AI在基层医疗慢性病管理中的应用研究进展

胡佳敏; 邱艳; 任菁菁

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

AI在基层医疗慢性病管理中的应用研究进展

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

1.
浙江大学医学院附属第一医院全科医学科，浙江杭州 310003
2.
杭州市余杭区第二人民医院中泰分院全科医学科，浙江杭州 311121

基金项目:

国家自然科学基金面上项目 72274169

详细信息

通讯作者:
任菁菁，E-mail: 3204092@zju.edu.cn

中图分类号: R197.324 R197.6
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- 文章访问数: 475
- HTML全文浏览量: 89
- PDF下载量: 35
- 被引次数: 0
出版历程
- 收稿日期: 2023-03-28
- 网络出版日期: 2024-05-27

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

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

摘要

摘要: 在当前医疗卫生领域，人工智能(AI)技术的融入为提高慢性病管理效率和质量开辟了新途径。尤其在基层医疗体系中，AI的应用正逐步实现从理论到实践的跨越，助力全科医生更好地响应患者需求，提供个性化和高效率的医疗服务。在慢性病管理领域，AI的介入使得慢性病的综合管理变得更为智能化，提高了预防、诊断和治疗的准确性。在AI辅助下，全科医生的角色由单纯的诊疗执行者，转变为医疗资源的整合者和患者健康管理的指导者。AI能够依据患者的病情和需求，提供个性化的康复治疗方案；智能技术可用于持续监测患者的生命体征和病情变化，预警可能的健康风险；AI还能辅助患者改善生活习惯，如通过智能提醒和行为引导帮助患者坚持合理的饮食与运动；AI能构建地方性的健康教育知识库，普及慢病知识与管理技巧等。然而，信息技术的局限性可能导致数据处理能力和服务覆盖面的不足；需要严格遵守相关法律法规保障安全和隐私；此外，过度依赖AI技术可能忽视了医生与患者之间的人文关怀和直接交流。未来通过强化基层医疗人员对AI技术的理解和掌握，提高公众对AI技术的认知和接受度，从而推动AI技术在基层慢病管理中的深入应用，为提升全民健康水平作出积极贡献。
- 人工智能 /
- 基层医疗 /
- 慢病管理 /
- 全科医生
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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