and Director of the National Health Commission, stated at a press conference that the “Suggestions of the Central Committee of the Communist Party of China on Formulating the 15th Five-Year Plan for National Economic and Social Development” is based on promoting comprehensive human development and common prosperity for all people, making solid steps towards further planning and deployment in health and population. This points to a core: the healthcare system is beginning a historic shift from “disease treatment-centered” to “health promotion-centered.” Three points are closely related to the future development of hospitals and are also the direction of the AI Robot Comprehensive Follow-up Platform, which is a key tool for various medical institutions to implement national health policies and improve the quality and efficiency of medical services.
1. From “Disease Treatment” to “Health Promotion”
Strategic Transformation
The service direction must fully shift to being health-centered, allowing the public to become less ill and healthier..The AI Robot Comprehensive Follow-up Platform customizes “thousands of faces” of health education content for each patient based on multidimensional data such as personal health records, lifestyle habits, and medical history. The platform can automatically identify patient needs and push personalized health knowledge, disease prevention guidelines, and lifestyle suggestions, fundamentally reducing the incidence of diseases and truly achieving the health promotion goal of “preventing diseases before they occur.” The AI robot intelligently generates exclusive health education content based on patient characteristics such as age, gender, medical history, and lifestyle habits, transforming health education from “broad irrigation” to “precise drip irrigation,” significantly enhancing patient health awareness and self-management capabilities.
2. From “Fragmented Services” to “Full Chain Integration”
Model Reconstruction
The service model must emphasize full chain integration, allowing the public to suffer fewer serious illnesses and recover earlier.The AI Robot Comprehensive Follow-up Platform connects data from outpatient, medical technology testing, and inpatient systems, establishing a comprehensive patient disease history file. From the first visit to recovery follow-up, the platform records the patient’s health trajectory throughout the entire process, achieving full chain service integration from “prevention-diagnosis-treatment-recovery.” Through intelligent analysis, the platform can provide early warnings of potential health risks, offering doctors more comprehensive diagnostic and treatment bases, allowing medical services to transition from “fragmented” to “integrated.” The platform integrates treatment information from different departments and time points, forming a complete health view, enabling doctors to better understand the patient’s condition and develop more precise treatment plans.
3. From “Scale Expansion” to “Quality Leap”
Path Transformation
As the DRG/DIP payment reform deepens, it requires medical institutions at all levels to “improve the quality and efficiency of medical services and optimize resource allocation.”The AI Robot Comprehensive Follow-up Platform, through human-machine collaboration, allows AI to replace a large amount of homogenized work done by medical staff, such as follow-ups, data entry, and report organization, freeing up more energy for healthcare personnel to focus on high-value medical work. The platform automatically collects and analyzes patient satisfaction data, generating intelligent analysis reports to provide precise data support for hospital management decisions, helping hospitals achieve sustainable development under medical insurance cost control. At the same time, through AI-driven personalized services, patient satisfaction is significantly improved, creating a quality reputation for hospitals and achieving a leap from “scale expansion” to “quality leap.”
Fuzhou Lingyi Technology丨Healthcare AI Enabler
Official Website：https://ai-hospital.cn