Does your team spend weeks processing medical reports to detect adverse drug reactions?
Pharmaceutical laboratories and biotech companies face an overwhelming volume of clinical data, emails, and physician notes. Identifying Adverse Drug Reactions (ADRs) manually not only drains thousands of hours from qualified scientists, but also jeopardizes regulatory compliance. Delaying a safety report to the EMA or FDA results in multi-million dollar fines and the potential suspension of critical clinical trials.
The trap of OCR templates and regular expressions
Traditional software based on static rules or templates fails miserably when analyzing natural medical language, which is full of nuances, abbreviations, and complex hospital jargon. A subtle symptom buried in a handwritten note or an informal email can go unnoticed, breaking the traceability required by regulatory agencies. Delegating clinical safety to basic predictive systems is a financial and legal Russian roulette.
Our solution: Advanced AI Pharmacovigilance Agent
At LANZA ESTUDIO, we develop and integrate an AI Agent expert in medical terminology (MedDRA) that continuously and securely monitors, analyzes, and processes scientific information workflows.
- Multichannel medical extraction: Synchronously analyzes clinical histories, trial forms, and emails from medical staff.
- Standard MedDRA coding: Automatically maps detected symptoms to the official codes required by health authorities.
- Regulatory report generation: Drafts E2B R3 compliance files ready for human validation in a matter of minutes.
- On-Premise privacy guarantee: Local processing that shields industrial secrets and patient data in full compliance with HIPAA and GDPR.
The Real Impact on Biotechnology Operations
- 85% reduction in triage time: Scientists eliminate manual screening of thousands of routine pages and focus on validating complex cases.
- Zero late-filing fines: The agent guarantees instantaneous processing to submit notifications well within the 15-day statutory window.
- Clinical trial scalability: Enables managing multiple simultaneous international studies without increasing technical staff costs.