Advances in the application of AI in chronic disease management in primary care

HU Jiamin; QIU Yan; REN Jingjing

doi:10.16766/j.cnki.issn.1674-4152.003431

Volume 22 Issue 3

Mar. 2024

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Article Navigation > Chinese Journal of General Practice > 2024 > 22(3): 481-485

HU Jiamin, QIU Yan, REN Jingjing. Advances in the application of AI in chronic disease management in primary care[J]. Chinese Journal of General Practice, 2024, 22(3): 481-485. doi: 10.16766/j.cnki.issn.1674-4152.003431

Citation:

HU Jiamin, QIU Yan, REN Jingjing. Advances in the application of AI in chronic disease management in primary care[J]. Chinese Journal of General Practice, 2024, 22(3): 481-485. doi: 10.16766/j.cnki.issn.1674-4152.003431

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Advances in the application of AI in chronic disease management in primary care

doi: 10.16766/j.cnki.issn.1674-4152.003431

HU Jiamin¹
, QIU Yan¹
, REN Jingjing^{1
,
,}

1.
Department of General Practice, the First Affiliated Hospital, Zhejiang University school of Medicine, Hangzhou, Zhejiang 310003, China

Funds:

72274169

Received Date: 2023-03-28
Available Online: 2024-05-27

Abstract

Abstract

In the current healthcare sector, the integration of artificial intelligence (AI) technology has opened new avenues for improving the efficiency and quality of chronic disease management. Especially within primary healthcare systems, the application of AI is gradually transitioning from theory to practice, supporting general practitioners in better responding to patient needs and providing personalized and efficient medical services. In the field of chronic disease management, the involvement of AI has made the comprehensive management of chronic diseases more intelligent, enhancing the accuracy of prevention, diagnosis, and treatment. The role of general practitioners, with the aid of AI, is also undergoing a transformation; they are no longer simply the executors of diagnosis and treatment, but have become integrators of medical resources and guides for patient health management. AI can provide personalized rehabilitation treatment plans based on patients ' conditions and needs. Intelligent technology can be used to continuously monitor patients ' vital signs and changes in their condition, alerting potential health risks. AI can also assist patients in improving their lifestyle habits, such as by using smart reminders and behavioral guidance to help patients maintain a reasonable diet and exercise. AI can build local health education knowledge bases, popularizing knowledge and management skills for chronic diseases. However, the limitations of information technology may lead to insufficient data processing capabilities and service coverage. Security and privacy issues require strict compliance with relevant laws and regulations to ensure protection. Moreover, over-reliance on AI technology may overlook the human care and direct communication between doctors and patients. In the future, by strengthening the understanding and mastery of AI technology among primary healthcare workers, and by increasing the public ' s awareness and acceptance of AI technology, we can promote the deep application of AI in grassroots chronic disease management, making a positive contribution to improving the health level of the entire population.
- Artificial intelligence,
- Primary health care,
- Chronic disease management,
- General practitioners

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References(36)

References

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Advances in the application of AI in chronic disease management in primary care

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