Implementation Opinions on Promoting and Regulating the Application Development of “Artificial Intelligence + Healthcare”
Guo Wei Ban Gui Hua Fa [2025] No. 30
To the Health Commissions, Development and Reform Commissions, Industrial and Information Technology Authorities, departments in charge of industry and information technology, administrations of traditional Chinese medicine, and disease control administrations of all provinces, autonomous regions, municipalities directly under the Central Government, and the Xinjiang Production and Construction Corps, as well as all departments and bureaus of the Commission (Administration) and all directly affiliated and associated institutions:
In order to implement the State Council‘s “Opinions on Deepening the Implementation of the “Artificial Intelligence+” Initiative”(State Council Document [2025] No.11) and to empower the high-quality development of the healthcare industry with next-generation artificial intelligence, the following implementation guidelines are hereby proposed to promote and standardize the application and development of “Artificial Intelligence + Healthcare”.
I. General Requirements
Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will fully, accurately, and comprehensively implement the new development philosophy, adhere to the principles of government guidance, multi-party participation, innovation-driven development, and safety and controllability, promote the standardized application of artificial intelligence in the healthcare sector, continuously enrich application scenarios, enhance service capabilities, ensure service safety, optimize resource allocation, and innovate continuous intelligent services across the entire chain of prevention, diagnosis, treatment, rehabilitation, and health management, so as to better meet the growing health service needs of the people.
By 2027, a number of high-quality datasets and trusted data spaces in the healthcare industry will be established, along with a series of large-scale vertical models and intelligent agent applications for specialized clinical diseases. Intelligent auxiliary systems for primary care diagnosis and treatment, intelligent decision-making support for specialized clinical diseases, and intelligent patient consultation services will be widely adopted in healthcare institutions. A number of national AI application pilot bases in the healthcare sector will be basically established, creating more high-value application scenarios to drive the high-quality development of the health industry. By 2030, intelligent auxiliary applications for primary care diagnosis and treatment will achieve near-universal coverage, promoting the widespread implementation of AI technologies such as intelligent auxiliary diagnosis for medical imaging and intelligent decision-making support for clinical diagnosis and treatment in secondary and higher-level hospitals. The standardization system for "AI + Healthcare" applications will be largely perfected, and a number of globally leading bases for scientific and technological innovation and talent cultivation will be established.
II. Deepening Key Applications
1. Artificial Intelligence + Grassroots Applications
(1) Enhance intelligent applications in tightly integrated county-level medical consortia. Focus on primary care, strengthen the role of resource-sharing centers for medical imaging diagnosis, electrocardiogram (ECG) diagnosis, medical laboratory testing, pathological diagnosis, and sterilization supply, and improve the intelligent level of convenient and people-oriented services such as diagnosis and treatment services, basic public health, chronic disease collaborative management, family doctor contract services, and intelligent auxiliary diagnosis in traditional Chinese medicine.
(2) Establish intelligent auxiliary diagnosis and treatment applications for primary care physicians. Targeting common and frequently occurring diseases at the primary care level, develop intelligent auxiliary diagnosis and treatment applications to provide primary care physicians with intelligent services such as auxiliary diagnosis, prescription review, follow-up management, and traditional Chinese medicine (TCM) diagnosis and treatment. This will enhance the service capabilities of primary care in comprehensive auxiliary diagnosis, differential diagnosis of diseases, and medical imaging-assisted diagnosis.
(3) Strengthen standardized chronic disease management services for residents. Establish intelligent chronic disease management systems and personal health profiling applications, promote standardized access to electronic health records for individuals, and provide intelligent services such as chronic disease screening, assessment and grading, and personalized interventions. Support residents in self-health management and establish a new model of intelligent chronic disease management services at the primary care level.
(4) Strengthen health management, elderly care, and childcare services. In conjunction with the "Year of Weight Management" campaign, provide residents with personalized, scientifically sound, and intelligent dietary and exercise recommendations. Enhance intelligent services and supervision for elderly care and childcare. Promote intelligent applications for health management and daily care guidance for key populations such as the elderly, pregnant women, and children, thereby improving the awareness of self-health management across all demographics.
2. Artificial Intelligence + Clinical Diagnosis and Treatment
(5) Promote intelligent diagnostic services for medical imaging. Support provincial-level coordinated and centralized implementation of intelligent auxiliary services for medical imaging, including auxiliary diagnosis, report generation, image quality evaluation, and treatment plan recommendations. Encourage secondary and above hospitals to expand intelligent auxiliary diagnosis from single-disease to multi-disease per-organ, thereby improving diagnostic efficiency and report quality. Select high-level hospitals to conduct high-quality medical imaging data aggregation and application research, and support the development and iterative upgrades of large-scale artificial intelligence models.
