Advanced Auditing Strategies to Detect and Mitigate Data Integrity Risks
Upon earning a degree in Zoology at North Carolina State University, Joy made her debut in the pharmaceutical industry in 1992 at Pharmacia & Upjohn performing Environmental Monitoring and Sterility Testing. Her hard work allowed her to move into a supervisory role at Abbott Laboratories where she oversaw their Quality Control Lab. In 1998 Joy moved to Wyeth Lederle and worked in Quality Assurance, performing GMP Compliance audits, batch record reviews, and holding annual GMP training for new employees. After working in Quality Assurance for a few years, Joy moved into Equipment Qualification and Cleaning Validation at Mallinckrodt.
With 14 years of experience as a consultant, and over 25 years total experience in the pharmaceutical and biotech industries, Joy has gained extensive knowledge of Quality Assurance, Process and Cleaning Validation, and Equipment Qualification. She has written and executed Equipment Qualification and Validation Protocols for numerous Companies such as Mallinckrodt, Wyeth Lederle, Merck, BioMerieux, Catalent, and Phillips Midsize.
Her knowledge, experience, and strong work ethic have made her a highly sought-after engineer in both the pharmaceutical and biotech industries. Joy specializes in Equipment Qualification, Sterilization, Cleaning Validation, and GMP Compliance Auditing.
In 2013 Joy started her own company, Maynard Consulting Company, which provides top engineers, auditors, and validation specialist to pharmaceutical, biotech and medical device clients across the United States, Canada, and the world.
Auditing is a critical aspect of an overall data integrity assurance plan. To successfully audit the integrity of data, auditors must possess specific knowledge, insights, and skills. A solid audit strategy and plan are critical to providing the highest degree of assurance that no data integrity breaches have occurred, short of 100% verification (which is unfeasible in an industry that generates large volumes of data). But first, an auditor must understand what to look for before embarking on a data integrity audit. It is important to focus on high-risk areas within a dataset since these provide the greatest opportunities to identify issues in the limited time available.
Course Level - Intermediate
Why Should Attend
Where are your records, what are the formats, how are they being tagged and classified, what kinds of policies are you applying to management and how well and consistently are you enforcing those policies?
This webinar will help attendees learn how to apply consistent Meta tags and policies to all documents and records. It will also teach how to reduce compliance and e-discovery risks.
This webinar is designed for people tasked with performing audits for their organizations for data integrity. It is also for those tasked with records management. This includes individuals that have Quality Management Systems responsibilities for making general improvements in their organization's performance specifically related to equipment that produces and stores data, processes, and documentation.