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Related Concept Videos

Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
Drug Regulation01:25

Drug Regulation

Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
Methods for Controlling Microbial Growth01:29

Methods for Controlling Microbial Growth

Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...

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Quality Risk Management: Putting GMP Controls First.

Kevin O'Donnell1, Anne Greene, Michael Zwitkovits

  • 1Irish Medicines Board|Bord Leigheasra na hEireann, Kevin O'Malley House, Earlsfort Centre, Earlsfort Terrace, Dublin 2, Ireland.

PDA Journal of Pharmaceutical Science and Technology
|May 29, 2012
PubMed
Summary
This summary is machine-generated.

This study enhances quality risk management (QRM) for pharmaceutical manufacturing by integrating good manufacturing practice (GMP) controls. It improves the scientific basis for validation, qualification, and change control processes.

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Area of Science:

  • Pharmaceutical Manufacturing
  • Quality Risk Management
  • Regulatory Compliance

Background:

  • Manufacturing processes require validation, and equipment needs qualification to ensure medicine quality and safety.
  • Current quality risk management (QRM) approaches may lack scientific rigor, leading to subjectivity in risk assessments.
  • Effective management of risks is crucial for proposed changes in manufacturing processes and equipment.

Purpose of the Study:

  • To present a practical, science-based approach for improving quality risk management (QRM) in pharmaceutical manufacturing.
  • To enhance the integration of QRM with qualification, validation, and change control processes.
  • To address the scientific evaluation and classification of good manufacturing practice (GMP) controls within QRM.

Main Methods:

  • Evaluating and classifying good manufacturing practice (GMP) controls based on their impact on risk assessment parameters (severity, occurrence, detection).
  • Developing a QRM process that directly links risk assessment outputs to qualification and validation protocols.
  • Focusing on the detectability of risks, emphasizing assurance in manufacturing processes over sole reliance on detection controls.

Main Results:

  • A refined QRM methodology that scientifically supports qualification, validation, and change control.
  • Improved classification of GMP controls within risk assessments, reducing subjectivity.
  • Enhanced assurance in manufacturing processes by critically evaluating reliance on detection controls.

Conclusions:

  • The proposed QRM approach offers a more scientific and practical framework for pharmaceutical manufacturing.
  • Integrating GMP controls into QRM strengthens validation, qualification, and change management.
  • This methodology reduces uncertainty and enhances the reliability of medicine production.