Changes and Additions in the New Eudralex vol. 4, Chapter 4: Documentation

In this Pharma IT insight, Torben Elhauge, Director of CMC, examines the key changes introduced in the revised EudraLex Volume 4, Chapter 4 on GMP documentation. Drawing on more than 25 years of pharmaceutical experience, he outlines how the updated chapter expands expectations around data governance, risk management, data integrity, hybrid and electronic systems, and AI-generated data. From the introduction of ALCOA++ principles to stronger links with Annex 11, Annex 22, and Chapter 6, Torben shares practical considerations to help organizations assess their documentation processes and strengthen compliance with the updated requirements.

Driving Consistency in Validation Across Complex CAPEX Projects

Complex CAPEX Projects

In this exclusive Pharma IT feature, Rojan Demirtas, Director of Manufacturing, explores the evolving landscape of Commissioning, Qualification, and Validation (CQV) in complex CAPEX projects. From risk-based validation strategies and stakeholder alignment to the impact of cloud technologies and AI on GMP environments, he shares practical insights on achieving consistency, improving quality outcomes, and building strong project foundations that support long-term success.

The more we know, the better: The Benefits of EMA Policy 70

EMA Policy 70 has expanded significantly, requiring broad publication of clinical data to increase transparency and public trust. This article explains what the revised policy means, the challenges companies face when preparing redactions, and how organizations can turn compliance into a strategic advantage.

GxP-Compliant DevOps: Accelerating Digital Transformation in Pharma

DevOps offers faster delivery and collaboration, but in regulated GxP environments it must be adapted for traceability and control. This Insight explores how pharmaceutical companies can integrate QMS and DevOps to achieve true continuous delivery.

AI in Life Sciences: When Expectations Meet Reality

Artificial intelligence is reshaping life sciences, but expectations often exceed reality. Success requires strong data foundations, governance, and compliance. Learn how companies can move from AI hype to practical value, turning innovation into measurable results while reducing risk and ensuring regulatory alignment.

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