Artificial intelligence application in hospital pharmaceutical service： a bibliometric analysis

FU Suqin; HAO Chenye; PENG Jun

doi:10.6039/j.issn.1001-0408.2024.04.21

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Artificial intelligence application in hospital pharmaceutical service： a bibliometric analysis

更新时间：2024-02-23

- Artificial intelligence application in hospital pharmaceutical service： a bibliometric analysis
- ZHONGGUO YAOFANG Vol. 35, Issue 4, Pages: 494-499(2024)
- 作者机构：
  
  1.上海市浦东新区东明社区卫生服务中心，上海　200123
  2.上海健康医学院图文信息中心，上海　201318
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2024.04.21
  CLC： R95;TP18
- Published：29 February 2024，
  
  Received：12 July 2023，
  
  Revised：19 January 2024，
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付素琴,郝辰业,彭骏.人工智能应用于医院药学服务领域的文献计量学分析 ^Δ[J].中国药房,2024,35(04):494-499.

FU Suqin,HAO Chenye,PENG Jun.Artificial intelligence application in hospital pharmaceutical service： a bibliometric analysis[J].ZHONGGUO YAOFANG,2024,35(04):494-499.
付素琴,郝辰业,彭骏.人工智能应用于医院药学服务领域的文献计量学分析 ^Δ[J].中国药房,2024,35(04):494-499. DOI： 10.6039/j.issn.1001-0408.2024.04.21.

FU Suqin,HAO Chenye,PENG Jun.Artificial intelligence application in hospital pharmaceutical service： a bibliometric analysis[J].ZHONGGUO YAOFANG,2024,35(04):494-499. DOI： 10.6039/j.issn.1001-0408.2024.04.21.

摘要

目的

分析国内外人工智能在医院药学服务领域中的应用研究现状和趋势。

方法

在Web of Science、中国知网中检索建库起至2023年6月16日的人工智能技术在医院药学服务领域中应用的研究文献。使用EndNote、CiteSpace、Python等工具对纳入文献的作者、国家/地区、机构以及关键词的共现、聚类和突现情况进行可视化处理和分析。结果与

结论

共纳入了英文文献1 190篇和国内文献178篇。国内外的发文量都呈逐年增加的趋势，国内研究的数量和质量与国外相比仍有差距。欧美地区在该领域已经构建了紧密的合作网络，而我国在该领域的地区发展尚不平衡。国外的研究热点主要集中在机器学习、自然语言处理和深度学习等高端技术的开发和应用方面；国内研究更侧重于实际的医疗服务和医疗政策，特别是推动合理用药、处方审核以及中医药发展等方面。

Abstract

OBJECTIVE

To analyze the current status and trend in the application of artificial intelligence in pharmaceutical service in China and globally.

METHODS

The research literature on the application of artificial intelligence technology in the field of hospital pharmaceutical service from database establishment to June 16， 2023， was searched in Web of Science and CNKI. The authors， countries/regions， institutions and the co-occurrence， clustering， and emergence of keywords were visually processed and analyzed using tools including Endnote， CiteSpace， and Python.

RESULTS &

CONCLUSIONS

Overall， 1 190 global literature and 178 Chinese literature were included. The number of publications issued in China and globally is increasing year by year， yet a gap remains in the quantity and quality of Chinese research compared with global research. Europe and the United States have built a close cooperation network in this field， while China’s regional development in this field remains imbalanced. Global research hotspots mainly focus on the development and application of high-end technologies such as machine learning， natural language processing

and deep learning； Chinese research concentrates more on actual medical services and medical policies， especially in promoting rational drug use， prescription review， and the development of traditional Chinese medicine.

关键词

人工智能药学服务文献计量学可视化分析

Keywords

pharmaceutical servicebibliometricsvisual analysis

references

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School of Pharmaceutical Sciences， Capital Medical University

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