The rapid pace of technological advancement and an increasingly volatile business environment causes pharma industry players to face three main challenges. The first
challenge is to develop the critical ability to create and maintain a common view on the big picture of the organization’s architecture and environment. Linked to this is the challenge of making it decisible, which actions must be taken on strategical, business and technological level. The last challenge consists in identifying/considering the best
architectural approach and solution on a fine-grained level. This may include answer on question such as “Which approach we choose to implement a read replica in the cloud
(transactional replication using publish-subscribe between relational database systems, stream into a Redis Cache, …)?”
We develop a digitalization RA for pharma industry and incorporate three main areas, Internet of Things (IoT), Cognitive Computing (CC), and Augmented Reality (AR).
Digitalization is horizontally divisible into four sequentially arranged domains that can be understood as the stages of digitalization: Tag, Sense and Wire (1), Ingest (2), Analyze and Prepare (3), and Utilize (4). Technology components may be used across different industries. Applications developed and running in different industries may both interact or be integrated with each other and exchange data through these
industry-specific applications (cool chain monitoring while transportation, healthcare research data for public, origination & distribution information for authorities). For this reason, our frame possesses a third dimension: connected industries (in pharma these include transportation & logistics and the public sector). This approach generates a big picture that transparently illustrates the pharma RA for digitalization including its stages, architecture layers and connections between building blocks across organizational boundaries and different industries.
Author of paper and presentation: Eldar Sultanow, Carsten Brockmann, Levent Sözer, Capgemini Germany
13. Dedicated Technology View
Reference Architecture Page 13
PHARMA
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
Digitalization of the pharmaceutical products
Drug development, clinical trials, supply chains, and patient care
Treatment 2.0
Personalized Therapy and Health Monitoring
Industrial Internet
15. Dedicated Technology View
Reference Architecture Page 15
PHARMA
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
Remotely patient assistance
Enhancing a doctor’s expertise with additional AR capabilities
Receive advice during surgery
Active learning and practice
Simulate the use of medical devices
17. Dedicated Technology View
Reference Architecture Page 17
PHARMA
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
Self-learning systems extracting new knowledge from unstructured
medical data
Assist doctors in making better and faster decisions
Changing treatment methods, providing diagnosis, facilitating research
and automating processes
Automatic Disease Detection
19. Integrated Technology View
Reference Architecture Page 19
PHARMA
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
Integrated reference architecture
Synergies among these technologies
Integrated view of the business capabilities
Focusing: Pharma & Logistics & Public