Platform Strategy and Data-driven development in Pharmaceutical Industry
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The document discusses platform strategy and data-driven development in the pharmaceutical industry. It outlines the drug development process from target identification through discovery to approved product. It also discusses moving from enterprise architecture to platform strategy execution and global platform strategy as a foundation. Several use cases for data analytics are presented, including using natural language processing and machine learning to simplify compliance, optimize clinical trials, stay on top of research trends, and accelerate time to market.
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Platform Strategy and Data-driven development in Pharmaceutical Industry
- 1. Platform Strategy and Data-driven development in Pharmaceutical Industry Lukas Ott - Domain Architect R&D ITU - Guest Lecture - 8 april 2022
- 2. Agenda 1. Pharmaceutical Research & Development 101 2. From Enterprise Architecture to platform strategy execution 3. Discussion on use cases development for data analytics
- 3. Pharmaceutical Development in a Nutshell Pharmaceuticals Small Molecule (Chemical) Large Molecule (Biologics)
- 4. The core of R&D in Drug Development Target Identification Drug Discovery
- 5. From discovery to approved product
- 6. From Enterprise Architecture to Technical Architecture Source: https://www.leanix.net/en/wiki/ea/enterprise-architect-vs-solution-architect-vs-technical-architect-whats-the-difference#form
- 7. IT portfolio is a balance between operative and strategic development
- 9. Architecture review is a key milestone of the analysis phase of projects
- 10. Key architectural principles 1. Business 2. Application 3. Information 4. Technology 5. Security & Compliance / Data Privacy
- 11. Core functionalities of a system in an enterprise Data Documents Workflow Business Process Application / Platform
- 12. Global Platform Strategy as Foundation Adopt before Adapt “A platform strategy is the mobilization of a networked business platform to expand into and operate in a given domain. A business platform, in turn, is a nexus of rules and infrastructure that facilitate interactions among network users.” In R&D Domain that means that the goal is to build foundational platform that are supporting the business processes end-to-end.
- 13. R&D Domain - Background ● Use the right datasets - data quality is key! ● Regulatory Authorities ● Content Accumulation ● Leverage Available Content ● Know who does what
- 14. Use cases in Pharma Simplify Compliance ● Detect relevant information in regulatory texts ● Push information to the right expert Optimize Clinical Trials ● Make evidence-based decisions based on all clinical trial data available Stay on Top of Research Trends ● Provides access to the latest scientific information Accelerate Time to Market ● Speeds up new drug application submission ● Reduces costs for new drug development Connect to External Experts ● Connect to relevant experts within external research organizations ● Identify the most promising collaboration partners Connect Experts & Expertise Internally ● Reveals networks of experts
- 15. Natural Language Processing (NLP) / Machine Learning (ML) Use Cases 1. Business case a. Create data stories b. Main concepts 2. Build data pipelines a. Prerequisites b. Indexing data c. Create service & label data
- 16. Questions & Open Discussion
- 19. From discovery to approved product
Editor's Notes
- Business Redesign lean processes by leveraging existing ones and following industry standards Invest in differentiating capabilities Application Prefer reuse over buy over build. Standard solution, minimal configuration, no customisation Ensure good end-user experience (performance, availability, usability) Information Data is uniquely identified and traceable through the processes, applications and life cycle Ensure data integrity, availability and accessibility (anywhere, anytime) Technology Design for interoperability, reusability and scalability Cloud first Security & Compliance / Security & Privacy Security by design Always compliant -> Privacy by design Data minimization
- Use the right datasets Clinical trials generating huge amount of contents Regulatory Authorities Following publications Making sure submission fulfill requirements ContenUse the right datasets Clinical trials generating huge amount of contents Regulatory Authorities Following publications Making sure submission fulfill requirements Content Accumulation Drug research Lab projects Approval processes Pharmacovigilance Leverage Available Content Deliver search & knowledge application to frontline sales teams Know who does what Select the ideal team of experts Undetected overlapping or identical projects