- ANNEX 1
- Translated with AI
Liv Riedmaier
Trends at the push of a button? Why now is the right time to rethink
Moqlero - Automated Trending according to GMP Annex 1
Trending in GMP Annex 1 – From "Nice-to-have" to Regulatory Requirement
With the revision of EU GMP Annex 1 in 2022, the regulatory environment for the manufacturing of sterile medicines has fundamentally changed. A central element of this revision is the mandatory introduction of systematic trending of monitoring data.
What was once considered a supportive quality tool is now an integral part of compliance – and thus comes into focus for quality assurance, production, and inspections alike.
From Reacting to Proactive Thinking
Trending describes the systematic, temporal analysis of monitoring data to identify patterns, changes, and potential risks early on. Unlike isolated consideration of individual limit breaches, developments over longer periods become visible. The regulatory requirement is clear: companies should no longer just react to deviations, but proactively identify and prevent process deteriorations.
Annex 1 makes Trending Mandatory
In the revised Annex 1, especially in Chapter 9 ("Environmental and Process Monitoring"), trending is explicitly required and thus becomes a mandatory component of environmental monitoring and the Contamination Control Strategy (CCS).
A systematic evaluation of monitoring data is required to detect trends, insidious changes, and recurring patterns early and to incorporate them into the quality strategy.
This makes it clear: trending is no longer an optional reporting tool, but a central control instrument to ensure product quality and patient safety.
Requirements for Effective Trending
The Annex 1 sets clear expectations for implementation:
– Detection of trend patterns
Increasing limit breaches, recurring deviations, or consecutive warning messages must be systematically recognized and evaluated.
– Short- and long-term analysis
Both short-term events and long-term developments are to be analyzed.
– Correlation with root cause analysis
Trending must be correlated with influencing factors such as maintenance, personnel movements, or process changes and forms the basis for root cause analysis and CAPA processes.
– Visualization and data preparation
Only through appropriate representations such as diagrams, dashboards, and statistical evaluations do trends become understandable and assessable.
When Excel Reaches Its Limits
In practice, a clear tension emerges between regulatory demands and real-world application, as monitoring data are still often exported, consolidated in Excel, and manually evaluated – an approach that increasingly reaches its limits under today's requirements due to high time consumption, lack of standardization, increased susceptibility to errors, and limited traceability.
Automation as a Logical Consequence
Automated systems address exactly this point: they enable continuous processing of data – from collection to analysis to structured presentation of results. Trends can be analyzed regularly, patterns recognized early, and evaluations standardized. Results are automatically presented both graphically and in tables, making developments immediately traceable.
Trending at the push of a button is less about simplifying and more about a well-defined process. After setting the parameters, evaluations can be retrieved in Moqlero with minimal effort. For many in practice, this means a clear break from time-consuming, error-prone Excel processes: instead of spending hours on manual data preparation, reliable results are available in seconds – standardized, audit-proof, and accessible at any time.
A Look into Practice
What sounds complex in theory has long become reality in practice. Moqlero demonstrates impressively what Industry 4.0 cleanroom monitoring can look like.
Whether particle concentration, filter test, or air exchange rate – the platform initially automates mobile measurements of all kinds. And this opens up new possibilities: since all measurement results are available digitally natively, the new GMP Annex 1 trending requirements can be seamlessly fulfilled. Trend reports with graphics, tables, comments, and electronic signatures are generated without media discontinuities, with just a few clicks.
Moqlero offers six different types of trends:
– Filter efficiency, for evaluating long-term filtration performance
– Filter differential pressure, for early detection of clogging trends
– Particle counts, for identifying contamination developments
– Physical environmental parameters such as temperature and humidity
– Air volume flow, to ensure stable ventilation conditions
– Air change rate, for further verification of cleanroom compliance
Between Obligation and Opportunity
The requirements of Annex 1 may seem demanding at first glance – but they offer the chance to fundamentally improve quality processes. Consistent trending increases process stability, improves data quality, and reduces deviations and risks in the long term. Those still relying on manual processes risk not only compliance gaps but also valuable time that could be spent on what truly matters: quality and patient safety.
Getting started doesn't have to be difficult:
With Moqlero, automated trending can be set up quickly and is ready for immediate use – new insights, no upfront investments, and full compliance.
Conclusion
With the new EU GMP Annex 1, trending is finally moving from an optional tool to a regulatory obligation. At the same time, this development marks a fundamental change in the quality understanding of the pharmaceutical industry. The future no longer lies in retrospective data analysis, but in its digital, intelligent utilization.
Automated trending with Moqlero exemplifies a modern, integrated quality approach that meets the increasing demands for transparency, data integrity, and patient safety.
For pharmaceutical companies, the question is no longer whether this approach will be implemented, but how quickly a sustainable and future-proof implementation can be achieved.
MKL Ingenieurgesellschaft mbH
81827 München
Germany








