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Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development

Authors :
Yoshimasa Masuda
Alfred Zimmermann
Murlikrishna Viswanathan
Matt Bass
Osamu Nakamura
Shuichiro Yamamoto
Source :
Information, Vol 12, Iss 2, p 67 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

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.

Details

Language :
English
ISSN :
20782489
Volume :
12
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Information
Publication Type :
Academic Journal
Accession number :
edsdoj.47d725ce1d441908441046d8368dafd
Document Type :
article
Full Text :
https://doi.org/10.3390/info12020067