1 — CSV 103: What Do Data Integrity and the Organizational “Immune System” Have in Common? (Two-day, Virtual only)
Wednesday and Thursday, 14 and 15 September 2022, 10:00 AM-1:30 PM EDT each day
Registration Rates
- By 29 August 2022: Member $360, Non-member $460, University Members $265, Student/Outreach Members $180
- After 29 August 2022: Member $385 , Non-member $495, University Members $285, Student/Outreach Members $180
Register Online
RQAP re-registration units: 6.00 GCP, GLP*
*Note: Participants must attend 100% of the training course to receive a certificate of attendance documenting RQAP re-registration units.
Presenters
Galit Lisaey, Gal.IT Data Integrity Consulting
Description
The importance of maintaining the quality and reliability of the data (data integrity) submitted to the authorities, especially in the field of pharmaceuticals, has become a binding requirement. The past thirty years have witnessed a global transition to computerized, automated systems and software. To ensure that critical electronic data presented to the authorities as a basis for decision-making are accurate and reliable, some methodical official guideline documents have been written by the health authorities. A guideline document on behalf of the US Health Authority called FDA 21 CFR Part 11 was published in the early 1990s, and it was followed by other documents such as EU Annex 11 for the European authorities, as well as similar documents for the Canadian, Australian, and International Health Authorities, among others. Between the years 2013 and 2021, the guidelines have been updated and started to focus more on data integrity than ever before.
Data integrity (DI) training has become a mandatory requirement for any organization committed to this subject. This course is intended to suggest ways to implement DI principles fundamentally within an organization.
Objectives
At the end of this course, the participant shall be able to:
- Manage and implement DI requirements such as change controls and computer system validation projects
- Explain the rationale behind the required regulations
- Initiate and perform internal audits related to DI
- Manage external audits related to DI with vendors
- Maintain and oversee the overall data integrity process
Target Audience
GLP/GMP and or GxP QA auditors; GxP Business and Systems Owners; Technical Systems Owners (IT or Business); Quality Control professionals; Compliance team members and managers; and Data Scientists with 2 or more years of experience
Agenda
Day One: A historical overview of the development of the requirements dealing with maintaining the quality and reliability of data. It includes a comparison of the various regulations, as well as recommendations for the successful implementation of a shared organizational culture.
1. Data Integrity vs. the immune system - Quality Culture for Data Integrity
2. Regulatory Update - Diving into Data Integrity basic aspects
3. Implement Risk Management and residual risks methodology as the fundamental aspect
Day Two: Project management methodology overview, using case studies to analyze the challenges dealt with by managers. Working with recommended work plan templates to create a harmonious and effective workflow. Building a tailored and stable work plan including overall maintenance control tools. The goal is to become familiar with project management.
4. Managing CSV as a project
5. Practice templates
6. Validation as continuous improvement – effective tools for managing the day after validation, including investigation as a constructing activity.