DATA INTEGRITY BY DESIGN, PHARMA 4.0 AND OVERCOMING DI ISSUES IN THE CLOUD
🎤 Carolyn Troiano | 📅 November 10, 2022 | 🕒 11 AM Eastern Time US
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Description
Data Integrity by Design is the concept that data integrity must be incorporated from the initial planning of a business process through to the implementation, operation, and retirement of computerized systems supporting that business process. It promotes the application of critical thinking to identify how data flows through the business process and to proactively assess and mitigate risks across both the system and data lifecycles. It emphasizes data integrity as foundational to protecting patient safety and product quality.
Powerful data management is critical in a system that is reliant upon advanced process control and automation, as well as artificial intelligence (AI) and machine learning. A complete, integrated laboratory software system provides streamlined processes and drives data integrity to advance organizations toward a Pharma 4.0 strategy.
This webinar will show how exactly is Data Integrity by Design important for achieving Pharma 4.0 and how its implementation can overcome issues of cloud computing.
Who Should Attend :
- Information Technology Analysts
- Information Technology Developers and Testers
- Software Quality Assurance Professionals
- QC/QA Managers and Analysts
- Analytical Chemists
- Compliance and Audit Managers
- Laboratory Managers
- Automation Analysts
- Manufacturing Specialists and Managers
- Supply Chain Specialists and Managers
- Regulatory Affairs Specialists
- Regulatory Submissions Specialists
- Risk Management Professionals
- Clinical Data Analysts
- Clinical Data Managers
- Clinical Trial Sponsors
- Computer System Validation Specialists
- GMP Training Specialists
- Business Stakeholders/Subject Matter Experts
- Business System/Application Testers
- Vendors responsible for software development, testing and maintenance
- Vendors and consultants working in the life sciences industry who are involved in computer system implementation, validation and compliance
