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中国医药导刊 ›› 2025, Vol. 27 ›› Issue (11): 1230-1230-1234.doi: magtech.2025.03.03-00004

• 管理实践 • 上一篇    下一篇

浅谈大数据技术在药学领域的应用与思考

杨莎, 安会杰, 郑珍, 张强*   

  1. 中国人民解放军南部战区总医院,广东 广州 510010
  • 收稿日期:2025-03-03 修回日期:2025-10-02 接受日期:2025-11-15 出版日期:2025-11-28 发布日期:2025-12-24
  • 基金资助:
    广州市科技计划项目(01509010012)

Application and Reflection of Big Data Technology in Pharmacy

YANG Sha, AN Huijie, ZHENG Zhen, ZHANG Qiang*   

  1. General Hospital of Southern Theater Command Guangdong Guangzhou 510010, China
  • Received:2025-03-03 Revised:2025-10-02 Accepted:2025-11-15 Online:2025-11-28 Published:2025-12-24

摘要:

信息化时代,数据无时无刻都在产生,数字化转型已成为国家发展战略。我国拥有丰富但尚未充分开发的医疗数据资源,如何将大数据技术与医疗领域深度融合,赋能药学服务,是当下研究的热点之一。目前,在药物研发层面,大数据技术在基因组信息分析、药物设计、毒性评估与预测等领域已有一定应用;临床应用层面,可支撑疾病管理、优化用药决策及监测不良反应;药品管理与监管层面,大数据技术在招标采购数智化、药品费用管控升级、互联网+智慧监管等方面均有涉及。大数据技术促进药物研发精准化、临床用药合理化及药品监管智慧化,但仍需完善数据治理框架、突破技术瓶颈并优化人才培养机制。政府、企业、医疗机构、学校协同构建“政策-技术-场景-教育”四位一体的发展生态,通过完善制度、加强技术创新和实践转化、促进教育革新等措施,实现药学领域的数字化转型战略目标,更好地提供以患者为中心的精准药学服务。本文总结归纳大数据技术在药学领域的实际应用场景,提出思考与展望,以期为进一步研究和应用提供参考。


关键词: 大数据技术, 药物研发, 临床应用, 药品管理, 药品监管

Abstract:

 In the information age data is constantly being generated and digital transformation has become a national development strategy. China has abundant but not yet fully exploited medical data resources. How to deeply integrate big data technologies with medical fields to empower pharmaceutical services is therefore one of the current research hotspots. Currently in drug research and development big data technologies have demonstrated utility in genomic analysis drug design and toxicity assessment and prediction. At the clinical level they can support disease management optimize medication decisions and monitor adverse drug reactions. Regarding pharmaceutical management and supervision these technologies have been applied to digitize bidding and procurement enhance drug cost control and "Internet + smart supervision".While big data technologies significantly enhance precision in drug R&D optimize clinical medication practices and enable intelligent regulatory oversight challenges remain including overcoming technical bottlenecks refining data governance frameworks and optimizing talent cultivation mechanisms. Through institutional refinement advancing technological innovation and practical application and promoting educational reform the strategic goal of digital transformation in the pharmaceutical field can be achieved thereby provide better patient-centered precision pharmaceutical services.This study summarizes real-world applications of big data technologies in the pharmaceutical field and offers insights and prospects to guide and inspire future research and application.


Key words:  , Big data technology , Drug research and development , Clinical application , Drug management , Drug supervision

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