Bottlenecks of digital transformation in China’s biopharmaceutical industry and corresponding suggestions

doi:10.12267/j.issn.2096-5931.2024.03.012

Abstract

Abstract:

As an emerging emerging industry in China, the biopharmaceutical industry is facing difficulties both internally and externally. Digital transformation has become a necessary path for overcoming adversities. However, the digital transformation of the biopharmaceutical industry is currently constrained by four major bottlenecks: insufficient data foundation, relatively lagging policy regulation, lack of targeted evaluation systems, and shortage of compound talents. The progress of transformation is relatively backward. It is recommended to accelerate the digital transformation of the biopharmaceutical industry by unifying data standards, establishing public data resource systems, innovating regulatory models, constructing transformation evaluation systems, and cultivating talent teams.

Key words: digital transformation, biopharmaceutical industry, pharmacy, bottleneck, suggestion

CLC Number:

WANG Xiaoling. Bottlenecks of digital transformation in China’s biopharmaceutical industry and corresponding suggestions[J]. Information and Communications Technology and Policy, 2024, 50(3): 79-82.

Add to citation manager EndNote|Ris|BibTeX

URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.03.012

http://ictp.caict.ac.cn/EN/Y2024/V50/I3/79

References 9

[1]	朱姝. 新形势下我国生物医药产业面临的机遇与挑战[J]. 科技中国, 2023(8):17-21.
[2]	The White House Office of Science and Technology Policy, U.S.Department of Energy, U.S.Department of Agriculture, et al. Bold goals for U.S.biotechnology and biomanufacturing[Z], 2023.
[3]	曹慧莉, 魏国旭. 2022年我国生物医药产业发展形势展望[J]. 科技中国, 2022(1):43-46.
[4]	东海证券. 血液制品行业深度报告[R], 2023.
[5]	伍琳, 陈永法. 我国创新药物研发能力的国际比较及成因分析[J]. 中国卫生政策研究, 2017, 10(8):23-28.
[6]	陈娟, 王婷婷, 欧阳昭连. 全球人工智能辅助药物研发基础研究态势分析[J]. 中国新药杂志, 2022, 31(13):1288-1293.
[7]	周倩. 我国医药制造企业数字化转型发展探析[J]. 中国信息化, 2021(10):82-84.
[8]	张大璐, 李萍萍, 潘子奇. 生物医药大数据: 发展现状与政策建议[J]. 中国生物工程杂志, 2019, 39(12):110-115.
[9]	刘晓凡, 孙翔宇, 朱迅. 人工智能在新药研发中的应用现状与挑战[J]. 药学进展, 2021, 45(7):494-501.

[1]	GUO Liang. Challenge analysis of computing power development in China and suggestions [J]. Information and Communications Technology and Policy, 2024, 50(2): 2-6.
[2]	SONG Jin, ZHANG Hexiang. Research on the application of cloud-edge-device integrated computing network architecture in smart parks [J]. Information and Communications Technology and Policy, 2024, 50(2): 55-62.
[3]	MA Chao. Digital transformation and development of standards in China from the perspective of transformation of standard data forms [J]. Information and Communications Technology and Policy, 2024, 50(2): 74-81.
[4]	XIN Jianfeng, ZHANG Xiaomei, BI Qiang, YANG Li, CHEN Shujuan. Exploration of personal information transfer and security compliance [J]. Information and Communications Technology and Policy, 2024, 50(1): 7-12.
[5]	GUO Zhen, YAO Shuwei, HU Yiqi, SHEN Qi. Thinking on path of digital transformation in the smart city consulting field [J]. Information and Communications Technology and Policy, 2023, 49(8): 73-79.
[6]	ZHANG Jingtao, YAN Jiahao, CHEN Cai, HUO Xiaojun, ZHANG Yuxiong, CUI Ying. Maturity model and assessment method of digital twin cities [J]. Information and Communications Technology and Policy, 2023, 49(8): 8-17.
[7]	ZHANG Junrui, LU Ying. Exploring realization path of government data innovation from perspective of digital transformation [J]. Information and Communications Technology and Policy, 2023, 49(8): 85-89.
[8]	WAN Xiaoyue, LI Guopeng, QIU Chunjing, WANG Yuhuan, CHANG Wen. Frequent internet protocol address switching technology in telecommunication network fraud [J]. Information and Communications Technology and Policy, 2023, 49(2): 87-91.
[9]	SUN Di, YANG Jinzhou, XIA Fan. Analysis of AI + Industrial Internet model application [J]. Information and Communications Technology and Policy, 2023, 49(11): 2-7.
[10]	SI Zhiliang. Analysis on the development path of digital economy empowered by digital government construction [J]. Information and Communications Technology and Policy, 2023, 49(1): 17-21.
[11]	LIU Ying, HAN Chunqing, WANG Lixiang. Artificial Intelligence and digital transformation of small and medium banks in China [J]. Information and Communications Technology and Policy, 2023, 49(1): 22-27.
[12]	CHEN Changhe, LUO Wei, YUAN Xiaole. The current situations, shortages and promotion suggestions of enterprises digital transformation in Jiangxi in the digital economy era [J]. Information and Communications Technology and Policy, 2023, 49(1): 28-33.
[13]	ZHOU Qian, WANG Qiuye. Analysis on the development mode of internet medical service in China [J]. Information and Communications Technology and Policy, 2022, 48(8): 70-74.
[14]	ZHANG Xi, AN Zhen. Consideration and suggestions on the development of digital inclusive finance for small and medium-sized banks [J]. Information and Communications Technology and Policy, 2022, 48(3): 82-85.
[15]	HU Lili, PAN Ming, HAO Chunxia, WANG Kaichen. Thinking on the pathing of digital transformation of urban governance based on digital twin [J]. Information and Communications Technology and Policy, 2022, 48(12): 45-51.