(6) Expand auxiliary diagnosis and treatment services for specialized clinical diseases. Promote the expansion of intelligent clinical decision support application scenarios by national medical centers and national/provincial regional medical centers, focusing on intelligent auxiliary applications for clinical decision-making in major and complex diseases such as pediatrics, psychiatry, oncology, and rare diseases, to enhance the diagnostic capabilities of clinical specialists.
(7) Promote intelligent rehabilitation and medication services. Advance the adoption of smart medical devices such as rehabilitation robots and traditional Chinese medicine (TCM) acupuncture/tui na robots to achieve full coverage of intelligent rehabilitation services in rehabilitation specialty hospitals and rehabilitation departments of tertiary general hospitals. Develop smart pharmacies and promote intelligent applications including prescription dispensing, drug verification, and pre-prescription review.
3. Artificial Intelligence + Patient Services
(8) Optimize intelligent patient service processes. Secondary and above hospitals shall provide patients with comprehensive pre-diagnosis, in-diagnosis, and post-diagnosis services, including precise appointment triage, intelligent pre-consultation, cloud-based companion services, and intelligent follow-up. Promote the use of bedside intelligent devices to implement services such as condition monitoring and early warning, as well as bedside intelligent nursing, to enhance the patient experience. Facilitate cross-regional and cross-institutional mutual recognition and sharing of examination and test results. Promote intelligent services such as mobile payment, one-stop medical insurance settlement, rapid commercial insurance claims, satisfaction surveys, and post-hospital management.
(9) Strengthen intelligent referral services. Support the provincial-level establishment of an intelligent referral information system to rationally allocate referral resources between primary healthcare institutions and secondary or higher-level hospitals based on regional medical resource distribution, departmental workload, and patient emergency severity, thereby providing intelligent referral services for patients.
4. Artificial Intelligence + Traditional Chinese Medicine
(10) Enhance the application of intelligent TCM diagnosis and treatment. Focusing on real-world clinical data and evidence-based medicine data in TCM, construct specialized clinical knowledge bases for TCM diseases and clinical medication knowledge bases, forming a series of high-quality datasets to support the development of large-scale TCM diagnostic and therapeutic models. This will improve the auxiliary clinical diagnostic and therapeutic capabilities of TCM and enhance the rational use of traditional Chinese medicines.
(11) Strengthen intelligent management of the entire lifecycle of traditional Chinese medicine (TCM). Encourage TCM research institutions, as well as planting and manufacturing enterprises, to establish comprehensive traceability systems for medicinal materials. Explore the development of digital twin systems for authentic medicinal material cultivation to achieve full-process monitoring, guidance, and traceability. Promote the digital collection and intelligent analysis of information during the processing of TCM decoction pieces, thereby realizing intelligent management of the entire lifecycle of TCM cultivation, processing, and utilization.
(12) Promote intelligent upgrading of traditional Chinese medicine (TCM) equipment. Encourage localities to develop intelligent diagnostic devices for TCM, enabling quantitative collection and analysis of "four diagnostic methods" data. Explore the application of intelligent devices such as acupuncture and massage robots. Support the development of personalized intelligent decoction equipment for TCM, driving the technological advancement of traditional techniques.
5. Artificial Intelligence + Public Health
(13) Strengthening infectious disease surveillance and early warning. Establish a closed-loop management system covering the entire process of surveillance, early warning, and response, and advance the upgrade of intelligent epidemiological investigation systems to provide real-time and precise support for infectious disease prevention and control decision-making. Accelerate the deployment of the national intelligent infectious disease surveillance and early warning front-end software in medical institutions using the national infectious disease reporting system. Optimize the rapid detection and intelligent analysis applications for risks such as clusters of infectious disease cases and syndromes, as well as abnormal changes.
(14) Strengthening Health Emergency Management and Response. Enhance the in-depth application of artificial intelligence in public health and disease prevention and control, improve the monitoring and early warning of public health emergencies, integrate health information data resources, monitor medical treatment and health emergency information, predict and warn of health emergency risks, recommend response plans, and achieve intelligent response.
