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Dashboard / Rework / MedDRA Lookup Loop
Opportunity Surfaced
Medium Impact Integration

MedDRA Lookup Loop

Opportunity Lifecycle

1
Surfaced
2
Accepted
3
Remediating
4
Remediated
Status persists in your browser. In production, these actions notify team members, trigger workflows, and begin value-realization monitoring.

★ Savings Opportunity

Assumes $75/hr fully loaded cost. Pilot: 19 days. See methodology.
Pilot Period (19d)
0 hrs
Annual (17 users)
2 hrs
$112
Projected (1,000 users)
88 hrs
$6,615
Risk-Adjusted (17 users, annual)
1 hrs
0.84× composite · see breakdown ↓

Description & Data Evidence

Users leave Veeva Safety to look up MedDRA codes in external tools (MEDDRABROWSERWIN, tools.meddra.org), then return. 28 round-trips detected across 16 cases, with avg 0.0s per MedDRA lookup. Integrating MedDRA search within Veeva would eliminate these context switches.

Self-Evaluation Scores

The platform grades each finding on four dimensions (1–5 scale). Low scores flag findings that need more data or clearer remediation before acceptance.

Overall 4/5
Actionability 4/5
Specificity 3/5
Remediation Alignment 4/5

Key Findings

  • 28 Veeva->MedDRA->Veeva round-trips across 16 cases
  • Avg MedDRA lookup dwell: 0.0s (median 0.0s)
  • 0.0 hours spent in MedDRA tools during pilot
  • 4 users affected

Case Evidence

Specific case IDs pulled from the pilot data where this pattern is most pronounced. In production, clicking a case opens its full event timeline.

Case ID Signal Context
2353948 208 events MedDRA lookups with Veeva activity
2349955 180 events MedDRA lookups with Veeva activity
2317182 180 events MedDRA lookups with Veeva activity
2355714 170 events MedDRA lookups with Veeva activity
2326107 161 events MedDRA lookups with Veeva activity

Validation Questions

0 of 3 answered
Before accepting this opportunity, work through the questions below with the relevant subject-matter experts. Your answers lock in the acceptance criteria and — when you toggle Share with Pyze — inform how our agents surface similar patterns in the future.
1
What information or action is users looking for in the second app that isn't available in the primary workflow?
Identifies the minimum integration needed to collapse the loop.
2
Is this cross-app switching driven by a functional gap, a validation requirement, or user preference?
Root cause determines whether to fix with integration, training, or UX.
3
Which user roles perform this loop most often — is it concentrated in a specific team?
Helps target the pilot rollout and measure impact more cleanly.

Remediation Ideas

  • Embed MedDRA search/autocomplete directly within Veeva Safety forms
  • AI-assisted MedDRA coding suggestions based on narrative text
  • Cache frequently used MedDRA terms per therapeutic area
  • Inline MedDRA hierarchy browser in adverse event entry screens

Implementation Roadmap

Effort
Medium
Timeline
8-14 weeks
Primary Owner
Engineering (Integration)
Dependencies
  • Target system API access
  • Integration architecture review
  • Cross-team validation

How Risk-Adjusted Savings Is Calculated

The risk-adjusted number is the annual savings multiplied by a composite factor of four independent dimensions. Each dimension is rated High (1.0×), Medium (0.8×), or Low (0.5×). See full methodology.

Detection 40% weight
Medium
Confidence the agent-detected pattern is real
Feasibility 25% weight
Medium
Ease of building the remediation
Adoption 20% weight
High
Likelihood users change workflow
Compliance 15% weight
Medium
Simplicity of PV validation path
1 hrs × 0.84 = 1 hrs / year
At 1,000 users: 74 hrs / year · $0.0M