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相关概念视频

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

1.2K
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...
1.2K
Drug Control Governance: Regulatory Bodies and Their Impact01:03

Drug Control Governance: Regulatory Bodies and Their Impact

124
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...
124
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

199
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...
199
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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Updated: May 13, 2025

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
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关于药监数据质量管理的洞察性审查

Pallavi Bassi1, Narinderpal Kaur2, Shivani Rana3

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

Current drug safety
|April 15, 2025
PubMed
概括
此摘要是机器生成的。

高质量的数据管理对于有效的药物监督和确保药物安全至关重要. 自动化和数字工具增强了药物不良事件的收集,处理和报告,改善了全球安全监测.

关键词:
数据质量管理数据质量管理世界卫生组织DDD编码.定期更新安全情况.药物监督和药物监督质量循环的质量周期参考安全信息参考安全信息

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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
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科学领域:

  • 药监和药物安全 药监和药物安全
  • 医疗保健中的数据管理

背景情况:

  • 药监系统对于通过收集和评估药物不良事件来监测药品安全至关重要.
  • 有效的数据处理和处理对于准确的风险因素评估和保持产品安全标准至关重要.

研究的目的:

  • 审查药监数据质量管理的关键方面.
  • 突出数据处理,管理,监管准则,报告时间表和定期安全更新报告 (PSUR) 过程的重要性.
  • 检查自动化和世卫组织药物词典 (WHO-DD) 在加强药监系统中的作用.

主要方法:

  • 对药监数据质量管理原则的审查.
  • 分析监管指南和报告时间表.
  • 检查自动化和数字工具对药监过程的影响.

主要成果:

  • 高质量的数据管理,包括数据输入,处理和存储,对于确保药物安全至关重要.
  • 及时向监管机构报告不良事件数据至关重要.
  • 自动化和诸如世卫组织药物词典之类的工具提高了数据准确性和报告效率.

结论:

  • 强有力的数据质量管理对于药物监测的成功至关重要.
  • 利用数字工具,现实世界的数据和自动化可以显著提高药监系统的效率和有效性.
  • 未来的技术进步有可能进一步简化药物安全监测中的数据收集和分析.