US. Customs Import Rules and Export Traps in 2020

You need to have a plan in place and know what you are doing.

FDA and the Customs and Border Patrol Service (CBP) have become increasingly sophisticated and equally demanding in the submission of import information and adherence to government procedures. Firms that fail to understand and properly execute an import and export program find their shipments delayed, detained or refused. As of December 2016, FDA and CBP officially implemented the Automated Commercial Environment (ACE) entry filing system. You either meet ACE requirements or face entry refusals and monetary penalties of up to $10,000 per offense. Other factors can derail the expectation of a seamless import entry process. The course covers detailed information about the roles and responsibilities of the various parties involved with an import operation and how to correct the weakest link(s) in the commercial chain. The course will include tips on how to understand FDA’s thinking, negotiate with the FDA and offer anecdotal examples of FDA’s import program curiosities.

Why you have to study:

What happens when your product is detained? FDA will begin a legal process that can become an expensive business debacle. You must respond fully within short timeframes. This is not the time for you to be on a learning curve. You need to have a plan in place and know what you are doing.

The FDA is steadily increasing the legal and prior notice information requirements. If you do not know what those requirements are and you initiate a shipment, your product is figuratively dead in the water. You must be accurate with the import coding information and understand the automated and human review process. If not, you can expect detained shipments. CBP is implemented a new “Automated Commercial Environment” computer program that changes import logistics and information reporting for FDA regulated products. Your shipment may be stopped before it is even loaded at the foreign port.

When products are refused, you have different options. Some options may cost more than others. For example, your product can be seized and destroyed by the government. You may be fined if you do not act in a timely manner. These are common problems that become prohibitively expensive. You should know how to avoid common problems or at least how to mitigate the cost by using established and effective business planning.

Learn how to deal with common problems, such as returns for repair, importing QC samples, and investigational products

On a positive note, the FDA is implementing the Voluntary Qualification Importer Program under the FDA Food Safety and Modernization Act. One other perk is that FDA offers export certificates, for a modest fee, which may give you a competitive advantage in foreign markets. In some cases, a FDA export certificate is required by foreign governments. Finally, the new EU Medical Device Regulation will change how FDA manages foreign inspections and in your favor.

About the Instructor:

Casper (Cap) Uldriks, owns Encore Insight LLC, which provides consulting services on FDA Law. He brings over 32 years of experience from the FDA. He specialized in the FDA’s medical device program as a field investigator, served as a senior manager in the Office of Compliance and as an Associate Center Director for the Center for Devices and Radiological Health. He developed enforcement actions and participated in the implementation of new statutory requirements. He is recognized as an exceptional and energetic speaker. His comments are candid, straightforward and of practical value. He understands how FDA thinks, operates and where it is headed.

Register here for full details

eCTD Submissions of IND/NDA to the US FDA, EU and Canada

It will provide you with information to ensure that you are ready for implementing the mandated requirements of the CTD/eCTD. 

The international agreement to assemble all Quality, Safety and Efficacy information for a drug or biologic product into a common format (called the CTD – Common Technical Document) has improved the speed and efficiency for companies working in global development programs and clarified expectations by regulatory bodies.

Reformatting for multiple submissions is substantially limited.  The CTD has improved the regulatory review processes and enabled implementation of good review practices. The eCTD has increased efficiency for reviewers and improved submission times.  Beginning in May 2017, the eCTD will be required in the US for all marketing applications.

This webinar will provide you with information to ensure that you are ready for implementing the mandated requirements of the CTD/eCTD.

Those who are benefited by this

  • Regulatory Affairs
  • Quality Assurance
  • Pharmacovigilance
  • Project Management
  • Regulatory Operations
  • Anyone responsible for providing content for the CTD

Instructor:

Peggy J. Berry , MBA, RAC, is the President & CEO at Synergy Consulting where she provides consulting services to companies in all aspects of drug development. She also provides group and one-on-one training in drug development, regulatory affairs and project management topics. Prior to founding Synergy Consulting in 2015, she was Vice President of Regulatory Affairs at Insmed (2/2015-5/2015) where she was responsible for the development and implementation of global regulatory strategies and the management and oversight of the regulatory affairs department. Prior to Insmed, she was Vice President of Regulatory Affairs and Quality at Amarin (3/2009-2/2014).

