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Pharma Computer System Validation (CSV & Quality)
Bestseller
Highest Rated
Rating: 4.5 out of 5(1,058 ratings)
3,859 students

Pharma Computer System Validation (CSV & Quality)

CSV and Quality Management System
Bestseller
Highest Rated
Created byABHAY JADHAV
Last updated 11/2024
English

What you'll learn

  • Overview of the Course and Career opportunities
  • Overview of Pharma Product Life Cycle
  • What is GMP and Pharma Regulations?
  • Quality Management System (QMS) Framework

Course content

2 sections • 32 lectures • 6h 46m total length

  • 01.Overview of CSV and Job Opportunities9:16

    Explore CSV, which stands for computer system validation, and its role in pharma, uncovering career opportunities across the product life cycle, quality roles, data integrity, and regulatory considerations.

  • Disclaimer0:47

    Identify the purpose and scope of the disclaimer within pharma csv and quality frameworks, as outlined by the course on csv and quality.

  • 02.GxP Regulations7:13

    Understand GxP meaning and global health care regulations from FDA, ICH, EMA, and TGA to safeguard patient safety, product quality, and data integrity.

  • 03.Introduction to Good Manufacturing Practices (GMP)14:21

    Explore good manufacturing practices (GMP) in pharma, focusing on quality product, regulatory authority, and the five P's: people, premises, product, process, and procedures.

  • 04.Six System Inspection Model17:57

    Explore FDA's six system inspection model, integrating quality, production, facility, equipment, laboratory control, material, and packaging and labeling systems under cGMP with a risk-based approach to assess site control.

Requirements

  • Fundamentals of SDLC

Description

This course provides practical end to end understanding about GxP computer system validation based on real life example. Computer system validation (CSV) is a process used in the pharmaceutical, healthcare, and other regulated industries to ensure that computerized systems are designed, developed, and operated in a manner that meets predefined requirements and regulatory guidelines. The goal of CSV is to ensure the reliability, integrity, and security of computer systems used in critical processes such as manufacturing, laboratory testing, data analysis, and documentation.


Regulatory Compliance: CSV is driven by regulatory requirements imposed by organizations such as the U.S. Food and Drug Administration (FDA), European Medicines Agency (EMA), and other regulatory bodies. These regulations outline specific requirements for computerized systems in terms of data integrity, security, audit trails, electronic signatures, and other relevant aspects.


Validation Lifecycle: CSV follows a lifecycle approach, typically consisting of four main stages: (a) User Requirements Specification (URS), (b) Functional Requirements Specification (FRS), (c) Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ), and (d) Validation Summary Report (VSR). Each stage involves specific activities and documentation to ensure system compliance and performance.


Risk Assessment: Risk assessment is a crucial component of CSV. It involves identifying and evaluating potential risks associated with the computer system, such as data integrity issues, security vulnerabilities, software errors, hardware failures, and human errors. Risk assessment helps determine the level of validation effort required and guides the selection of appropriate validation activities.


Testing and Documentation: Validation activities include various testing procedures, such as unit testing, integration testing, system testing, and user acceptance testing (UAT). These tests aim to verify that the system functions as intended, meets user requirements, and operates reliably. Comprehensive documentation, including test plans, test scripts, validation protocols, and validation reports, is generated throughout the process to demonstrate compliance.


Change Control: Once a computer system is validated, any changes made to the system or its associated processes need to be carefully managed. Change control procedures ensure that modifications, such as system updates, configuration changes, or software upgrades, are thoroughly evaluated, tested, and documented to maintain the validated state of the system.


Audit Trail and Data Integrity: CSV emphasizes the importance of audit trails and data integrity. Audit trails are electronic records that capture and document activities performed within the system, providing a reliable chronological history of actions. Data integrity controls, such as secure access, data encryption, backup and recovery mechanisms, and prevention of data tampering, are implemented to ensure the accuracy, completeness, and consistency of data generated and stored by the system.



Who this course is for:

  • Pharma and IT professional

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