News07.06.2024

Charting the Future: The Evolution of PV System Architecture?

digital safety vigilance
News
Author: Robert Scheiner, CIO, iVigee

In today's changing world, technology is reshaping the pharmacovigilance (PV) landscape significantly. The Generative AI, alongside other data management innovations, is going to revolutionize PV system architectures, making them more intelligent, automated, reliable, and scalable than ever before.

Looking ahead, one might wonder what the future PV system architecture will look like few years from now. Let us imagine a framework that integrates immutable and stream processing technologies to elevate automation — a future where operations are seamless, traceability is inherent, scalability is effortless, and consistency is intrinsic.

In this evolving landscape, several emerging observations are noteworthy:

  1. The distinction between Safety departments and operational units persists, despite ongoing discussions.
  2. Generative AI and Large Language Models (LLMs) are becoming pivotal in automating all Safety subsystems.
  3. The core of the in-house Safety system revolves around a robust event streaming hub, capturing data and events in real-time, fostering an immutable, reliable source of truth that can be revisited for compliance and analysis.
  4. Blockchain technology is emerging as a key player for shared data sources, enhancing the integrity and transparency of data exchange in pharmacovigilance.

The architectural principles of event streaming are foundational to this vision:

  • Immutability: Once written to the stream, adverse reactions, product complaints or any other data or external event records remain unalterable, with any updates forming new versions, thus maintaining absolute data integrity.
  • Streaming: This continuous data flow enables real-time analysis and immediate action on emerging adverse drug reaction patterns from various sources.
  • Event-Based: Tailored to reactive systems and micro-services, this approach prioritizes immediate response to specific events, like new adverse event reports, facilitating swift analysis and action.
  • Scalability: The architecture is built to manage increasing data volumes and complexity. Scalability also means that extending such system with additional features might be merely a matter of "plugging in" another process with its own flavor of LLM that contains specifically engineered and fine-tuned system prompts.
  • Near Real-Time: The system ensures data is almost duplicate-free and updates are instantaneous, allowing the pharmacovigilance team to rapidly address potential drug safety concerns with minimal delay.

In the broader surrounding context, incorporating blockchain technology within pharmacovigilance offers multiple advantages:

  1. Transparency and Traceability: Blockchain provides an immutable ledger, ensuring that once a report is submitted, it cannot be altered or deleted. This creates a transparent and auditable trail of all submissions, enhancing trust in the pharmacovigilance process.
  2. Security: With its decentralized nature, blockchain enhances data security, reducing the risk of tampering and unauthorized access to sensitive patient and drug safety information.
  3. Efficiency: Blockchain can streamline the submission and processing of ICSRs by automating certain steps and reducing the need for intermediaries. This can lead to faster detection and response to potential drug safety issues.
  4. Data Integrity: The immutable record-keeping aspect of blockchain ensures the integrity of safety data throughout its lifecycle, from submission to analysis. This is crucial for accurate assessment and decision-making in drug safety monitoring.
  5. Interoperability: Blockchain can facilitate better interoperability between different stakeholders in the pharmacovigilance ecosystem, such as regulatory agencies, pharmaceutical companies, and healthcare providers, by providing a standardized, secure platform for data exchange.


Transitioning to such an advanced PV system architecture doesn't necessitate a complete overhaul. iVigee is at the forefront, offering incremental development and harmonization of system components to achieve optimal performance, flexibility, scalability, and cost efficiency - right now.

We invite you to explore these transformative ideas further. By integrating Generative AI and LLM technologies into our strategy, iVigee is not only keeping pace with technological advancements but also defining the standards for AI-driven pharmacovigilance solutions.

Connect with us to be part of this exciting journey towards the future of PV system architecture. www.ivigee.com/ai-in-pv/ai-implementation/ai-implementation-overview