人工智能在医院药学服务中的应用与发展
Application and Development of Artificial Intelligence in Hospital Pharmacy Services
DOI: 10.12677/ACM.2023.1381758, PDF,    国家科技经费支持
作者: 周晓倩, 杨富蓉, 杨松烨, 翁稚颖*：昆明医科大学药学院暨云南省天然药物药理重点实验室，云南 昆明；钱懿轶, 陈韦兆：云南省阜外心血管病医院药剂科，云南 昆明
关键词: AI；药学服务；处方前置审核；慢病管理；个体化用药；AI； Pharmacy Services； Pre-Prescription Review； Chronic Disease Management； Individualized Med-icine
摘要: 随着国家各项鼓励医疗人工智能(AI)政策的陆续出台，人工智能在医疗领域飞速发展，切实带动了多个方面的进步。在医院药学服务中，人工智能虽然起步较晚，但也充分展示出其发展的优势和潜力。处方前置审核、慢病管理、个体化用药是医院药学服务的重要内容，通过对人工智能在上述三方面工作中的应用和研究进展进行综述，同时展望其发展趋势，提出建议，以期为促进人工智能在医院药学服务中的发展提供更多的参考。其中包括对HIS系统中嵌入人工智能的处方前置审核系统、研发各类“互联网+”人工智能慢病管理平台、机器学习剂量预测模型和智能应用程序(APP)的联合应用等具体实现形式的分析和概括，提出基层医院的经费和设备与大型医院的差距、患者接受程度以及很多方面的发展停留在研发阶段可能是目前人工智能在医院药学服务方面发展的最大局限和亟待解决的问题。
Abstract: With the successive introduction of various national policies to encourage medical artificial intelli-gence (AI), artificial intelligence has developed rapidly in the medical field, effectively driving pro-gress in many aspects. In hospital pharmacy services, although artificial intelligence started late, it also fully demonstrated the advantages and potential of its development. Pre-prescription review, chronic disease management, and individualized medication are important contents of hospital pharmacy services, and by reviewing the application and research progress of artificial intelligence in the above three aspects, and looking forward to its development trend, suggestions are made in order to provide more references for promoting the development of artificial intelligence in hospital pharmacy services, including the analysis and summary of specific implementation forms such as the pre-prescription review system embedded in artificial intelligence in the HIS system, the re-search and development of various “Internet+” artificial intelligence chronic disease management platforms, the joint application of machine learning dose prediction models and intelligent applica-tions (APP), etc. It is proposed that the gap between the funds and equipment of grassroots hospi-tals and large hospitals, the degree of patient acceptance and the development of many aspects staying in the research and development stage may be the biggest limitation and urgent need to be solved in the current development of artificial intelligence in hospital pharmacy services.
文章引用：周晓倩, 钱懿轶, 杨富蓉, 杨松烨, 陈韦兆, 翁稚颖. 人工智能在医院药学服务中的应用与发展[J]. 临床医学进展, 2023, 13(8): 12536-12541. https://doi.org/10.12677/ACM.2023.1381758

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