Webinars

US FDA Medical Device QSR (21 CFR 820) / Quality Management System - current and proposed major changes

US FDA Medical Device QSR (21 CFR 820) / Quality Management System - current and proposed major changes

The US FDA/CDRH is proposing to harmonize the current Quality System Regulation (QSR) for medical devices (21 CFR 820) by converging its requirements with requirements used by many other regulatory authorities. ISO 13485, into a new device Quality Management System Regulation (QMSR).
Cybersecurity - The Latest US FDA  Requirements

Cybersecurity - The Latest US FDA Requirements

Cybersecurity is the art of protecting networks, devices, and data from unauthorized access or criminal use. It is the practice of ensuring confidentiality, integrity, and availability of information, and is a rapidly growing problem for industry. 
Validation Statistics for Non-Statisticians

Validation Statistics for Non-Statisticians

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.
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.
Medical Device Cybersecurity Risk Management Training

Medical Device Cybersecurity Risk Management Training

This webinar will give you a clear structured overview and introduction, into the cybersecurity risk management in relation to the cybersecurity regulation in EU and US and its requirements in the EU and US.
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.
Analytical Method Validation and Transfer

Analytical Method Validation and Transfer

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.
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.
Good Documentation Practice (GDP) and FDA Validation Compliance for Regulated Computer Systems and Data

Good Documentation Practice (GDP) and FDA Validation Compliance for Regulated Computer Systems and Data

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.
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.
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
Computer System Validation (CSV) vs. Computer System Assurance (CSA): Aligning the Agile Methodology to the GAMP®5 "V" Model and System Development Life Cycle (SDLC) Methodology

Computer System Validation (CSV) vs. Computer System Assurance (CSA): Aligning the Agile Methodology to the GAMP®5 "V" Model and System Development Life Cycle (SDLC) Methodology

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.

Process Capability for Normal and Non-Normal Data (Focus: Process Stability, Capability and Cp, Cpk, Pp, Ppk, Cpm)

Process Capability for Normal and Non-Normal Data (Focus: Process Stability, Capability and Cp, Cpk, Pp, Ppk, Cpm)

This webinar discusses methods for estimating process capability for both normal and non-normal data. Methods include estimating the proportion of defective products that may be produced as well as the calculation and use of common process capability indices (e.g. Cpk and Ppk). Process Capability assessments are discussed in the overall context of quality improvement/management.

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