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[1]武思齐庞潇李丹妮郭薇刘济远黄艳.人工智能在口腔互联网医院健康管理中的应用研究[J].中国卫生质量管理,2025,32(12):8-12.[doi:10.13912/j.cnki.chqm.2025.32.12.02]
　WU Siqi,PANG Xiao,LI Danni.Research on the Application of Artificial Intelligence in Health Management of Oral Internet Hospitals[J].Chinese Health Quality Management,2025,32(12):8-12.[doi:10.13912/j.cnki.chqm.2025.32.12.02]

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人工智能在口腔互联网医院健康管理中的应用研究

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R] 卷: 32 期数: 2025年12期页码: 8-12 栏目: 特别关注出版日期: 2025-12-15

Title:: Research on the Application of Artificial Intelligence in Health Management of Oral Internet Hospitals

作者:: 武思齐庞潇李丹妮郭薇刘济远黄艳; 四川大学华西口腔医院

Author(s):: WU Siqi; PANG Xiao; LI Danni; West China Hospital of Stomatology, Sichuan University

关键词:: 口腔专科医院; 人工智能; 大语言模型; 全周期健康管理

Keywords:: Oral Specialty Hospital; Artificial Intelligence; Large Language Model; Full-Cycle Health Management

分类号:: R197.323

DOI:: 10.13912/j.cnki.chqm.2025.32.12.02

文献标志码:: B

摘要:: 目的探索人工智能技术在口腔专科健康管理中的应用，提高诊疗效率和服务质量。方法采用自然语言处理、模式匹配和大模型等人工智能技术，构建了口腔专病多模态知识库及知识图谱，在此基础上建立互联网医院健康管理平台，从患者端、医生端和管理端三方面，提供以智能问诊及全周期疾病管理决策支持为核心的多项服务。结果平台自2024年上线以来，服务患者量超过2.5万人次，100% 覆盖符合随访条件的患者，患者满意度达98.5%，门诊患者平均预约诊疗率提升至99.95%，辅助诊断准确度由68%提升至96%。结论基于人工智能的口腔互联网医院健康管理平台提高了服务质量及效率，改善了患者就医体验。

Abstract:: ObjectiveTo explore the application of artificial intelligence (AI) technologies in oral specialty health management, aiming to enhance diagnostic and treatment efficiency as well as service quality.MethodsBy utilizing AI technologies such as natural language processing, pattern matching, and large language models, a multimodal database and knowledge graph for oral-specific diseases were constructed. Based on this foundation, an internet hospital health management platform was established, offering multiple services centered on intelligent inquiry and full-cycle disease management decision support from the perspectives of patients, physicians, and administrators.ResultsSince its launch in 2024, the platform has served over 25 000 patient visits, achieving 100% coverage of patients eligible for follow-up in the department. Patient satisfaction reached 98.5%, the average appointment rate for outpatient consultations increased to 99.95%, and the accuracy of auxiliary diagnosis improved from 68% to 96%.Conclusion The AI-based health management platform for oral specialty internet hospitals has enhanced both service quality and efficiency, significantly improving the patient healthcare experience.

参考文献/References:

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更新日期/Last Update: 2025-12-15