Quality assurance is critical in high-throughput laboratories to ensure accurate results and regulatory compliance, but traditional manual review processes create significant bottlenecks. QA teams must spend extensive time examining large volumes of data, often leading to delays in reporting and reduced efficiency. As laboratory workloads increase, maintaining rigorous quality standards without slowing operations has become increasingly difficult. Review by Exception offers an effective solution by focusing QA efforts only on outliers or flagged results rather than reviewing all data. When integrated with LIMS, this approach streamlines QA workflows, reduces review time, and preserves data quality while enabling labs to operate faster and more efficiently.

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