FDA Regulatory Compliance Training - Live Webinars, Recordings & CDs

The objective of this interactive, live training webinar is to explore the management of OOS practices and suggested avenues to take to minimize deviations, OOT, OOS and CAPA and how to attack these situations should they occur. It is also designed to determine how FDA and ICH regulations and guidances may impact them. It will also reference the new PDA TR 88, “Microbial Data Deviation Investigations in the Pharmaceutical Industry”.

During the webinar, we will discuss FDA’s considerations for adapting its review process for AI-enabled medical devices that have the ability to evolve rapidly in response to new data, sometimes in ways difficult to foresee. You’ll also learn about current and potential uses of AI in health care and the challenges posed. We’ll cover how and under what circumstances products relying on AI are regulated by FDA, and how to ensure benefits of products outweigh risks.

Implementing a Quality Management System (QMS) involves a structured process to ensure consistent quality across an organization's operations. It typically starts with understanding the organization's context, defining policies and objectives, mapping key processes, and then implementing, monitoring, and continuously improving the system. The implementation process can vary based on the organization's size and complexity, but generally takes 3-18 months depending on an organization’s size.

This webinar covers useful and important statistical methods that assist scientists and engineers in the development of appropriate product and process specifications. Appropriate product specifications are critical to achieving adequate and reliable product performance.

This training on FDA software validation and verification will provide you the best practices necessary to ensure that all systems are validated in compliance with FDA regulations.

The ability of artificial intelligence / machine learning software to learn from real-world feedback and improve its performance is spurring innovation and leading to the development of novel medical devices. The FDA recognizes AI's advantages and dangers and has started to outline its expectations of industry and device design, programming, unique validation issues, documentation and submissions.

Mapping and evaluating all the steps in a pharmaceutical manufacturing and packaging workflow can lead to valuable process improvements. In this webinar, we discuss how this review can be accomplished and the possible benefits that can result.

This webinar will focus on the regulatory and design requirements for an effective change control system in the pharmaceutical industry. Attendees will learn the role and importance of change control system in implementing an effective quality system.

Attendees of this webinar will learn specific concepts and formulas commonly used to measure the ability of a process to produce output within customers’ specification limits. The focus of this webinar is on providing the information needed for attendees to know the appropriate measures and formulas to use for the various types of process data (attribute or variable).

This webinar covers useful and important statistical methods that assist scientists and engineers in the development of appropriate product and process specifications. Appropriate product specifications are critical to achieving adequate and reliable product performance.

This online program offers an introduction to the international principles and regulations behind commissioning and installation qualification (IQ).

Companies engaged in the conduct of human clinical trials must adhere to specific government regulatory requirements. Certain documents, content and images related to a clinical trial must be stored and maintained, and depending on the regulatory jurisdiction, this body of information may be stored in a trial master file (TMF) or electronic trial master file (eTMF).

Learn how to use Microsoft Excel spreadsheets for GXP data to ensure compliance with 21 CFR Part 11 and reduce validation cost and time.

Both the U.S. FDA and EU's MDR expect documented risk-based clean room manufacturing environment per ISO 14644-series, ISO 14698-series (and the old FED-STD 209E).

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.

Statistical Methods are typically used to ensure that product performance, quality, and reliability requirements are met during the Design Validation phase of product development. This webinar discusses common elements of sample size determination and several specific sample size applications for various design validation activities including Reliability Demonstration/Estimation, Acceptance Sampling, and Hypothesis Testing.

This webinar will teach attendees best practices for conducting effective quality audits to ensure regulatory compliance. Learn how to avoid potential pitfalls during the audit process.

This course will provide a thorough review of regulatory guidelines on method validation and transfer. It provides guidance on how to perform QC analytical test method validations and transfers.

Computer system validation has been regulated by FDA for more than 30 years, as it relates to systems used in the manufacturing, testing and distribution of a product in the pharmaceutical, biotechnology, medical device or other FDA-regulated industries. The FDA requirements ensure thorough planning, implementation, integration, testing and management of computer systems used to collect, analyze and/or report data. Electronic records and electronic signatures (ER/ES) came into play through guidelines established by FDA in 1997, and disseminated through 21 CFR Part 11. This code describes the basic requirements for validating and documenting ER/ES capability in systems used in an FDA-regulated environment.

CGMP companies must develop / implement formal software V&V for medical product under IEC 62304 and a key US FDA Guidance Document.