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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

748
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
748
Drug Regulation01:25

Drug Regulation

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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...
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Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

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Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
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Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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Data Validation01:15

Data Validation

127
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
127
Quality Assurance01:19

Quality Assurance

104
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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Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
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Insight Review on Data Quality Management in Pharmacovigilance.

Pallavi Bassi1, Narinderpal Kaur2, Shivani Rana3

  • 1Chitkara College of Pharmacy, Chitkara University, Rajpura Punjab, 141001, India.

Current Drug Safety
|April 15, 2025
PubMed
Summary
This summary is machine-generated.

High-quality data management is essential for effective pharmacovigilance and ensuring drug safety. Automation and digital tools enhance the collection, processing, and reporting of adverse drug events, improving global safety monitoring.

Keywords:
Data quality managementWHO DD coding.periodic safety updatepharmacovigilancequality cyclereference safety information

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Area of Science:

  • Pharmacovigilance and Drug Safety
  • Data Management in Healthcare

Background:

  • Pharmacovigilance systems are crucial for monitoring medicinal product safety through the collection and assessment of adverse drug events.
  • Effective data handling and processing are vital for accurate risk factor evaluation and maintaining product safety standards.

Purpose of the Study:

  • To review key aspects of data quality management in pharmacovigilance.
  • To highlight the importance of data processing, management, regulatory guidelines, reporting timelines, and the Periodic Safety Update Report (PSUR) process.
  • To examine the role of automation and the WHO Drug Dictionary (WHO-DD) in enhancing pharmacovigilance systems.

Main Methods:

  • Review of pharmacovigilance data quality management principles.
  • Analysis of regulatory guidelines and reporting timelines.
  • Examination of the impact of automation and digital tools on pharmacovigilance processes.

Main Results:

  • High-quality data management, encompassing data entry, processing, and storage, is essential for ensuring drug safety.
  • Timely reporting of adverse event data to regulatory authorities is critical.
  • Automation and tools like the WHO Drug Dictionary improve data accuracy and reporting effectiveness.

Conclusions:

  • Robust data quality management is fundamental to the success of pharmacovigilance.
  • Leveraging digital tools, real-world data, and automation can significantly enhance the efficiency and effectiveness of pharmacovigilance systems.
  • Future technological advancements hold potential for further simplification of data gathering and analysis in drug safety monitoring.