Automated pharmacovigilance
Automatically detect and classify adverse event signals in reports and medical literature.
-60%
review time reduction
The problem
No reliable steering on automated pharmacovigilance.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Regulatory constraints slow execution.
Prerequisites: required data & tools
Required data
- Cas d'effets indésirables
- littérature médicale
- social media santé
Compatible tools
- IQVIA
- Oracle Argus + NLP
- custom NLP
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-12 months
In 6-12 months: Automatically detect and classify adverse event signals in reports and medical literature. with measured impact on review time reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for automated pharmacovigilance
Operational engine for automated pharmacovigilance
Steering dashboard with alerts
Action playbook and governance
Expert insight
Costly regulatory obligation. AI reduces review time by 50–70%.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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First step: a 30-minute call to understand your context.