(15) Strengthen management of key diseases and high-risk populations. Provincial-level authorities shall coordinate the application of intelligent auxiliary diagnosis technologies for pathology, B-ultrasound, and radiological imaging to enhance early disease screening. Implement intelligent early diagnosis for occupational diseases and improve the application of intelligent personal protective equipment (PPE). Enhance intelligent monitoring services for public psychological issues, with a focus on students, providing intelligent screening, early warning alerts, intervention services, and follow-up analysis for psychological problems.
6. Artificial Intelligence + Scientific Research and Teaching
(16) Deepen the intelligent application of medical scientific research. Relying on National Medical Centers, National Clinical Research Centers, and key universities, promote the joint construction, sharing, and utilization of intelligent agents in areas such as literature review, research protocol generation, data collection and analysis, scientific research resource management, research data security, research-oriented wards, and clinical trials, thereby enhancing the efficiency and quality of scientific research work.
(17) Expand health science popularization services. Encourage local authorities to provide personalized intelligent health knowledge dissemination and customized health information services to the public, while innovating knowledge delivery methods for medical professionals in areas such as intelligent medical literature analysis, scientific question discovery, and academic evaluation of scientific and technological achievements.
(18) Promote the translation of pharmaceutical research achievements. Drive high-quality development of the pharmaceutical industry by encouraging national medical centers, regional medical centers, and clinical medical research centers to collaborate with drug manufacturers in developing novel drug screening models targeting major diseases, rare diseases, and diseases specific to certain populations, thereby accelerating intelligent drug development. Support the integration of comprehensive clinical data from traditional Chinese medicine (TCM) and application data of TCM to establish rapid and efficient combination drug optimization models, assisting in the optimization of TCM formulations and the development of innovative TCM drugs.
7. Artificial Intelligence + Industry Governance
(19) Promote intelligent management in healthcare institutions. Strengthen precise analysis of medical management data, including intelligent quality control of medical services, cost management of medical expenses, and single-disease cost management. Implement intelligent allocation of medical equipment and consumables, as well as intelligent management of operating rooms and pharmacies. Enhance intelligent management of hospital quality, medical services, logistics, logistics, and safety.
(20) Strengthen intelligent supervision in the healthcare industry. Promote coordinated development and governance of medical services, healthcare insurance, and pharmaceuticals, integrating the advancement of healthcare reform with digital and intelligent empowerment. Conduct real-time collection and analysis of key case data to achieve intelligent monitoring, analysis, and early warning of healthcare resources, services, quality, safety, and capacity levels. Establish a provincial-level regional intelligent auxiliary decision-making system for emergency allocation and disposal of medical resources in response to public health emergencies.
(21) Deepen the intelligent application of emergency treatment systems. Establish a nationally unified intelligent emergency command system to enhance the rescue capabilities for critical conditions such as myocardial infarction (MI), stroke, and trauma. Develop an intelligent blood management system to strengthen inventory monitoring and coordinated supply assurance. Improve the intelligent monitoring, early warning, and tiered response system for drug shortages, ensuring precise reserve and rational allocation of clinically essential medications as needed.
8. Artificial Intelligence + Health Industry
(22) Develop intelligent new service formats. Promote the concept of health consumption and encourage the development of new service formats such as intelligent health check-ups, health consultation, and health management. Support local innovations in intelligent medical service models, promote innovative health products, and conduct health knowledge consultation and publicity on rational drug use and chronic disease management. Accelerate the application and promotion of intelligent physiotherapy technologies, and support eligible artificial intelligence products to enter clinical trials.
(23) Enhance the innovation capacity of intelligent medical equipment. Support medical equipment manufacturers in collaborating with healthcare institutions, research institutes, and other upstream and downstream entities in the industrial chain to conduct R&D on intelligent medical equipment, with a focus on advancing intelligent upgrades in fields such as medical imaging, diagnostic testing, treatment, monitoring, and life support. Encourage joint applications for participation in the Artificial Intelligence Medical Device Innovation Task List. Support the first (set) application of domestically produced intelligent medical equipment in healthcare institutions, and promote the adoption of intelligent medical equipment that leads the nation in technological innovation and clinical application levels.
(24) Promote innovation in the intelligent information industry. Strengthen the research and development of artificial intelligence standard datasets, corpora, and core application components, support the establishment of high-quality trusted data spaces for healthcare data across regions, and encourage the development of large-scale vertical models for the healthcare industry. Incubate specialized and professional medical intelligent agents.
