Navigating the Unique Challenges of AI and Automation in Pharmacovigilance: The Vital Role of Computer System Validation (CSV)

Artificial Intelligence, Machine Learning, Automation, Cost Reduction: all the buzzwords in pharmacovigilance! Everyone seems to be implementing Automation and AI in pharmacovigilance to reduce manual work and reduce costs of safety monitoring. However, compared to all other fields where Automation and AI is being implemented, pharma as an industry is facing a unique set of challenges in implementing these systems.


Regulators such the USFDA and EMA require that computerized systems should be fit for intended use and meet current regulatory requirements. ‘Fit for intended use’ is a broad term that encompasses detailed testing, documentation, qualification and validation activities to demonstrate that the ‘use’ and ‘fitness for such use’ of a system is demonstrated effectively and is available for review during audits and inspections.


The method for achieving this is Computer System Validation, which is rooted in the principles of Good Automated Manufacturing Practice (GAMP), Title 21 CFR Part 11, and EU Annex 11. In the pharma space, the requirements become all the more critical, since it is no longer just about compliance; it’s about safeguarding lives.


The Indispensable role of CSV in Pharmacovigilance

In the next few parts of this series, I will be discussing some approaches that we have followed in implementing CSV procedures for software systems developed for the pharmacovigilance space, what we have learned in the process, how CSV can be applied by harmonizing international regulatory requirements and how it can be applied to the agile development. Stay tuned for more updates and reach out to me if you would like to see any other topics covered as part of the series.

Author

Tanvi Chaturvedi– Senior Manager, Clinical Safety and Pharmacovigilance

Tanvi is a pharma professional with more than 10 years of experience in pharmacovigilance. She has expertise in pharmacovigilance and clinical safety processes, including pre-approval, postmarketing and late phase safety requirements and has managed end-to-end project setup for EU and US based projects that include process
development, safety database and medical information database setup with data migration and validation, transition of overall PV services, team selection and mentoring, and troubleshooting across PV verticals. Has experience across various domains like ICSR processing in safety databases, literature management, aggregate reporting, signal management, regulatory intelligence, EudraVigilance systems, system automation, process
development and transition, and pharmacovigilance quality assurance. She is eligible to provide Responsible Person for EudraVigilance (RPEV) services to Sponsors of Clinical Trials in the EU.

About Soterius

Soterius is a strong team of pharma professionals who design customized, innovative, and cost-efficient processes for clinical safety, pharmacovigilance, and medical affairs. Our deep industry knowledge and up to date insights let us combine agile, people powered intelligence in pioneering customer centric solutions. Our innovative technology solutions include engagement tools and communications platforms to create a unified and compliant medical access facility. With a strong global presence, we provide comprehensive clinical and post marketed safety services, that include aggregate report writing, signal detection and management, global literature surveillance, risk management, case processing and regulatory reporting. We use state-of-the-art technologies to solve complex safety operations problems, be it case processing, intake, site reporting for clinical trials, or literature search and management. We have one of the most accurate solutions for case intake and case processing using AI.
We support companies from the initial development stage of a drug/vaccine to the approval and ultimate marketing of the therapy, supporting ongoing operations and regulatory commitments globally.

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