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  • 标题:Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development
  • 本地全文:下载
  • 作者:Yoshimasa Masuda ; Alfred Zimmermann ; Murlikrishna Viswanathan
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2021
  • 卷号:12
  • 期号:2
  • 页码:67
  • DOI:10.3390/info12020067
  • 出版社:MDPI Publishing
  • 摘要:Enterprise architecture (EA) is useful for effectively structuring digital platforms with digital transformation in information societies. Moreover, digital platforms in the healthcare industry accelerate and increase the efficiency of drug discovery and development processes. However, there is the lack of knowledge concerning relationships between EA and digital platforms, in spite of the needs of it. In this paper, we investigated and analyzed the process of drug design and development within the healthcare industry, together with related work in using an enterprise architecture framework for the digital era named the Adaptive Integrated Digital Architecture Framework (AIDAF), specifically supporting the design of digital platforms there. Based on this analysis, we evaluate a method and propose a new reference architecture for promoting digital platforms in the healthcare industry, with future specific aspects of them making effective use of Artificial Intelligence (AI). The practical and theoretical contributions include: (1) Streamlined processes through digital platforms in organizations. (2) Informal knowledge supply and sharing among organizational members through digital platforms. (3) Efficiency and effectiveness in planning production and business for drug development. The findings indicate that EA with digital platforms using the AIDAF contribute to digital transformation with effectiveness for new drugs in the healthcare industry.
  • 关键词:digital transformation; enterprise architecture; digital platform; digital healthcare; knowledge management; cloud computing; artificial intelligence digital transformation ; enterprise architecture ; digital platform ; digital healthcare ; knowledge management ; cloud computing ; artificial intelligence
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