III. Strengthening Application Foundations
1. Strengthening Infrastructure Development. Intensively construct a two-tier national and provincial integrated health information platform to achieve vertical connectivity across all four levels (national, provincial, municipal, and county) and horizontal connectivity with all public and private healthcare institutions. Establish a master index using ID numbers as unique identifiers for personal health information, standardize the collection of outpatient and inpatient data, and establish a national medical health data center and disaster recovery center.
2. Enriching the supply of medical data. Promote the coordination among the three medical sectors (healthcare, pharmaceuticals, and medical insurance) and cross-departmental data sharing, optimize data collection and annotation processes, improve data annotation in the healthcare field, facilitate compliant, efficient, secure, and orderly interconnection of data elements, and enhance their application.
3. Optimizing AI Computing Algorithms. In accordance with the national computing infrastructure master plan and layout, and in conjunction with national AI application pilot bases, support provincial-level coordinated establishment of industry-wide public support service platforms to provide unified, efficient, and open AI computing services. Encourage accelerated development of core algorithms and promote the development and application of large-scale vertical models in the healthcare sector. Advance the construction of open-source medical AI software to continuously enhance the level of collaborative sharing.
4. Strengthening the Construction of Pilot Test Bases. Focusing on key areas such as clinical diagnosis and treatment, patient services, medical research, pharmaceutical and medical device development, traditional Chinese medicine, and infectious disease prevention and control, establish national artificial intelligence application pilot test bases for the health industry. Develop a full-stack co-creation platform with capabilities in computing power services, model services, data services, and application pilot testing verification.
5. Strengthening Scientific and Technological Talent and Standard Support. Enhance the strategic deployment of artificial intelligence (AI) technologies in national major scientific and technological projects within the healthcare sector, providing robust technological support for AI-powered healthcare. Establish and improve relevant policies, application standards, and ethical guidelines, and build a system for technical monitoring, risk early warning, and emergency response. Support the establishment of AI interdisciplinary talent training bases in the healthcare industry, innovate talent evaluation mechanisms, and develop incentive mechanisms for the commercialization of scientific and technological achievements.
IV. Standardizing Safety Supervision
1. Optimize the industry management and review system. Improve the comprehensive governance mechanism involving government supervision, institutional self-governance, industry self-discipline, and social oversight. Implement tiered and categorized management, establish evaluation standards and guidelines based on service recipients, product purposes, and risk levels, and clarify regulatory responsibilities. Promote standardized registration of large models in the healthcare sector and optimize the review procedures for artificial intelligence applications.
2. Innovating Regulatory Approaches and Early Warning Mechanisms. Strengthen supervision across all stages of artificial intelligence (AI) development, review, access, and application, and conduct application monitoring and evaluation. Establish comprehensive model evaluation and validation systems, implementing penetrating supervision from perspectives such as medical quality and safety, personal privacy, and data security, while enhancing dynamic monitoring and early warning capabilities.
3. Strengthening Data Security and Personal Privacy Protection. Enhance security measures for healthcare institutions and research organizations, establish a clinical data authorization operation management system, formulate negative lists for data security management and personal information protection, build a comprehensive data security protection framework for intelligent applications, and promote standardized data circulation and sharing.
V. Strengthening Organizational Support
1. Strengthening Institutional Development. Encourage localities to enhance scientific research support, vocational support, and talent evaluation mechanisms for artificial intelligence (AI), while improving supporting policies on pricing, payment, and distribution, and increasing financial support. Establish management measures for network data security and personal information protection to ensure the safe, reliable, and controllable development of AI.
2. Strengthening Pilot Demonstration. Leverage the roles of national artificial intelligence application pilot bases and national intelligent social governance experimental characteristic bases in the health sector to conduct pilot projects for high-quality dataset construction and trusted data space development. Promote the implementation of artificial intelligence R&D and applications, optimize working mechanisms, and continuously stimulate innovation and creativity.
3. Strengthening Publicity and Cooperation. Enhance policy promotion and standardized guidance to prevent disorderly competition and resource waste, fostering a favorable development environment. Intensify international exchanges on artificial intelligence technologies and governance applications, adhering to the principles of mutual benefit and win-win outcomes, as well as intelligent benevolence, to promote technological inclusiveness and shared achievements.
General Office of the National Health Commission
General Office of the National Development and Reform Commission
Office of the Ministry of Industry and Information Technology
Comprehensive Department of the National Administration of Traditional Chinese Medicine
Comprehensive Department of AdministrationNational Administration of Disease Control and Prevention
October 20, 2025