Good Laboratory Practices (GLPs) Comparing and Contrasting GMP

Non-clinical laboratory studies in which tests article are studied in test system under laboratory conditions to determine their safety.

To compare and contrast between Good Laboratory Practices and Good Manufacturing practices.

Good Laboratory Practices (GLPs), 21 CFR part 58 are not set of guidelines but they are regulations for conducting nonclinical laboratory studies that support or are intended to support applications for research or marketing permits for products such as food and color additives, human and animal drugs, medical devices for human use, biological products and electronic products that are regulated by the FDA.

microsoft-IoT-AI-insider-lab

GLPs are enforceable by law. They do not include manufacturing of product. GLPS are for non-clinical laboratory studies in which tests article are studied in test system under laboratory conditions to determine their safety. This does not include studies utilizing human subjects, or clinical studies, or field trials on animals.

  • What are Good Laboratory Practices
  • Why were they created
  • What is the objective of GLPs and how are they associated with GMPs and SOPs
  • Statistical procedures for data evaluation
  • Instrumentation validation
  • Analytical and laboratory certification
  • Documentation and maintenance of records
  • Consequences of noncompliance
  • Disqualification and reinstatement

Who will be benefited by this

  • Quality Assurance Personnel
  • Quality Control Personnel
  • Research and Development Personnel
  • Regulatory Affairs Personnel
  • Project Managers
  • Manufacturing Managers
  • Validation Engineers
  • Internal Auditing Personnel
  • Microbiology Personnel
  • Auditors

Instructor Joy McElroy With over 20 years total experience in the pharmaceutical and biotech industries, Joy has gained extensive knowledge of Quality Assurance, Process and Cleaning Validation, and Equipment Qualification. She has written and executed Equipment Qualification and Validation Protocols for numerous Companies such as Mallinckrodt, Wyeth Lederle, Merck, BioMerieux, Catalent, and Phillips Medisize. 

Her knowledge, experience, and strong work ethic have made her a highly sought-after engineer in both the pharmaceutical and biotech industries. Joy specializes in Equipment Qualification, Sterilization, Cleaning Validation, and GMP Compliance Auditing.

The FDA Drug Development Process

This webinar provides an overview of the FDA’s Drug Development Process. This webinar also includes the major FDA regulations involved in the Drug Development Process – the GLP, GMP and GCP regulations.

This webinar is ideal for those who are new to the Drug Development process and those experienced researchers that need an update on FDA requirements.

Why should you Attend:This webinar is a must for those who have to have an understanding of FDA’s Drug Development Process.

Areas Covered in the Session:

  • Overview of FDA’s Drug Development Process
  • Nonclinical studies required
  • Human clinical studies required
  • IND requirements
  • NDA requirements

Who Will Benefit:

  • Regulatory Affairs Personnel
  • Quality Personnel
  • Research Personnel
  • Clinical Personnel
  • Project Managers
  • Legal Personnel
  • Those personnel that require a general understanding of the FDA’s Drug Development Process
Speaker Profile

Albert A. Ghignone MS, RAC is the CEO of AAG Incorporated. For more than 30 years his focus has been on FDA related matters in regulatory affairs, quality assurance and clinical affairs. He has expertise in dealing with all aspects of the FDA approval process for drugs, biologics, medical devices and generic drugs. He has worked in every major segment of the industry-research, quality assurance, regulatory affairs, manufacturing and clinical. He has been responsible for regulatory submissions, registrations, FDA liaison, clinical studies, compliance activities and FDA training. He also has expertise in the assessment of product and facilities for due diligence relative to FDA requirements. He lectures throughout the world on numerous FDA related matters. He is a consultant to FDA and trains FDA Field Force (those who conduct FDA inspections) on GCP, GLP and GMP). In addition to training FDA personnel Mr. Ghignone also consults/trains for Drug, Biologic and Medical Device companies, US Army HIV Research Group, NIH AIDS Group, US Army Surgical Research Group and the Naval Medical Research Group. He is a member of the Regulatory Affairs Professionals Society which elected him the 1984 Professional of the Year. He has served the society as Vice President, President and Chairman of the Board of Directors.

