This paper concerns the need for improvement in the use of risk-based principles and tools when working to ensure that the manufacturing processes used to produce medicines, and their related equipment, are appropriate. Manufacturing processes need to be validated (or proven) to demonstrate that they can produce a medicine of the required quality. The items of equipment used in such processes need to be qualified, in order to prove that they are fit for their intended use. Quality risk management (QRM) tools can be used to support such qualification and validation activities, but their use should be science-based and subject to as little subjectivity and uncertainty as possible. When changes are proposed to manufacturing processes, equipment, or related activities, they also need careful evaluation to ensure that any risks present are managed effectively. This paper presents a practical approach to how QRM may be improved so that it better supports qualification, validation programs, and change control proposals in a more scientific way. This improved approach is based on the treatment of what are called good manufacturing process (GMP) controls during those QRM exercises. A GMP control can be considered to be any control that is put in place to assure product quality and regulatory compliance. This improved approach is also based on how the detectability of risks is assessed. This is important because when producing medicines, it is not always good practice to place a high reliance upon detection-type controls in the absence of an adequate level of assurance in the manufacturing process that leads to the finished medicine.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.