quality control


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Data integrity challenges in the quality control (QC) labs

Data integrity is fundamental to comply with current good manufacturing practices (CGMP) and ensure patient safety. Unsurprisingly, quality control (QC) lab data are heavily scrutinized during audits as they directly support the quality, safety and efficacy of the product, and indicate the state of control of a facility. Most QC labs have worked hard to establish the fundamentals of data integrity. Many have digitized to eliminate paper, some systems have compliance features built in, and a series of mitigations and workarounds cover the rest, albeit with some inefficiencies and limitations. There have also been significant evolution of systems and business practices, rising expectations for efficient and thorough investigation capability, and the desire to go beyond compliance and get knowledge and insights through better access to data. Next steps in data integrity are key to the QC lab of the future and the digital maturity of the manufacturing capability as a whole.

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The benefits of progressively more sophisticated lab instrument integration in the quality control labs

QC labs play a key role across biopharmaceutical organizations to ensure product quality and patient safety. However, they have yet to achieve full digital maturity. Poor digitalization and integration have led to many non-optimal solutions for labs, such as workarounds and tailored solutions that are too expensive to upgrade. Often teams cannot take advantage of the latest innovations. With the help of this document, advocates for change can persuade other stakeholders to raise their game by showing the opportunity for significant benefits. The origins of this analysis in cross-industry collaboration and alignment represent a weight of common intent that should not be ignored.

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