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Defining a Digitalization Reference Architecture for the Pharma Industry

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

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Defining a Digitalization Reference Architecture for the Pharma Industry

  1. 1. Defining a Digitalization Reference Architecture for the Pharma Industry Berlin, 25th of April 2017 Eldar Sultanow, Carsten Brockmann, Levent Sözer
  2. 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. 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. 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. 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. 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. 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. 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. 9. Digitalization Steps Copyright © Capgemini 2015. All Rights Reserved 9RA Pharma TAG, SENSE & CONNECT INGEST ANALYSE & PREPARE UTILIZE
  10. 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. 11. Fundamental Structure of the Digitalization RA Copyright © Capgemini 2015. All Rights Reserved 11RA Pharma BusinessDataApplicationTechnology Tag, Sense & Connect Ingest Analyse & Prepare Utilize
  12. 12. Fundamental Structure of the Digitalization RA Copyright © Capgemini 2015. All Rights Reserved 12RA Pharma Public Health Pharma Logistics & Transportation Tag, Sense & Connect Ingest Analyse & Prepare Utilize
  13. 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. 14. Building Blocks: IOT Copyright © Capgemini 2015. All Rights Reserved 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. 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. 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. 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. 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. 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. 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. 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

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