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Investigating Out of Specification Results

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The way a company responds to Out of Specification (OOS) results is a key part of GCLP, which first came to prominence in 1993, following the Barr case.

Dates: Monday 29 April 2025
Venue:
Glen Hove Conferencing, Johannesburg, South Africa
Cost:

R5230.00
SAAPI Members R4916.00

Type: Pharmaceutical
Book now PDF brochure

About this course

The way a company responds to Out of Specification (OOS) results is a key part of GCLP, which first came to prominence in 1993, following the Barr case. The US FDA first issued draft Guidance for Industry on handling OOS results in 1998.

In October 2006 the final version of the FDA OOS Guidance was published. In late 2010, the UK MHRA published the first Guidance on this subject by a European authority. This course will compare the US and UK guidance.

The adequacy of the investigations that should take place following the generation of an OOS result, and the release/reject decision that must subsequently be made, is seen as a key measure of the overall integrity and probity of a pharmaceutical company.

This course is designed to provide you with practical advice on how to investigate OOS results and make appropriate decisions, which will meet regulatory expectations and add real value to your business.

The recent quality system guidance, such as ICH Q10 and the FDA Process Validation, means that inspectors are now focusing much more on trend analysis.

Every company will inevitably generate OOS and Out of Trend (OOT) results at some time, so this is an area of GMP compliance that cannot be ignored.

What You Will Learn

  • The Barr Case history
  • What the October 2006 FDA OOS Guidance says and what it means
  • What the 2010 MHRA Guidance says and what it means
  • How to assess the quality of the data generated by your laboratory
  • The relationships between OOS, OOT and other atypical results
  • How to identify OOT stability results
  • How to conduct effective OOS and OOT investigations and interpret the results
  • What to consider when making batch release decisions

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