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

1. Defining a Digitalization Reference
Architecture for the Pharma Industry
Berlin, 25th of April 2017
Eldar Sultanow, Carsten Brockmann, Levent Sözer

2. Copyright © Capgemini 2015. All Rights Reserved
2RA Pharma
Agenda
 Vision and Team
 Digital Transformation Technologies
 Digitalization Steps
 The Meta model
 Pharma - Reference Architecture
 Next Steps

3. Copyright © Capgemini 2015. All Rights Reserved
3RA Pharma
Agenda
 Vision and Team
 Methodology and roadmap
 The Meta model
 Domain overview
 Exemplary domain: Ground Ops
 Next Steps

4. Our vision – We would like to create the reference
architecture to:
Copyright © Capgemini 2015. All Rights Reserved
4RA Pharma
Allow new (IT) suppliers
to quickly get
knowledgeable on our
industry specifics
Create transparency in
terms of which
technology is used for
what purpose
Provide templates for a
technology solution,
capturing both business-
facing and technology-
facing perspectives in
terms of pharma

5. Digital Transformation Technologies
Copyright © Capgemini 2015. All Rights Reserved
5RA Pharma
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
 Enabling the digitization of our society and economy
 Objects and people are assigned unique identifiers, sensors, and actuators
 interconnected through wireless ad-hoc networks such Bluetooth, Zigbee or Z-
Wafe, and report about their status and the surrounding environment
 26 billion IoT devices will be deployed by 2020

6. Digital Transformation Technologies
Copyright © Capgemini 2015. All Rights Reserved
6RA Pharma
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
 Technologies that increase the user’s perception and interaction with the real
world by placing virtual objects
 Combines real and virtual objects in a real environment
 Runs interactively, and in real time
 Virtual objects’ features and behavior is derived from data that has been
gathered due to digitalization

7. Digital Transformation Technologies
Copyright © Capgemini 2015. All Rights Reserved
7RA Pharma
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
 IT systems using artificial intelligence, natural language processing, and machine
learning technologies
 Provide data analysis and decision-making through automated, dynamic learning based
on accumulated experience
 Derives intelligence and knowledge from huge volumes of structured and unstructured
data and enables real-time decisions
 Efficient, effective and flexible solution for dealing with ubiquitous data generated by
digitalization

8. Digital Transformation Technologies
Copyright © Capgemini 2015. All Rights Reserved
8RA Pharma
INTERNET
OF THINGS
AUGMENTED
REALITY
COGNITIVE
COMPUTING
ACROSS DIFFERENT
INTERDEPENDENT INDUSTRIES
• Applications developed and running
in different industries may interact or
be integrated with each other
• Data may be exchanged through
these inter-industry connections
• Business-level synergies across
organizations in different industries
• Focusing: Pharma & Logistics &
Public

9. Digitalization Steps
Copyright © Capgemini 2015. All Rights Reserved
9RA Pharma
TAG, SENSE &
CONNECT
INGEST ANALYSE &
PREPARE
UTILIZE

10. Content of an Open Group Reference Architecture
Copyright © Capgemini 2015. All Rights Reserved
1020160624 Architecture Community Call.pptx
Business Architecture
Application Architecture
Data Architecture
Technology Architecture

11. Fundamental Structure of the Digitalization RA
Copyright © Capgemini 2015. All Rights Reserved
11RA Pharma
BusinessDataApplicationTechnology
Tag, Sense &
Connect Ingest
Analyse &
Prepare Utilize

12. Fundamental Structure of the Digitalization RA
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12RA Pharma
Public Health
Pharma
Logistics & Transportation
Tag, Sense &
Connect Ingest
Analyse &
Prepare Utilize

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

14. Building Blocks: IOT
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RA Pharma 14
BusinessDataApplicationTechnology
Tag, Sense &
Wire Ingest
Analyse &
Prepare Utilize
IoT
Wireless NetworkCellular Ad-hoc
AutoID Cloud Serialized Drugs Clinical Trials Cool ChainSensors
Tracking PlatformCooltrax Bosch Packaging
XQS TempSense
Cool Chain
Monitoring
Data Services Realtime/Historical API AlertsAnalytics
Temperature & Humidity Data
Locational Data
Cool Chain Monitoring
Therapy Management
Pharmaceutical Order Automation
Track & Trace
Mettler Toledo

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

16. Building Blocks: AR
Copyright © Capgemini 2015. All Rights Reserved
RA Pharma 16
Tag, Sense &
Wire Ingest
Analyse &
Prepare Utilize
Augmented RealityFingerIO
AR Devices SmartEyeglass Google Glass MS Hololens
Sensors
AR SDK Vuforia
Virtual Visualization (Virtual Simulation, Geolocation based AR)
Virtual Education
BusinessDataApplicationTechnology
Soli Sonar
Depth-Sensing
(Markerless)
Physical Cognition Object Detection 3D Scan OCR
Object Recognition
DroidARWikitudeARmedia
Platform Surgical Navigation Advanced Platform
APP Anatomy 4DAccuVein
D'FusionMetaio SDK
Object Recognition
Medical Treatment Assistance
Remote Disease Diagnostics/Treatments
AR Model Virtual ItemHologram Real Item
Black & White
Markers Digital Contact Lenses
AED4EU

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

18. Building Blocks: CC
Copyright © Capgemini 2015. All Rights Reserved
RA Pharma 18
Business
Data
Application
Technology
Tag, Sense &
Wire Ingest
Analyse &
Prepare Utilize
Cognitive Computing
Cognitive IoT
Interface
Automatic Disease Detection
Signal/NLPData Miner
Pattern RecognizerSignal Miner
Electronic
Health Records
Medical Records
CC App
Development
Preprocessing Analyzer
Algorithm Applier
CC Platform
Machine Learning
Watson Health Cloud DeepMind Health
OpenData
Medical
Research
Data Aggregators
Medical Treatment Assistance
Research Improvement & Acceleration
Health Trend Prediction & Illness Prevention

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

20. Building Blocks
Copyright © Capgemini 2015. All Rights Reserved
RA Pharma 20
Tag, Sense & Connect Ingest Analyse & Prepare Utilize
Pharma
Logistics&
TransportationPublic
Cool Chain Monitoring
Home Care
Therapy Management
Indoor Positioning (Patient Flow, Staff & People Finding, Wayfinding, Equipment Location )
Mobile Medical App
Smart Pills
Pharma Fleet
Management
Active Cooling
Passive Cooling
Medical Treatment Assistance
Virtual Simulated
Education
Research Improvement &
Acceleration
Automatic Disease
Detection
Remote Disease
Diagnostics/Treatments
Track & Trace
Smart Supply Chain
Online Therapy
Information Exchange
Voice Treatment
assistants
Hospital Staff &
Equipment Location
Indoor Process
Surveillance
Indoor Navigation
Health Trend Prediction
Virtual & Augmented Reality
Wearables (Fitness Tracker, EKG Plaster, Smartwatch)
Health Condition Monitoring
Illness Prevention

21. We have two main contacts for this project...
Copyright © Capgemini 2015. All Rights Reserved
2120160413 Kick-Off OpenGroup.pptx
Dr. Eldar Sultanow
Lead Consultant
Capgemini Nürnberg
Eldar.Sultanow@capgemini.com
Dr. Carsten Brockmann (Coordinator)
Lead Consultant
Capgemini Berlin
Carsten.brockmann@capgemini.com