Data Analysis in QSR

Instructor: Daniel O Leary
Product ID: 704990
  • Duration: 90 Min
Data analysis is one of the most powerful improvement tools because it can lead to cost reductions and preventive action. To use these techniques you need to know both the regulatory requirements and the analysis framework. This webinar gives you the tools and techniques to implement an effective data analysis program.
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Bonus Material:

You will receive a checklist to help implement your improvement project.

Why Should You Attend:

Corrective and Preventive action is the most frequently cited section in device Warning Letters and data analysis is the most frequently cited subsection. This suggests that device manufacturers need to understand FDA’s expectations and meet them with a robust approach to data analysis. However, data analysis is more than a regulatory requirement. It is an effective method for a device manufacturer to identify problems, analyze their causes, and take action. These activities can reduce cost and increase customer satisfaction. For example, a Warning Letter points out that 17% of complaints were returns for shipping the wrong product. It concludes, “This [problem] was not identified, no investigation was performed, and no corrective action was taken.”

With the appropriate framework and analysis tools, the company could have found the problem, eliminated the cost, and prevented the customer dissatisfaction. Instead, an FDA Investigator uncovered the issue; now the company must take additional action (and allocate resources) to address the Warning Letter.

This presentation helps you understand the issues and take action. For example, some companies believe there is a requirement to “trend” the data. However, FDA-CDRH says that is only one tool among the many statistical analysis techniques. You will learn about a recommended set of techniques and why trending is only among many viable methods.

The Global Harmonization Task Force has a guidance document that provides a framework for implementation. The webinar covers this framework and explains how you could use it to implement an effective system.

Areas Covered in the Webinar:

  • Learn the difference between corrective action and preventive action – a pervasive problem
  • Understand the requirements from QSR and the expectations FDA set
  • How to pick the appropriate data analysis techniques from ISO/TR 10017:2003
  • Use the GHTF guidance document to design and implement your improvement program
  • Review FDA Warning Letters that illustrate the issues device manufacturers face

Who Will Benefit:

  • Senior management
  • Regulatory affairs
  • Quality assurance
  • Production
  • R&D and engineering
  • Data analysts
Instructor Profile:
Daniel O Leary

Daniel O Leary
President, Ombu Enterprises, LLC

Dan O'Leary is President of Ombu Enterprises, LLC, a company offering training and execution in Operational Excellence, focused on analytic skills and a systems approach to operations management. Dan has more than 30 years experience in quality, operations, and program management in regulated industries including aviation, defense, medical devices, and clinical labs. He has a Masters Degree in Mathematics; is an ASQ certified Biomedical Auditor, Quality Auditor, Quality Engineer, Reliability Engineer, and Six Sigma Black Belt; and certified by APICS in Resource Management.

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Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

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