Webinars

Design History File (DHF) Remediation using Principles of Lean Documents and Lean Configuration

Design History File (DHF) Remediation using Principles of Lean Documents and Lean Configuration

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.
Risk Management for Medical Devices per ISO 14971 2019

Risk Management for Medical Devices per ISO 14971 2019

ISO 14971:2019 has introduced significant changes including benefit, reasonably foreseeable misuse and state of the art, as well as the management of risks associated with medical devices. It is important to be aware of these changes as technology continues to emerge.
How to Comply with FDA Regulations for Tobacco-Related Products: Computer System Validation, 21 CFR Part 11, & Data Integrity

How to Comply with FDA Regulations for Tobacco-Related Products: Computer System Validation, 21 CFR Part 11, & Data Integrity

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.
Aseptic Processing Overview and Validation

Aseptic Processing Overview and Validation

This course will provide an overview of the requirements for aseptic and bulk manufacturing operations, including facility design, contamination controls and acceptable personnel behaviors.
US FDA's AI Framework for Medical Devices

US FDA's AI Framework for Medical Devices

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.
EU's New Regulation 536/2014 on Clinical Trials

EU's New Regulation 536/2014 on Clinical Trials

EU's New Regulation 536/2014 on Clinical Trials to establish that a drug or device is safe and effective, tests are required. There are many preliminary tests, including lab tests, standards, guidance, etc. Finally the product must be tried out on humans / patients in a tightly controlled environment.
Predicting Product Life Using Reliability Analysis Methods

Predicting Product Life Using Reliability Analysis Methods

Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This presents a difficult challenge in many industries with short product cycles and compressed product development time frames. This webinar provides an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data.
CGMP Manufacturing Methods: P&PC and SPC

CGMP Manufacturing Methods: P&PC and SPC

This webinar is intended to provide guidance regarding the CGMPs on manufacturing methods utilizing the US FDA Production and Process Controls for Drugs and Devices and Statistical Process Controls (SPC) as taught by Drs. Demming and others and required also in the CGMPs and under control of variation process guidance.
Risk-Based Verification and Validation Planning to Meet US FDA and ISO 13485 Requirements

Risk-Based Verification and Validation Planning to Meet US FDA and ISO 13485 Requirements

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.
Sample Size Determination for Design Validation Activities

Sample Size Determination for Design Validation Activities

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.
Cleanroom, Microbiology and Sterility Assurance Practices for Drug and Device Manufacturers

Cleanroom, Microbiology and Sterility Assurance Practices for Drug and Device Manufacturers

This course will educate you about various key elements of sterility assurance and contamination control such as Cleanroom Regulations, Classification, Sources, and types of particles, Design Requirements, Validation/Qualification, Operations, Environmental Monitoring Program requirements, Excursion investigations, Data Trending, Microbiological processes/methodology, Cleanroom cleaning/disinfection.
Risk Management of Raw Materials in a GMP Environment

Risk Management of Raw Materials in a GMP Environment

The objective of this live, interactive webinar is to explore raw materials in a cGMP environment, their various regulatory requirements and how they may affect the timeline of meeting the release date of your Company’s products. Please plan to bring additional personnel to the webinar to obtain cross-Departmental training.
Test Method / Design Verification and Validation

Test Method / Design Verification and Validation

Both the U.S. FDA and EU's MDR expect documented risk-based device test method and design Verification and Validation under U.S. FDA cGMP, EU MRD and ISO 14971
Terminally Sterilized Pharmaceutical Products – Parametric Release ( New USP<1222>, November 2019) and its Relationship to the new British Terminal Steriliation Methodology (March 2019)

Terminally Sterilized Pharmaceutical Products – Parametric Release ( New USP<1222>, November 2019) and its Relationship to the new British Terminal Steriliation Methodology (March 2019)

This General Information Chapter (USP<1222>) will first cover the general issues related to parametric release, regardless of the modes of sterilization, and then discuss some specific modes of sterilization. It will also include information on USP<55> Biological Indicators as well as EU “Guideline on the Sterilization of Medicinal Products…” (March 2019). The webinar will discuss why it provides more accurate information than the sterility test regarding the release of terminally sterilized product to the marketplace.
The 510(k), IDE, Q-Sub, De Novo, and PMA Submission and Approval Process

The 510(k), IDE, Q-Sub, De Novo, and PMA Submission and Approval Process

The U.S FDA requires that 21 basic elements be addressed in the traditional 510(k) submission. This can serve as a model for other submissions.
Impact Assessment for Change Control

Impact Assessment for Change Control

Attend this webinar to learn the importance of doing a complete impact assessment prior to implementation of changes under change control. Tools and techniques will be presented to aid in organizing and streamlining impact assessments.
How to Ensure Your Foreign Vendors are FDA Compliant: Conducting Vendor Audits, Monitoring, and Using Checklists

How to Ensure Your Foreign Vendors are FDA Compliant: Conducting Vendor Audits, Monitoring, and Using Checklists

This webinar will give information on auditing foreign vendors for FDA compliance. It will discuss initiating audits, planning and preparing vendor audits, as well as, monitoring foreign vendor compliance. This webinar will provide FDA guidance on foreign vendor expectations, what to do and what not to upon selecting a foreign vendor. It will also provide audit formats and checklists for ensuring a foreign vendor is qualified.
Total Organic Carbon Analysis for Cleaning Validation in Pharmaceutical Manufacturing

Total Organic Carbon Analysis for Cleaning Validation in Pharmaceutical Manufacturing

In this cleaning validation webinar attendees will learn the Total Organic Carbon (TOC) feasibility, method validation and transfer from the laboratory to the manufacturing floor, as well as reviewing a feasibility study of multiple, difficult to oxidise or low solubility organic compounds.
Conducting Effective Mock FDA Inspections

Conducting Effective Mock FDA Inspections

This webinar will explain the differences between a GMP audit and a mock regulatory inspection, and will highlight the key considerations for effective conduct of a mock inspection, including problems to avoid.
Normality Testing: Applications and Issues

Normality Testing: Applications and Issues

This webinar discusses applications of normality testing and several issues that may arise when testing data for normality. Several methods for testing data for normality are presented. We discuss some of the common types of goodness-of-fit tests that may be used (e.g. Andersen-Darling, Kolmogorov Smirnoff, etc.). We also discuss common reasons that normality tests are rejected.

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