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Common pharma compliance concerns cited by FDA warning letters

European Pharmaceutical Review

Of the cGMP letters, three major types of violations – deficiencies in process validation, documentation practices (data integrity) and quality control – accounted for 26 percent, 21 percent and 15 percent of warning letters respectively. Overall, validation, documentation and quality control were the major cGMP violations.

FDA 105
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Revised Annex 1 now effective

European Pharmaceutical Review

The European Commission (EC)’s revised Annex 1 – Manufacture of Sterile Medicinal Products is now effective in the EU. As of 25 August 2023, pharmaceutical manufacturers are required to implement the GMP regulation into cleaning and bio-decontamination procedures for these products. What is included in the new revision?

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QMS market to value nearly $4b by 2030

European Pharmaceutical Review

Most of the quality management systems providers are focusing on capturing these large pharmaceutical markets. Also noted in the report was the shift towards cloud-based systems.

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How can the pharma industry navigate issues in the global supply chain to minimise drug shortages?

pharmaphorum

The pandemic effectively shut down supply chain paths overnight, and as a result, pharmaceutical manufacturers have faced delays and bottlenecks, which have caused drug shortages in healthcare systems. Companies could benefit from talking to third party experts such as NSF to ensure that they are in compliance.

Pharma 97
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New IFPMA and EFPIA guidance on use of social media by the pharmaceutical industry

pharmaphorum

To help limit company responsibility for employee actions, companies should provide training to employees, relevant to their role, regarding appropriate conduct on social media. The rationale for engaging with certain influencers and digital opinion leaders should be considered and documented.

Media 86
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Integrating AI in Pharma Manufacturing: Balancing Technology and Human Expertise

PM360

It’s a powerful technology that, if used correctly, can help us all reach new heights in pharmaceutical manufacturing and beyond. It’s easy to get excited about using AI to solve problems, but doing so without proper training has the potential to cause more of its own. It’s a fascinating exercise to ask AI to define these areas.