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vGenixOS / Pharmacovigilance Intelligence

vGenixOS · Custom intelligence layer

The safety science behind every decision

Pharmacovigilance Intelligence gives vGenixOS the medical and safety knowledge an experienced safety professional brings to every case: dictionaries, concepts, clinical context and your own conventions.

01 / 06
Medical terminology

MedDRA coding

Every reported event is coded from the reporter’s own words to the right MedDRA term, with the full hierarchy shown so reviewers can see exactly where it sits.

  • Verbatim text mapped to the lowest level term and preferred term
  • Your coding conventions, synonym lists and house rules applied
  • Confidence and alternative terms shown for review
  • MedDRA version upgrades handled under change control
02 / 06
Product terminology

WHO Drug coding

Suspect and concomitant products are coded to WHO Drug, including local trade names, strengths and formulations, so every product is recognised however it was reported.

  • Trade names, generics and local brands resolved to the right entry
  • Active ingredients and ATC classification attached
  • Strength, form and route captured with the product
  • Unrecognised products flagged instead of guessed
03 / 06
Seriousness, expectedness, causality

Safety assessments

Seriousness, expectedness and causality are assessed the way your SOPs define them, and every assessment shows the rule and evidence behind it.

  • Seriousness against ICH E2A criteria and your SOP definitions
  • Expectedness checked against the current reference safety information
  • Reporter causality captured; company causality left to your experts
  • Every assessment links to the rule and source text it used
04 / 06
Reading the whole case

Clinical context

An event means different things in different patients. Medical history, concomitant medicines, indication and population are read together, so nothing important is assessed in isolation.

  • Medical history and risk factors captured and coded
  • Concomitant medicines checked for alternative explanations
  • Special populations flagged: children, pregnancy, older adults
  • Context passed to reviewers alongside the assessment
05 / 06
Reference safety information

Your products

Each product’s reference safety information is held as structured knowledge, version-controlled, so expectedness is always assessed against the version in force on the right date.

  • Listed events held for every product and formulation
  • Versions tracked with effective dates
  • Expectedness checked against the version in force
  • Updates applied under change control with full history
How it works

Neural understanding, symbolic checks

Like every part of vGenixOS, Pharmacovigilance Intelligence pairs AI that understands with rules that verify, so every result can be explained.

STEP 1

Understand

Neural AI reads the clinical text the way an expert would

STEP 2

Map

Terms mapped to MedDRA, WHO Drug and your products

STEP 3

Check

Symbolic rules apply your SOP criteria

STEP 4

Explain

Every result shown with its reasoning and confidence

Where it works

Powering every module

One intelligence, shared by all five modules through Collective Intelligence.

Capture

Case processing

Codes events and products, and assesses seriousness and expectedness

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Scan

Literature monitoring

Judges relevance and reportability of each article

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Detect

Signal management

Groups related medical concepts so signals are not split across terms

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Compose

Aggregate reports

Keeps terminology consistent across every section

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Transmit

Regulatory submission

Ensures coded data is complete and correct before it leaves

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Intelligence as a Service

Use it on its own

Pharmacovigilance Intelligence is also available through secure APIs, inside the systems you already run.

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Governed

Under your control

Coding conventions and SOP criteria are configured with your team, validated before go-live, and changed only under change control.

Next step

Intelligent safety should be one connected operation

Automate the work. Keep the decisions with your experts. Keep the evidence traceable. See it on your own data in six weeks.

Recommended

6-week pilot on literature monitoring

  • Baselines agreed up front
  • Configured to your SOPs
  • Measured on your own data
  • Validation evidence from day one
Start your pilot