The Experts in FDA and USDA Regulatory Matters

The life science industries, including pharmaceutical, medical device, biotechnology, biological, and tobacco and tobacco-related products continue to embrace new technology to improve delivery of quality products in compliance with FDA. In addition, we’ve seen some trends toward making use of cloud services, Software-as-a-Service (SaaS) solutions, and other technical innovations that have more recently begun to be used more heavily in life science companies.
Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLMs), such as ChatGPT are beginning to find a presence at these companies. While life science companies tend to lag behind other markets in using these technologies, they are catching up and we are seeing much more activity related to AI use in software applications used to develop, produce, test, and manage life science products with quality and compliance.
As the pace of technological innovation and evolution becomes more intense, there is a critical need for computer system validation, 21 CFR Part 11 (Electronic Records and Electronic Signatures) compliance, and data integrity assurance to continue in environments where artificial intelligence (AI) and machine learning (ML) are becoming prevalent.
FDA became alarmed by the lack of compliance to meet data integrity and Part 11 requirements during the last decade. Out of compliance citations during this period, including Form 483s and Warning Letters have skyrocketed for these key areas of compliance. But why?
Based on discussions with clients and stakeholders at conferences and meetings, it has become more and more obvious that most of the performers in industry are under management pressure to do more work with fewer resources and in less time. This continues to lead performers to seek faster and easier ways to get the work done, and opens the door to more conversation around the use of AI/ML in software development, testing, and support.

During this webinar, we will focus on the importance of ensuring that both structured (e.g., database records) and unstructured (e.g., Word document, PDF, spreadsheet) data are maintained with integrity through their chronological life cycle. This requires recognition that FDA is laser-focused on data integrity issues based on industry inspection trends during the past decade.
FDA’s Guidance for Data Integrity, issued in December 2018, did not include a single new requirement. Instead, it reiterated parts of the Code of Federal Regulations (CFRs) that have been in place for decades, and which industry was failing to meet.

The life science industries, including pharmaceutical, medical device, biotechnology, biological, tobacco and tobacco-related products continue to embrace new technology to improve delivery of quality products in compliance with FDA.
We have seen the recent trend in industry toward using cloud-based services, Software-as-a-Service (SaaS) solutions, and other technical innovations. More recently, we have begun to see newer, emerging technologies including Artificial Intelligence (AI), Machine Learning (ML) algorithms & Large Language Models (LLMs), such as ChatGPT begin to find a presence within these companies.
While life science companies tend to lag behind other markets in using these technologies, they are catching up and we are seeing much greater use of AI in the development, testing, release & management of life science products with quality and compliance. This is most predominant in the medical device industry, where we find both medical devices that include software as a product component & Software-as-a-Medical-Device (SaMD) products that function as a medical device without the need for any hardware.