In recent years he has filed numerous FDA drug, biologic and medical device submissions for product approval. In addition he has been involved in two of the largest clinical trials conducted, the 8,000 patient clinical trial in Africa and the 16,000 patient clinical trial in Thailand.

Applied Statistics for FDA Process Validation

Course “Applied Statistics for FDA Process Validation” has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

In Guidance for Industry Process Validation: General Principle and Practices, process validation is defined as, “”…the collection and evaluation of data, from the process design stage through commercial production..” The guidance further delineates the ‘process design stage through commercial production’ into three distinct stages of the product lifecycle:

Stage 1: Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities.

Stage 2: Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing.

Stage 3: Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.

The first stage of process validation is process design. The Process Validation guidance document states, “A successful validation program depends on information and knowledge from product and process development. This knowledge and understanding is the basis for establishing an approach to control of a manufacturing process that results in products with desired quality attributes:

Manufactures should:

  • Understand the sources of variation
  • Detect the presence and degree of variation
  • Understand the impact of variation on the process and ultimately on product attributes
  • Control the variation in a manner commensurate with the risk it represents to the process and product.”

The second stage of process validation is process qualification. Although stage 2 has two elements, this course will focus on recommendations for the second element, PPQ. PPQ “combines the actual facility, utilities, equipment (each now qualified), and the trained personnel with the commercial manufacturing process, control procedures, and components to produce commercial batches.” Additionally, the process validation guidance document that “Each manufacturer should judge whether it has gained sufficient understanding to provide a high degree of assurance in its manufacturing process to justify commercial distribution of the product. Focusing exclusively on qualification efforts without understanding the manufacturing process and associated variations may not lead to adequate assurance of quality.”

The third stage of process validation is continued process verification. The process validation guidance document defines the need for this stage: “After establishing and confirming the process, manufacturers must maintain the process in a state of control over the life of the process, even as materials, equipment, production environment, personnel, and manufacturing procedures change.” Manufacturers should use ongoing programs to collect and analyze product and process data to evaluate the state of control of the process. These programs may identify process or product problems or opportunities for process improvements that can be evaluated and implemented through some of the activities described in Stages 1 and 2.”

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process validation program consistent with the FDA guidance. It begins with a primer on statistics, focusing on methods that will be applied in each remaining chapter. Next, it teaches the application of statistics for setting specifications and assessing measurement systems (assays), two foundational requirements for process validation. Lastly, the course applies statistic through the three stages of process validation defined by requirements in the process validation regulatory guidance documents. Methods taught through all three stages are recommended by regulatory guidance documents; references to the specific citations in the guidance documents are provided.

Why you should attend:

The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled “Process Validation: General Principles and Practices” consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.

Although established for the pharmaceutical industry, it also provides a useful framework for other industries.

Analyses in this course use the point-and-click interface of JMP software by SAS.

Areas Covered in the Session

  • apply statistics to set specifications and validate measurement systems (assays)
  • develop appropriate sample plans based on confidence and power
  • implement suitable statistical methods into a process validation program for each of the three stages
  • Stage 1, Process Design: utilize risk management tools to identify and prioritize potential critical process parameters; and define critical process parameters and operating spaces for the commercial manufacturing process using design of experiments (DOE)
  • Stage 2, Process Qualification: assess scale effects while incorporating large (pilot and/or commercial) scale data; develop process performance qualification (PPQ) acceptance criteria by characterizing intra and inter-batch variability using process design data and batch homogeneity studies; and develop an appropriate sampling plan for PPQ
  • Stage 3, Continued Process Verification: develop a control plan as part of a risk management strategy; collect and analyze product and process data; and ensure your process is in (statistical) control and capable.

Who Will Benefit:

This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.

  • Process Scientist/Engineer
  • Design Engineer
  • Product Development Engineer
  • Regulatory/Compliance Professional
  • Design Controls Engineer
  • Six Sigma Green Belt
  • Six Sigma Black Belt
  • Continuous Improvement Manager

Day 1 Schedule

Lecture 1: Introduction to Statistics for Process Validation

  • principles of process validation
  • stages of process validation

Primer on Statistical Analysis

  • basic statistics

Lecture 2: Primer on Statistical Analysis (cont.)

