Data-Driven Contamination Control by Walid El Azab | QP Pro Services
Publication note
Walid El Azab's article in the PDA Journal of Pharmaceutical Science and Technology addresses a practical question for sterile manufacturing leaders: how can a site demonstrate that its contamination control strategy remains in a state of control using objective, data-driven evidence?
The article focuses on the use of inferential statistics and performance indicators to move CCS reviews beyond static descriptive trending. For quality, microbiology and sterility assurance teams, this creates a stronger basis for interpreting changes over time, confirming whether controls remain effective, and supporting decisions after process or operational changes.
QP Pro Services links to the PDA Journal publication as the authoritative source. The full article is available through PDA JPST using the journal link and DOI below.
Why it matters
- Connects CCS performance reviews with objective indicators rather than subjective snapshots alone.
- Frames inferential statistics as a tool for confirming state of control in pharmaceutical operations.
- Supports sterility assurance teams when interpreting trends, CAPA effectiveness and operational change.
- Gives quality leaders a stronger evidence base for inspection-ready contamination control decisions.
Read the full publication in the PDA Journal: Data-Driven Contamination Control: Leveraging Inferential Statistics to Confirm State of Control Through Objective Performance Indicators.