Data Integrity Auditor Master Class

Data integrity has received more attention than ever before in the last decade and has become the most critical audit topic for health authorities. Although data integrity has started to gain importance in recent years, its history dates back approximately 30 years. Data integrity breaches at Barr Laboratories and later Able reveal this issue is older than it seems. As the health authorities began to question data integrity in audits more and more, pharmaceutical manufacturers started to increase their focus on data integrity, especially in GMP audits, and they started to seek ways to train their internal audit teams with this in mind.  This approach acts to detect the deficiencies and deviations that will be found in internal audits prior to the health authority audits.

Although there are numerous data integrity training courses available, the training rarely discusses the audits in detail, which leaves companies trying to solve their problems with a little guesswork based on their own knowledge and experience.

In the context of what is outlined above the need for trained personnel is increasing constantly.

In this course, the concept of data integrity will be discussed from the perspective of GxP audits, and practical advice for successful data integrity audits will be provided. Important guidance about data integrity concepts and guidelines will be covered, and the skills required by personnel performing the audits will be discussed. The programme will also advise in which departments data integrity audits should be carried out. Data integrity audits of the; warehouse, production, quality control, quality assurance, critical utilities, and engineering departments in pharmaceutical production facilities will be covered, with sample applications and question lists, and the most critical audit findings encountered in health authority audits will be examined. During this two-day training programme, the participants will analyse case studies and scenarios, which will aid the learning process.