• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

Main Stakeholder analysis of the application of artificial intelligence in the field of Medical University Library

Corresponding author: Lu Changfeng, 13810404509@139.com
DOI: 10.12201/bmr.202303.00001
Statement: This article is a preprint and has not been peer-reviewed. It reports new research that has yet to be evaluated and so should not be used to guide clinical practice.
  •  

    Abstract: Purpose/Significance This paper taked the application of AI in medical university libraries as the starting point, studied its application scenarios and typical cases, and then analyzed the main stakeholders and their interest demands and problems, and provided suggestions for promoting the application of AI in medical university libraries. Method/Process Literature research and telephone consultation were used to determine the application scenarios and typical cases of AI in medical university libraries, and the Mitchell scoring method and Clarkson classification were used to identify major stakeholders, and the interests and problems faced were analyzed. Results/Conclusions The application scenarios of AI in medical university libraries mainly include three dimensions: environment, resources and services. And the main stakeholders include governments, medical universities, medical university libraries, librarians, readers and AI vendors. Four countermeasures are suggested, improving the institutional guarantee for the application of AI in medical university libraries, strengthening the AI products of medical university libraries from the basic, technical and application levels, building the AI product testing platform and strengthen the post marketing monitoring of AI products, strengthening the construction of AI talents in medical university libraries and improve the AI knowledge literacy of readers.

    Key words: Medical university library; Artificial intelligence; Stakeholders; Mitchell scoring; Clarkson classification

    Submit time: 3 March 2023

    Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
  • 图表

  • Yufan Zhu, Xin Zhao, Zhiqiang Yang, Houcheng Zhong, Lin Cai, Yuanlong Xie. Prospect of the Training Model for Artificial Intelligence + Medicine Inter-disciplinary Talents. 2020. doi: 10.12201/bmr.202008.00010

    xiejunxiang. The composition of Key Technologies and Application in Medical Artificial Intelligence. 2020. doi: 10.12201/bmr.202005.00243

    Dong Kun, Yang Fen, Yang Yang. Application and Thinking of Artificial Intelligence in General Practitioner Training. 2023. doi: 10.12201/bmr.202305.00011

    wusijing, xubinbin, huangfeng. Development Status and Policy Suggestions of Medical Artificial Intelligence in Zhejiang Province. 2021. doi: 10.12201/bmr.202101.00015

    dongtingting. Study on the safety impact and countermeasures of medical artificial intelligence products on patients. 2020. doi: 10.12201/bmr.202012.00004

    ZhengYanli, Han Fuhai, LI Shuyu, SU Wenxing. Application Status and Prospect of Artificial Intelligence Large Models in Medicine. 2023. doi: 10.12201/bmr.202312.00027

    yanwencheng, lijunzhen, chenmei, 卢艳红. Artificial Intelligence for Stomatology: Application in Dental Endodontics. 2021. doi: 10.12201/bmr.202102.00003

    Li Ming. Analysis of doctors willingness to use medical artificial intelligence and influencing factors. 2023. doi: 10.12201/bmr.202312.00020

    Ming Li. Analysis of doctors' willingness to use medical artificial intelligence and influencing factors. 2023. doi: 10.12201/bmr.202307.00001

    zhaorui, shixiuyuan, zhongxueran, renping, tianxueqin, liuchunping, youmao. Construction of clinical application evaluation path of medical artificial intelligence technology based on health technology evaluationRui Zhao, Xiuyuan Shi, Xueran Zhong, Chunping Liu, Ping Ren, Xueqin Tian, Mao You. 2022. doi: 10.12201/bmr.202203.00005

  • ID Submit time Number Download
    1 2022-11-05

    bmr.202303.00001V1

    Download
  • Public  Anonymous  To author only

Get Citation

Lin Jinyin, Lu Changfeng. Main Stakeholder analysis of the application of artificial intelligence in the field of Medical University Library. 2023. biomedRxiv.202303.00001

Article Metrics

  • Read: 540
  • Download: 1
  • Comment: 0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误