Faculty: John E. Lincoln | Code: MD2789
This webinar will discuss the Consideration of IQ, OQ, and PQ and their equivalents for processes, equipment (production and test), product, and cGMP e-records / e-signatures.
FDA Warning Letters and recent high-profile recalls indicate major cGMP deficiencies in big name device and pharma companies, many going back to insufficient, poor or non-existent product / equipment / process V&V requirements and execution. And now the FDA is taking an even tougher stance.
Areas Covered in the Session :
Who Should Attend:
This webinar will provide valuable assistance to all regulated companies that need to review and modify their company’s planning and execution of verification and validation, based on a proper understanding of the roles of IQ, OQ, and PQ, or equivalent terminology. Its principles apply to personnel / companies in the Medical Devices, Pharmaceutical, Diagnostic, and Biologics fields. The employees who will benefit include:
![]() | John E. Lincoln, is Principal of J. E. Lincoln and Associates LLC, a consulting company with over 36 years experience in U.S. FDA-regulated industries, 22 of which are as an independent consultant. John has worked with companies from start-up to Fortune 100, in the U.S., Mexico, Canada, France, Germany, Sweden, China and Taiwan. He specializes in quality assurance, regulatory affairs, QMS problem remediation and FDA responses, new / changed product 510(k)s, process / product / equipment QMS and software validations, ISO 14971 product risk management files / reports, Design Control / Design History Files, Technical Files, CAPA systems and analysis. He’s held positions in Manufacturing Engineering, QA, QAE, Regulatory Affairs, to the level of Director and VP (R&D). In addition, John has prior experience in military, government, electronics, and aerospace. He has published numerous articles in peer reviewed journals, conducted workshops and webinars worldwide on CAPA, 510(k)s, risk analysis / management, FDA / GMP audits, validation, root cause analysis, and others. He writes a recurring column for the Journal of Validation Technology. John is a graduate of UCLA. |