ZynoviqPharmacovigilance: AI in drug safety needs professional checking.
Drug-safety teams process adverse-event reports under international standards: deciding validity, coding events and products, assessing seriousness and expectedness, and meeting reporting timelines. AI is increasingly used for intake and coding. India already hosts a large share of the world's pharmacovigilance work, and the professionals who do it.
What we plan to cover
| Area | Example judgment |
|---|---|
| Case validity | Does the report meet the minimum criteria for a valid case? |
| Event and product coding | Correct standard terms for events and products |
| Seriousness | Does the event meet seriousness criteria? |
| Expectedness | Is the event listed in the reference safety information? |
| Reporting timelines | Which deadline applies |
Boundaries
We assess documented case processing against established standards and protocol — never clinical diagnosis or causality opinions beyond the standards. All cases are synthetic; no real patient data. What we do and don't test.
Professionals
Drug-safety physicians, pharmacists and case-processing specialists (recruited, with partner organisations, as the domain opens).
Drug-safety AI testing — FAQ
What drug-safety tasks would be tested?+
Case validity, event and product coding, seriousness, expectedness and reporting timelines.
Would you assess clinical causality or diagnosis?+
No. Only documented case processing against established standards.
Would real patient data be used?+
Never. All cases would be synthetic.