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A Reference Architecture for Digitalization in the Pharmaceutical Industry

Authors: Alina M. Chircu; Eldar Sultanow; Levent D. Sözer;

A Reference Architecture for Digitalization in the Pharmaceutical Industry

Abstract

Digital transformation (also called digitalization or, to a lesser extent, digitization) can enhance the customer experience, streamline operations, revolutionize existing business models, and disrupt entire industries. In this paper, we explore the opportunities for digital transformation in the pharmaceutical industry and develop a pharma-specific reference architecture for digitalization. We build on a model initially developed internally at Capgemini and show how it can be used to describe the use of several emerging digital transformation technologies: Internet of Things (IoT), Cognitive Computing (CC) and Augmented Reality (AR). Our analysis presents the architectural implications of each of these technologies for the pharma industry from the perspectives of four standard TOGAF domains (covering the technology, application, data and business architecture) and of four digitalization steps (Sense, Tag and Connect, Ingest, Analyze and Prepare, and Utilize). We also present an integrated view of the business capabilities all three technologies offer to organizations.

Keywords

Augmented Reality, Pharmaceutical Industry, Reference Architecture, Cognitive Computing, Digitalization, TOGAF, Digital Transformation, Internet of Things (IoT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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