FDA Regulatory Compliance Training - Live Webinars, Recordings & CDs

The 80 problem solving process developed by the Department of Defense and driven by Ford Motor Company is a worldwide method used to improve quality address customer complaints and issues quickly and efficiently. The process helps develop rapid response to customer issues and complaints and strengthens business relationship with those customers and regulatory bodies. The process helps improve quality and supports and promotes prevention rather than simply the detection of problems.

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). All of the data and documents supporting the planning, conduct and evaluation of a clinical trial must be of the highest integrity, which must be maintained through their entire life cycle. Computer System Validation will be discussed as a key methodology for meeting all of these requirements and assuring data/document integrity.

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

This webinar provides details regarding the generation of acceptance sampling plans often used in process validation and production control to ensure quality of final products. By attending this webinar, participants will be able understand the key inputs and issues involved in determining acceptance sampling plans. Sampling plans for attribute data are the primary focus although variable acceptance sampling plans are presented as well.

In today's rapidly evolving scientific landscape, the 90-minute webinar titled "Human Error and Documentation Practices in Good Laboratory Practices (GLP)" offers an essential exploration of the critical role that accurate and complete documentation plays in maintaining the integrity of research processes. Delving into the heart of Good Laboratory Practices (GLP), this enlightening session uncovers the intricate relationship between meticulous documentation and the reliability of scientific findings. Over the course of the webinar, attendees will gain a comprehensive understanding of the multifaceted challenges posed by human errors within laboratory environments. With real-world examples, the webinar illustrates the potential consequences of inadequate documentation, underscoring the significance of precise record-keeping in safeguarding data integrity, research reproducibility, and regulatory compliance. Attendees will also glean valuable insights into common documentation errors and pitfalls, as well as invaluable strategies for bolstering documentation practices. From proactive measures and standardized procedures to fostering a culture of clarity and collaboration, participants will leave equipped with the tools to elevate their documentation practices and contribute to the overall credibility of their scientific endeavors.

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.

Design History File (DHF) Remediation using Principles of Lean Documents and Lean Configuration. Does your DHF remediation process resemble the very mess that it is trying to resolve?
The Design History File (DHF) is the objective evidence that a medical device was designed per design control guidance and applicable regulations and standards. While it is retrospective in nature, it is the end result of a process that begins with planning and ends with Design Transfer and has the Device Master Record (DMR) as a deliverable.

This webinar will provide valuable guidance to regulated companies in development and implementation of Design Control Planning and Techniques for new or heavily changed product development under 21 CFR 820.30, "Design Control", and ISO 13485 7.3. Also regulatory compliance proof of "progress against plan", and other activities requiring a planned documented rationale. It should be an important part of a company's IP (Intellectual Property).

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.

In this program, we will discuss the common statistics tools and techniques used in validation. Through real world examples and interactive exercises, we will demonstrate the basic concepts of statistics and how to apply them to your validation projects. Discussion will center around measures of variance, sample distributions, and expressions of variance. The session will conclude with a discussion of the concept of process capability and using process capability to set acceptance criteria for validation.

This webinar will provide an in-depth review of enforcement actions taken by the HHS OIG over the previous two months. We will also briefly review the Anti-Kickback Statute (“AKS”), discuss any new safe harbors, and OIG Advisory Opinions that have been issued.

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).

This 21 CFR Part 11 compliance training will guide you through the requirements of Part 11 and will also explain its 3 primary areas: SOPs, product features and validation (10 step risk based approach).

Skilled auditors require a method that aligns what they experienced during the reviewing process with what they compose during the writing process. This report writing workshop will provide foundation resources that participants can continually turn to during intense, complex audit engagements.

This webinar is intended for those working in the FDA-regulated tobacco and related industries, including e-liquids (vapor), e-cigarettes, cigars, and smokeless tobacco products. Functions that are applicable include research and development, manufacturing, Quality Control, distribution, clinical testing and management, adverse events management and post-marketing surveillance. You should attend this webinar if you are responsible for planning, executing or managing the implementation of any system governed by FDA regulations, or if you are maintaining or supporting such a system.

This course will provide an overview of the requirements for aseptic and bulk manufacturing operations, including facility design, contamination controls and acceptable personnel behaviors.

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.

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.

In this webinar attendees will learn both the U.S. FDA and EU's MDD/MDR expect documented risk-based "master" and "individual" V&V planning. Various validation terms are explained with useable “working” definitions. The Validation Master Plan, and suggested field-tested individual V&V plans, Test Report / Protocol formats, and individual test cases, IQ, OQ, and PQs, are presented.

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.