Bringing an asset management system into a biotech environment isn’t just about picking the right tool—it’s about ensuring that tool is validated, compliant, and meets both regulatory and business needs. Whether you’re handling equipment calibrations, managing work orders, or ensuring traceable maintenance histories, Computer System Validation (CSV) is a critical step. Here’s what you need

Digitizing manufacturing with an MES is a big step, especially in regulated spaces like pharma and biotech. But alongside innovation comes responsibility—especially when it comes to compliance. Since MES sits at the heart of production, enforcing process controls and managing real-time data, it’s essential to validate the system to ensure it performs reliably, consistently, and

As biotech companies scale, user-friendly software systems—like EQMS, LIMS, or MES— can help standardize operations, ensure data integrity, and support regulatory compliance. But before signing a contract, it’s critical to better understand what the system can do and how it’s built, maintained, and supported behind the scenes. So, how do you dive into what really

In the biotech industry, regulatory compliance, data integrity, and operational efficiency are more than just priorities—they are critical to the success of any organization. As biotech companies move from paper-based quality management systems to Electronic Quality Management Systems (eQMS), it’s crucial that they select a system that is not only compliant but also scalable and

Implementing a Learning Management System (LMS) in the biotech industry requires careful consideration of Computer System Validation (CSV) principles. In the biotech sector, LMS platforms are often used to deliver and manage GxP training, ensuring employees are compliant with regulatory requirements such as FDA’s 21 CFR Part 11 and EU Annex 11. Here’s what to

Data integrity remains a critical focal point for regulatory agencies overseeing the pharmaceutical and biotechnology industries. Ensuring data integrity is not merely a compliance requirement; it’s fundamental to patient safety, product quality, and operational efficiency. This article explores the significance of data integrity in Good Practice (GxP) systems, common challenges organizations face, and best practices

In the evolving world of laboratories and data-driven decision-making, Laboratory Information Management Systems (LIMS) have become indispensable. These systems streamline sample tracking, data analysis, reporting, and compliance, ensuring smooth operations. However, implementing a LIMS isn’t just about choosing the right software—it’s about ensuring the system meets regulatory, operational, and quality standards through Computer System Validation

Computerized systems, within the pharma and biotech industry, must be reliable, secure, and fully compliant with industry regulations and that’s where Computerized System Validation (CSV) comes in! It ensures that these systems function as intended, maintain data integrity, and meet regulatory requirements. The Validation Plan (VP) and the Validation Summary Report (VSR) are two key

Computer System Validation (CSV) ensures that computerized systems comply with regulatory requirements, safeguarding patient safety, data integrity, and product quality. Two critical documents in the CSV lifecycle are the Design Specification (DS) and the Configuration Specification (CS). These documents are instrumental in establishing how systems are developed, implemented, and maintained to meet both user and