All too often, the words "computer validation" strike terror into the hearts of those new to the process and may even cause those familiar with it to tremble. Validating Pharmaceutical Systems: Good Computer Practice in Life Science Manufacturing delineates GCP, GLP, and GMP regulatory requirements and provides guidance from seasoned practitioners on how to fulfill them. John Andrews and his team tackle the perceived complexities surrounding the validation of a wide variety of automated systems.
Sprinkled with case studies and real-life examples, the book offers a step-by-step review of topics such as planning, design, auditing, risk management, and specification. The in-depth, by example coverage demystifies the challenges of manufacturing execution systems(MES), laboratory information management systems(LIMS), and network qualification.
The first section examines the different levels of automated systems used throughout the drug development, manufacture, and delivery lifecycle, using the GAMP 4 lifecycle approach to their validation. The second section uncovers some real-life applications of GAMP 4 to different areas of the regulations such as GLP, GCP, GMP, and GDP.
The book explores some of the latest thinking on computer validation and reflects changes that have occurred in the industry since the early days of validation. The contributors are a deliberate blend of those who have faced the problems of the 1990s and the Y2K controversies and those who have more recently arrived on the scene and made an impact on the perception of validation of automated systems across the field of GxP. They do more than show you how to do the right thing; they show you how to do the right thing in compliance with regulations.
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John Andrews
This highly readable text offers a pragmatic approach to the validation of automated/computerized systems, an essential core task when establishing and maintaining compliance with global regulatory authorities, such as the FDA and the MHRA. It examines the different levels of automated systems used throughout the drug development, manufacture, and delivery life cycle, using the GAMP-4 life cycle approach to their validation. Rich with case studies and real-life examples, it also supplies the reader with true applications of GAMP 4 to different areas of regulations, such as good laboratory practice, good clinical practice, good manufacturing practice, and good data practice.
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