Recent Issues and Regulatory Requirements of Data Integrity in Pharmaceutical Industry

Woung Choi, Min Kim, Dong Hee Na
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Abstract

Pharmaceutical manufacturers are responsible for providing safe and effective high-quality products to patients and consumers by assuring that decisions on production and distribution of products are based on accurate, reliable, truthful, and complete data. Nevertheless, in recent years, regulatory authorities have increasingly observed good manufacturing practice (GMP) violations related to data integrity during GMP inspections. This is problematic since ensuring data integrity is a mandatory requirement to assure the safety, efficacy, and quality of drug products. The breaches in data integrity found during inspections have set off the need to publish more detailed guidance documents that describe more clearly the regulatory expectations in GMP-related systems. With new awareness derived from recent regulatory restrictions, industry uses state-of-the-art technology to improve processes and establish systems for detection and mitigation of gaps that affect data integrity in paper and computerized systems. Recently issued guidances by regulatory agencies emphasize the importance of good laboratory and manufacturing documentation practices. The main purpose of regulatory requirements remains confident in the quality and integrity of the data generated to ensure patient safety and product quality. This review summarizes data integrity guidances and risk assessment that facilitate firms to develop robust data integrity management system with both manual processes with paper records and computerized systems.
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制药行业数据完整性的最新问题和监管要求
药品制造商有责任为患者和消费者提供安全有效的高质量产品,确保产品的生产和分销决策基于准确、可靠、真实和完整的数据。然而,近年来,监管机构越来越多地发现GMP检查过程中与数据完整性相关的良好生产规范(GMP)违规。这是有问题的,因为确保数据完整性是确保药品安全性、有效性和质量的强制性要求。在检查过程中发现的数据完整性漏洞,引发了发布更详细的指导文件的需求,这些文件更清楚地描述了gmp相关系统的监管期望。由于最近的监管限制产生了新的意识,业界使用最先进的技术来改进流程并建立系统,以检测和缓解影响纸质和计算机化系统中数据完整性的漏洞。监管机构最近发布的指南强调了良好实验室和生产文件规范的重要性。监管要求的主要目的是对所生成数据的质量和完整性保持信心,以确保患者安全和产品质量。本综述总结了数据完整性指南和风险评估,这些指南和风险评估有助于公司开发强大的数据完整性管理系统,包括纸质记录和计算机系统的手动流程。
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