  • statistical intervals and hypothesis testing

Lecture 3: Primer on Statistical Analysis (cont.)

  • statistical intervals and hypothesis testing
  • ANOVA

Lecture 4: Primer on Statistical Analysis (cont.)

  • regression
  • run charts

Day 2 Schedule

Lecture 1: Foundational Requirements for Process Validation

  • setting specifications
  • analytical methodology

Stage 1 – Process Design

  • steps to DOE
  • screening designs

Lecture 2: Stage 1 – Process Design

  • response surface designs
  • establishing a strategy for process qualification

Lecture 3: Stage 2 – Process Qualification

  • introduction
  • incorporation of large-scale data
  • development of PPQ acceptance criteria
  • development of sampling plans

Lecture 4: Stage 3 – Continued Process Verification

  • statistical process control
  • process capability

Heath Rushing

Co-founder and Principal, Adsurgo

Heath Rushing is the cofounder of Adsurgo and author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. Previously, he was the JMP and Six Sigma training manager at SAS. He led a team of nine technical professionals designing and delivering applied statistics and quality continuing education courses. He created tailored courses, applications, and long-term training plans in quality and statistics across a variety of industries to include biotech, pharmaceutical, medical device, and chemical processing. Mr. Rushing has been an invited speaker on applicability of statistics for national and international conferences. As a Quality Engineer at Amgen, he championed statistical principles in every business unit. He designed and delivered a DOE course that immediately became the company standard required at multiple sites. Additionally, he developed and implemented numerous innovative statistical methods advancing corporate risk management, process capability, and validation acceptance criteria. He won the top teaching award out of 54 instructors in the Air Force Academy math department where he taught several semesters and sections of operations research and statistics. Additionally, he designs and delivers short courses in statistics, data mining, and simulation modeling for SAS.

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What are the FDA’s Process Validation requirements?

Process Validation (PV), according to the FDA, is collecting and assessing data right from the design stage till the production stage. PV is set out for all the stages of production for a product in the FDA-regulated industries. The core purpose of PV is to establish scientific proof that any process being employed has the capability of delivering quality products consistently.

The FDA’s process validation requirements are set out in its general principles of Process Validation. Starting from 1987, the FDA has been issuing guidelines at intervals to state, improve and strengthen the general principles of Process Validation. In almost a quarter century of the first guideline, the revision of January 2011 came into being. This guideline is considered a landmark and a guide for PV professionals since it reworked extensively and expanded the general principles on process validation. It is the current guideline from the FDA on Process Validation requirements.

These are what the FDA’s 2011 guideline on general principles on Process Validation propagate:

  • Incorporation of the principles of sound science
  • Taking steps to assess and mitigate risk
  • Bringing about improvements in every stage of the process
  • Adapting the science-based principles of contemporary manufacturing
  • Fostering and encouraging innovation

The centrality of control to process validation

Process validation is tied to the product lifecycle approach by the FDA general principles on process validation of 2011. The central purpose of process validation is to ensure that the process is in a state of control at all stages of production.

The following points illustrate the reason for which the FDA expects its PV requirements to be met:

  • Being a process that is ongoing and continuous, PV begins at the earliest stages of production and goes on till the product’s lifecycle is completed
  • Those in charge of commercial production should have deep and intimate knowledge of the workings of PV principles
  • Only this knowledge helps PV professional locate the sources of variability and address them
  • Only PV into which risk management is built frees errors from the product

The three stages of PV

The FDA stipulates three layers or stages on which its general principles of Process Validation are built:

  • Process design: The stage in which the knowledge gained helps the commercial process define the process development activities
  • Process qualification: The stage where PV guarantees that the process design has the capability for being reproduced at industrial level
  • Continued Process Validation: The most important stage PV in that this is where the element of control into the routine production process is introduced and built; Continued Process Validation takes under its ambit all activities such as continuous verification, maintenance, and process improvement. Information is collected and monitored during commercialization to assess the Continued Process Validation stage.

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Seminar

Applied Statistics for FDA Process Validation

Course “Applied Statistics for FDA Process Validation” has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

In Guidance for Industry Process Validation: General Principle and Practices, process validation is defined as, “”…the collection and evaluation of data, from the process design stage through commercial production..” The guidance further delineates the ‘process design stage through commercial production’ into three distinct stages of the product lifecycle:

Stage 1: Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities.

