PT - JOURNAL ARTICLE AU - Campbell, Cliff TI - FDA 2011 Process Validation Guidance: Lifecycle Compliance Model AID - 10.5731/pdajpst.2014.00972 DP - 2014 Mar 01 TA - PDA Journal of Pharmaceutical Science and Technology PG - 185--191 VI - 68 IP - 2 4099 - http://journal.pda.org/content/68/2/185.short 4100 - http://journal.pda.org/content/68/2/185.full SO - PDA J Pharm Sci Technol2014 Mar 01; 68 AB - This article has been written as a contribution to the industry's efforts in migrating from a document-driven to a data-driven compliance mindset. A combination of target product profile, control engineering, and general sum principle techniques is presented as the basis of a simple but scalable lifecycle compliance model in support of modernized process validation. Unit operations and significant variables occupy pole position within the model, documentation requirements being treated as a derivative or consequence of the modeling process. The quality system is repositioned as a subordinate of system quality, this being defined as the integral of related “system qualities”. The article represents a structured interpretation of the U.S. Food and Drug Administration's 2011 Guidance for Industry on Process Validation and is based on the author's educational background and his manufacturing/consulting experience in the validation field. LAY ABSTRACT: The U.S. Food and Drug Administration's Guidance for Industry on Process Validation (2011) provides a wide-ranging and rigorous outline of compliant drug manufacturing requirements relative to its 20th century predecessor (1987). Its declared focus is patient safety, and it identifies three inter-related (and obvious) stages of the compliance lifecycle. Firstly, processes must be designed, both from a technical and quality perspective. Secondly, processes must be qualified, providing evidence that the manufacturing facility is fully “roadworthy” and fit for its intended purpose. Thirdly, processes must be verified, meaning that commercial batches must be monitored to ensure that processes remain in a state of control throughout their lifetime.