Adverse Event Detection
with AI
NLP extraction of adverse events with severity classification and aggregation.
Safety signals hide in narrative text across thousands of case reports.
NLP extraction of adverse events with severity classification and aggregation.
Detect signals earlier. Improve patient safety.
How DataStruct AI delivers Adverse Event Detection
Evidence-backed AI
Every output cites the source paragraph. Verification pass catches fabricated claims.
Healthcare domain pack
Pre-configured terminology, document types, and rule packs purpose-built for healthcare.
Audit trail by default
Every action logged. Every claim traceable. Pass audits without the fire drill.
Built to scale
Multi-tenant architecture with SSO, RBAC, audit logs, and SOC 2 (in progress). Scales to thousands of users without losing tenant isolation.
More Healthcare use cases
Systematic Reviews
AI screens thousands of papers, extracts study data, and synthesises evidence with PRISMA-compliant outputs.
Regulatory Submissions
Automated cross-reference checking, citation validation, and compliance gap detection.
Medical Literature Monitoring
Custom alerts on PubMed, journals, and conference abstracts with AI-generated summaries.
Run Adverse Event Detection on DataStruct AI
Tell us what you're working with. We'll spin up a tailored workspace and walk your team through it.
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