When case processing becomes slow, expensive or hard to scale, the safety database often gets the blame. Replacing it can feel like the obvious fix. But a database migration is one of the biggest projects a safety organisation can take on: data must be migrated and reconciled, the new system validated, interfaces rebuilt, people retrained and submissions kept running throughout.
Before you go down that road, it is worth asking a different question. Is the problem the database, or the work that happens around it?
Where the manual effort actually sits
A safety database is a system of record. It stores cases, applies its business rules, and produces regulatory output in the ICH E2B (R3) format. What it typically does not do is read an email, interpret a scanned form, decide whether a report is valid, spot a likely duplicate or propose the right MedDRA term. That work happens before the case reaches the database, and much of it is done by hand.
The CIOMS Working Group XIV report on AI in pharmacovigilance (December 2025) lists where AI is already being applied in case processing: duplicate detection, coding of adverse events and products, extraction of information from narratives, and triage of incoming reports for human review. Almost all of these sit around the database, not inside it.
Replace or augment?
| Question | Replacing the database | Adding intelligence around it |
|---|---|---|
| What changes | System of record, interfaces, reports, processes | Intake, preparation and checks; the database stays |
| Data migration | Full migration and reconciliation of historical cases | None |
| Validation scope | The whole new system | The new components and their interfaces |
| Disruption to submissions | Cut-over has to be planned around live reporting | Can run alongside the current process first |
| Where the benefit lands | Depends on whether the new database removes the manual work | Directly on the manual steps |
| How you can start | Usually all at once | One process or one source at a time |
When replacement really is the answer
Sometimes it is. If your database is out of support, cannot produce the regulatory formats you need, cannot meet your security or data residency requirements, or is the source of persistent data-quality problems, replacing it may be right. Even then, the work around the database still has to be solved, so it pays to understand it first.
How augmentation works in practice
- Intake. Reports arrive from email, portals, partners and literature, in any format. They are read, classified and checked for the four minimum criteria and for duplicates.
- Preparation. Case data is extracted and structured, each value linked to its source, and coding is suggested using your conventions.
- Hand-over. The prepared case enters your existing safety database through its standard interfaces, for review and processing as today.
- Checks after entry. Quality checks, deadline tracking, submission status and partner reconciliation run alongside.
Your reviewers keep working in the system they know, your validated database stays validated, and the manual effort moves out of the process.
A phased path
Because augmentation leaves the database in place, it can start small and grow, with each phase validated and measured before the next.
Each phase runs alongside the current process at first, so the team can compare results on the same cases before switching over. If a phase does not deliver against its baseline, you have learned that cheaply, without touching your system of record.
What to measure
- Data-entry time per case before and after preparation is automated.
- Time from receipt to case creation, which protects the regulatory clock.
- Duplicate cases found after entry, which should fall as checks move upstream.
- QC findings per 100 cases, to confirm that speed has not cost quality.
Questions to ask before you decide
- Which steps take the most time today, and how many of them happen inside the database?
- What would a migration cost in time, validation effort and risk to submissions?
- Could intelligence be added to the steps around the database first, and measured?
- Does your database have the interfaces needed to accept prepared cases?