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Downloaded from on August 16, 2013
Risk-based Methodology for Validation of Pharmaceutical
Batch Processes
Frederick Wiles
PDA J Pharm Sci and Tech 2013, 67 387-398
Access the most recent version at doi: 10.5731/pdajpst.2013.00923
Downloaded from on August 16, 2013
TECHNOLOGY/APPLICATION
Risk-based Methodology for Validation of Pharmaceutical
Batch Processes
FREDERICK WILES, ASQ CQE*
ProPharma Group, Inc., 10975 Benson Dr. Suite 330, Corporate Woods Bldg. 12, Overland Park, Kansas 66210
©PDA, Inc. 2013
ABSTRACT: In January 2011, the U.S. Food and Drug Administration published new process validation guidance for
pharmaceutical processes. The new guidance debunks the long-held industry notion that three consecutive validation
batches or runs are all that are required to demonstrate that a process is operating in a validated state. Instead, the
new guidance now emphasizes that the level of monitoring and testing performed during process performance
qualification (PPQ) studies must be sufficient to demonstrate statistical confidence both within and between batches.
In some cases, three qualification runs may not be enough. Nearly two years after the guidance was first published,
little has been written defining a statistical methodology for determining the number of samples and qualification runs
required to satisfy Stage 2 requirements of the new guidance. This article proposes using a combination of risk
assessment, control charting, and capability statistics to define the monitoring and testing scheme required to show
that a pharmaceutical batch process is operating in a validated state. In this methodology, an assessment of process
risk is performed through application of a process failure mode, effects, and criticality analysis (PFMECA). The
output of PFMECA is used to select appropriat
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