A Japanese healthcare group automated multilingual adverse event intake with Reportum.
Cases arrived by country mailboxes in many formats and languages, needing heavy manual entry and translation. Qinecsa deployed Reportum with automated ingestion of English and Japanese forms (120+ data fields), redaction and translation workflow, and E2B(R3) export to the safety database. The page reports up to 70% ROI and up to 70% less safety team workload.
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
- 01Aurinia replaced manual adverse event intake with Qinecsa's Reportum after launching LUPKYNIS.
- 02A top-5 pharma cut manual case processing by 60% with Reportum after a therapy launch.
- 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