Environmental monitoring (EM) programs have long relied on action and alert limits as the primary drivers for response and investigation. While these regulatory thresholds remain essential (and required), they are not sufficient on their own to provide a complete picture of cleanroom control. This poster challenges the industry's traditional focus on excursions and proposes a more holistic, modern approach to EM data trending-one that aligns with the evolving expectations outlined in EU Annex 1.Key tools such as Contamination Recovery Rate (CRR), percentile-based evaluations, and a combination of methods offer richer insights into process capability, operator consistency, and potential contamination risks-even when results remain within accepted limits. These statistical approaches acknowledge the semi-quantitative nature of microbiological data and accommodate its non-normal distributions more effectively than conventional means and standard deviations.Attendees will gain a deeper understanding of how to integrate these techniques into existing EM programs, transforming environmental data from a compliance checkbox into a meaningful indicator of cleanroom health and performance.
Alexandra Bezilla (Thu,) studied this question.