Best Pharmacovigilance Software for PostgreSQL

Compare the Top Pharmacovigilance Software that integrates with PostgreSQL as of October 2025

This a list of Pharmacovigilance software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What is Pharmacovigilance Software for PostgreSQL?

Pharmacovigilance software is software to enhance drug safety by automating the detection, monitoring, and management of adverse drug reactions (ADRs). It streamlines processes such as case intake, signal detection, compliance reporting, and risk assessment, ensuring regulatory adherence across global markets. By leveraging advanced technologies like artificial intelligence and data analytics, it processes large datasets from sources like clinical trials and patient feedback to identify potential safety concerns. The software enables pharmaceutical companies and healthcare organizations to improve operational efficiency while maintaining high safety standards. Ultimately, it plays a critical role in protecting patient health and ensuring the safety of pharmaceutical products. Compare and read user reviews of the best Pharmacovigilance software for PostgreSQL currently available using the table below. This list is updated regularly.

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    Evidex

    Evidex

    Advera Health Analytics

    Automated surveillance of any data source, fully integrated with a GVP IX compliant signal management platform. GVP-IX compliant signal management platform integrated within Evidex and ready to use off-the-shelf. Modernize and audit-proof your management processes without having to move back and forth between platforms and services. Unlock the value of your safety data. When you automate signal detection and management, you can focus not just on regulatory requirements, but on driving value for your organization. Identify safety signals from traditional sources like ICSR databases, FDA Adverse Event Reporting System (FAERS), VigiBase and clinical trial data. Include new data sources such as claims, EHR, and other unstructured data. Bring these pools of information together seamlessly to enhance signaling algorithms, make validations and assessment more efficient, and provide faster answers to drug safety questions.
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