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Welcome to the Pharma.ai Blog, your source for expert perspectives on artificial intelligence, pharmacovigilance, drug safety, regulatory compliance, and digital transformation in the pharmaceutical industry.

Choosing right pharmacovigilance software vendor

Choosing a Pharmacovigilance Software Vendor: A Buyer’s Checklist 

Choosing the right PV software vendor is a strategic decision. It affects patient safety, regulatory compliance, operational efficiency, and long‑term scalability.  Organisations can build in-house solutions, outsource PV operations, license commercial platforms, or adopt hybrid models. Each of these has distinct trade-offs in control, cost, time-to-live, validation burden, and global reporting...
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The Complete Guide to AI-Powered ICSR Processing: What PV Teams Need to Know in 2026 

Every day, pharmacovigilance teams race against time: process thousands of adverse event reports accurately or face regulatory penalties, patient safety gaps, and reputational damage. Enter AI-powered ICSR processing. This is a paradigm shift that promises to bring down case handling time from weeks to days while improving data quality and compliance. But here’s the catch: not all AI tools are...
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AI assisted signal detection GVP Module IX

Best Practices for AI-Assisted Signal Detection Under GVP Module IX

Each day, millions of patients rely on medicines that are already on the market. However, a medicine’s safety profile doesn’t cease once it reaches the market. Rare adverse events, long-term effects, and unexpected drug interactions may only emerge after widespread use, making continuous safety monitoring essential. The challenge of the pharmacovigilance market isn’t the lack of data. It’s the...
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What is a drug safety database – Pharmacovigilance/Safety Database Systems explained

Medicines can provide significant therapeutic benefits, but their use may also be associated with unintended medical events. Detecting, documenting, and evaluating these events is therefore a continuous responsibility. At the heart of this process is the drug safety database. It’s a structured repository for collecting, managing, assessing, and reporting adverse events and adverse drug...
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Human-in-the-Loop AI: Why Full Automation Isn’t Always the Right Answer in PV

As the landscape of drug safety changes, so does the pharmacovigilance market. While PV has historically been conservative due to heavy regulation, the sheer volume of safety data is driving a shift toward AI. It brings the question: do we need AI automation to the extent we think we do? Is the adoption of AI actually going to replace scientific judgment with algorithmic probability? Or will AI...
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