This 4-hour seminar will provide attendees with the theory and application of time series analysis. The main focus will be on auto regressive integrated moving average (ARIMA) techniques. Variations of the ARIMA and other models which operate under non-linear data, non-stationary data, seasonality, and trends will also be examined.

As part of the Case for Quality program US FDA Center for Devices and Radiological Health noted how an excessive focus by industry on compliance rather than quality may be diverting resources and management attention toward meeting regulatory compliance requirements vs. adopting best quality practices. There has also been a lower than anticipated investment in automation and digital technologies, which could greatly improve quality and process control. A key element is a risk-based, product quality and patient-centric approach to Computer System Assurance (CSA) vs. the traditional Computer System Validation (CSV) waterfall approach. This encourages critical thinking based on product and process knowledge and quality risk management over prescriptive documentation driven approaches.

This is where FDA determined that “WHAT” is required can be done (the “HOW”) in different ways and does not have to be according to the “checklist” mindset of most CSV work, where you create documents without specifically addressing the risk of potential failure of each requirement.

GAMP®5 supports the use of incremental, iterative, and evolutionary approaches including agile, for development of custom applications. Keys to success include a robust Quality Management System and well trained and highly disciplined teams following well-defined processes supported by tools and automation.