Aurinia replaced manual adverse event intake with Qinecsa's Reportum after launching LUPKYNIS.
Aurinia needed modern pharmacovigilance infrastructure as serious adverse event volumes were expected to rise. It implemented Reportum in June 2021 for multi-channel intake from consumers, clinicians and specialty pharmacies. The page reports up to 70% less safety team workload, no manual reconciliation or database entry, and a strong return on investment.
Qinecsa is a pharmacovigilance technology and services company, used by pharma to automate adverse event intake and run signal detection and safety operations
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Qinecsa on its own site — read the original case study on qinecsa.com ↗
Related use cases
- 01A top-5 pharma cut manual case processing by 60% with Reportum after a therapy launch.
- 02A Japanese healthcare group automated multilingual adverse event intake with Reportum.
- 03A top-10 pharma cut manual case handling by up to 80% with Reportum across 110 countries.
- 04A top-10 pharma unified safety signal detection across three business units on Qinecsa Vigilance Workbench.
- 05A pharma fixed pharmacovigilance gaps after critical EMA findings by moving to a new validated safety database.
- 06Transforming Content Operations for 2x Faster Time to Market