Stage 2: Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing.

Stage 3: Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.

The first stage of process validation is process design. The Process Validation guidance document states, “A successful validation program depends on information and knowledge from product and process development. This knowledge and understanding is the basis for establishing an approach to control of a manufacturing process that results in products with desired quality attributes:

Manufactures should:

  • Understand the sources of variation
  • Detect the presence and degree of variation
  • Understand the impact of variation on the process and ultimately on product attributes
  • Control the variation in a manner commensurate with the risk it represents to the process and product.”

The second stage of process validation is process qualification. Although stage 2 has two elements, this course will focus on recommendations for the second element, PPQ. PPQ “combines the actual facility, utilities, equipment (each now qualified), and the trained personnel with the commercial manufacturing process, control procedures, and components to produce commercial batches.” Additionally, the process validation guidance document that “Each manufacturer should judge whether it has gained sufficient understanding to provide a high degree of assurance in its manufacturing process to justify commercial distribution of the product. Focusing exclusively on qualification efforts without understanding the manufacturing process and associated variations may not lead to adequate assurance of quality.”

The third stage of process validation is continued process verification. The process validation guidance document defines the need for this stage: “After establishing and confirming the process, manufacturers must maintain the process in a state of control over the life of the process, even as materials, equipment, production environment, personnel, and manufacturing procedures change.” Manufacturers should use ongoing programs to collect and analyze product and process data to evaluate the state of control of the process. These programs may identify process or product problems or opportunities for process improvements that can be evaluated and implemented through some of the activities described in Stages 1 and 2.”

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process validation program consistent with the FDA guidance. It begins with a primer on statistics, focusing on methods that will be applied in each remaining chapter. Next, it teaches the application of statistics for setting specifications and assessing measurement systems (assays), two foundational requirements for process validation. Lastly, the course applies statistic through the three stages of process validation defined by requirements in the process validation regulatory guidance documents. Methods taught through all three stages are recommended by regulatory guidance documents; references to the specific citations in the guidance documents are provided.


Why you should attend:

The Food and Drug Administration (FDA) provided a guidance for industry in 2011 that has established a framework for process validation in the pharmaceutical industry. This guidance, titled “Process Validation: General Principles and Practices” consists of a three-stage process. The three stages are 1) Process Design, 2) Process Qualification, and 3) Continued Process Verification.

This course focuses on how to establish a systematic approach to implementing statistical methodologies into a process development and validation program consistent with the FDA guidance. This course teaches the application of statistics for setting specifications, assessing measurement systems (assays), using design of experiments (DOE), developing a control plan as part of a risk management strategy, and ensuring process control/capability. All concepts are taught within the three-stage product cycle framework defined by requirements in the process validation regulatory guidance documents.

Although established for the pharmaceutical industry, it also provides a useful framework for other industries.

Analyses in this course use the point-and-click interface of JMP software by SAS.


Areas Covered in the Session

  • apply statistics to set specifications and validate measurement systems (assays)
  • develop appropriate sample plans based on confidence and power
  • implement suitable statistical methods into a process validation program for each of the three stages
  • Stage 1, Process Design: utilize risk management tools to identify and prioritize potential critical process parameters; and define critical process parameters and operating spaces for the commercial manufacturing process using design of experiments (DOE)
  • Stage 2, Process Qualification: assess scale effects while incorporating large (pilot and/or commercial) scale data; develop process performance qualification (PPQ) acceptance criteria by characterizing intra and inter-batch variability using process design data and batch homogeneity studies; and develop an appropriate sampling plan for PPQ
  • Stage 3, Continued Process Verification: develop a control plan as part of a risk management strategy; collect and analyze product and process data; and ensure your process is in (statistical) control and capable.

Who Will Benefit:

This seminar is designed for pharmaceutical and biopharmaceutical professionals who are involved with product and/or process design, validation, or manufacturing/control.

  • Process Scientist/Engineer
  • Design Engineer
  • Product Development Engineer
  • Regulatory/Compliance Professional
  • Design Controls Engineer
  • Six Sigma Green Belt
  • Six Sigma Black Belt
  • Continuous Improvement Manager

Click Here to Continue Learning