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
概括
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.
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.
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