intake - graphsafety.ai

/intake: Decoded Intelligence, Every Channel

graph safety /intake unifies disparate safety inputs into a single governed intake layer, transforming scattered safety data into a trusted, structured foundation for downstream workflows.

The Challenge

Managing safety data across legacy systems, spreadsheets, and silos makes it difficult to maintain a complete and accurate view. Teams spend valuable time reconciling conflicting records, which delays insights and increases compliance risk, while regulators demand a single validated source of truth.

graph safety suite

/intake

graph safety /intake acts as the controlled entry point for all safety data. It brings fragmented multi-source inputs into a single governed intake layer before downstream processing. This layer establishes structure traceability and semantic context at the very first step of the safety workflow.

Connected Data and Intelligence Foundation

Multi-Channel Ingestion

Ingests safety data from MICC literature, email, social media, partner systems, patient programmes, clinical trials and regulatory channels through a single controlled intake gateway.

Knowledge Graph

Applies an ontology-driven harmonised data model aligned with MedDRA, WHODrug, SNOMED CT and E2B R3 to establish semantic relationships across safety signals.

Deep Extraction

Structures case patient drug condition, procedure and event information from unstructured sources, ensuring completeness at intake.

Intelligent Automation with Human Insight

MedDRA Auto Coding

Context-aware automation delivers consistent MedDRA coding from adverse event narratives, reducing variability and manual effort.

Duplicate Detection

Identifies duplicates using multi-factor matching across molecular structure, patient attributes, timelines and source attribution.

Confidence Scoring

Assigns confidence levels to every extraction and inference, allowing reviewers to focus attention where judgement matters most.

Expert-in-the-Loop Workflow Intelligence

Intelligent Routing

Automatically redistributes cases based on SLA urgency and reviewer availability, reducing bottlenecks and missed timelines.

Severity Prioritization

Surfaces the most critical cases first, aligned with regulatory timelines and medical impact.

Expert in the Loop

Automation handles extraction coding and routing while experts focus on clinical judgement and final decisions.

Trust and Compliance As A Foundation

Verify by Source

Preserves original safety artefacts with full traceability across intake processing and review, ensuring every case can be verified during audits and inspections.

Explainability

Every extraction and inference is supported with citations and rationale, enabling transparency, audit readiness, and regulatory confidence.

GVP Module VI Compliant

Ensures accessibility, integrity, and controlled collation of safety reports in alignment with EMA expectations.