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Pharmacovigilance Specialist

Process expedited safety reports (15-day/7-day)

Enhances✓ Available Now

What You Do Today

Identify cases meeting expedited criteria (fatal, life-threatening, unexpected serious), prepare MedWatch/CIOMS forms, submit to FDA/EMA within timelines

AI That Applies

AI triages incoming cases for expedited criteria, auto-populates regulatory forms, and tracks submission deadlines across global agencies

Technologies

How It Works

The system ingests submission deadlines across global agencies as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a structured view that highlights exceptions, trends, and items requiring attention — available in the existing tools without switching systems.

What Changes

Expedited case identification is immediate; AI pre-fills forms and you review rather than draft from scratch

What Stays

You verify the case meets criteria, confirm the narrative accurately reflects the clinical event, and authorize submission

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for process expedited safety reports (15-day/7-day), understand your current state.

Map your current process: Document how process expedited safety reports (15-day/7-day) works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: You verify the case meets criteria, confirm the narrative accurately reflects the clinical event, and authorize submission. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support IQVIA Argus tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long process expedited safety reports (15-day/7-day) takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Operations or COO

How would we know if AI actually improved process expedited safety reports (15-day/7-day) — what would we measure before and after?

They're prioritizing which operational processes to automate

your process improvement or lean lead

If we automated the routine parts of process expedited safety reports (15-day/7-day), what would the team do with the freed-up time?

They understand the workflow dependencies that AI tools need to respect

a frontline supervisor

What would have to be true about our data quality for AI to work reliably in process expedited safety reports (15-day/7-day)?

They see the daily reality that AI tools need to fit into

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.