The National Health Commission, National Administration of Traditional Chinese Medicine, and National Bureau of Disease Control and Prevention have jointly published the “Reference Guidelines for Artificial Intelligence (AI) Application Scenarios in the Healthcare Industry.” These guidelines provide a comprehensive framework for the integration of AI across various sectors within the healthcare industry, outlining four major categories with 13 service contents and 84 segmented application scenarios.
AI Application Categories in Healthcare
AI+ Medical Service Management
This category encompasses a range of AI applications, including intelligent outpatient services, follow-up care, case assistance generation, medical imaging diagnosis, surgical planning, and pharmaceutical services. It also extends to medical insurance services, such as the design and accounting of health insurance, and traditional Chinese medicine (TCM) management services, including research assistance and prescription reviews. Additionally, AI is applied in hospital management, covering medical quality, staff management, operating room management, pharmacy management, and consumables management.
AI+ Primary Public Health Services
AI is also integrated into primary public health services, which include health management, chronic disease management, psychological self-service, and public health services. The latter involves infectious disease monitoring, health emergency management, and group data analysis for public health.
AI+ Elderly Care Services
Within the realm of elderly care, AI applications focus on health management and care consulting services, aiming to improve the quality of life and healthcare accessibility for the aging population.
AI+ Health Industry Development
This category highlights the role of AI in the development of the health industry, including medical robots for surgery, rehabilitation, and TCM practices, as well as drug research and development. AI also plays a crucial role in the TCM industry, from ecological planting to bionic identification and production equipment.
AI+ Medical Teaching and Research
Lastly, AI is transforming medical teaching and research through virtual humans for patient education, intelligent resource generation, and science popularization. In medical research, AI applications include patient recruitment, research-oriented wards, literature mining, and data analysis, enhancing the efficiency and effectiveness of medical studies.
Conclusion
The “Reference Guidelines for AI Application Scenarios in the Healthcare Industry” provide a roadmap for the strategic integration of AI technologies, aiming to enhance service management, public health services, industry development, and teaching and research within the healthcare sector. These guidelines are a testament to the commitment of Chinese health authorities in leveraging AI to improve patient outcomes and streamline healthcare services.-Fineline Info & Tech
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