Case Studies / Asynchronous digital advisory board for ultra-rare lyso…
Medical Affairs KOL & Expert Engagement Rare Disease

Asynchronous digital advisory board for ultra-rare lysosomal storage disorder: platform-based KOL collaboration

Challenge
Fewer than 20 specialist physicians globally managed this ultra-rare condition — and their schedules made live advisory board meetings nearly impossible to coordinate.
Approach
Designed an asynchronous digital advisory board using a structured online platform — allowing experts to contribute on their own schedule over a defined 3-week engagement window.
Result
Broad expert alignment achieved without a single live meeting, at 40% lower cost than a conventional advisory board format.
The challenge

Ultra-rare disease expertise is globally scattered — and live meetings are not always possible

For ultra-rare lysosomal storage disorders, the world's leading clinicians are not concentrated in one country or one institution. Fewer than 20 specialist physicians globally had meaningful clinical experience with this specific condition,.

The brand needed to convene these experts to align on patient identification criteria, treatment initiation thresholds, and monitoring protocols. A conventional advisory board — two days in a European city — was not practical. Scheduling conflicts, travel obligations, and the sheer geographical distribution of the group made simultaneous attendance impossible.

At the same time, the scientific questions were too complex for a simple online survey. The client needed genuine expert dialogue, structured around specific clinical scenarios — and needed it documented in a format that could be used in future guideline submissions.

Rare disease expertise does not cluster in convenient time zones. The format had to come to the experts — not the other way around.

Our approach

What we did

1
Expert identification and onboarding
Identified 14 eligible experts across 11 countries using publication analysis, conference speaker records, and affiliate medical director nominations. Conducted individual pre-engagement calls to confirm interest and set expectations.
2
Platform selection and configuration
Selected a purpose-built asynchronous advisory platform. Configured discussion modules around 5 clinical topics: patient identification, diagnostic workup, treatment initiation, monitoring, and transition of care.
3
Stimulus material development
Prepared structured clinical case vignettes and scientific summaries for each discussion topic. Designed to elicit clinically meaningful responses rather than free-text opinion.
4
Moderated discussion and follow-up
Monitored platform engagement over a 21-day window. Sent targeted follow-up prompts to experts who had not addressed specific questions. Medically reviewed all responses to identify areas of alignment and divergence.
5
Consensus documentation
Synthesised the discussion into a clinical consensus document, reviewed by all 14 participants and approved by 12. Prepared a peer-reviewed publication outline from the consensus findings.
Result

Measurable impact

The advisory board ran over 21 days, with 14 out of 14 invited experts contributing substantively to all 5 discussion modules. Consensus was reached on patient identification criteria and treatment initiation thresholds. The consensus document was subsequently submitted as a short communication to a specialist journal. Total cost was approximately 40% lower than a comparable live advisory board format, and participant feedback was positive overall.

14/14
Invited experts contributed across all 5 discussion modules
21 days
Complete advisory board cycle — asynchronous, no live sessions
~40%
Cost reduction vs equivalent live advisory board format
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Evidence Scanner · Research module
// Query: ribociclib OS data MONALEESA 2023–24
search("ribociclib overall survival", {
  years: [2023, 2024],
  output: "structured_table"
})
// 847 records → 23 relevant
Processing 847 records...
Evidence Summary
MONALEESA-2 updated OS (NEJM 2023): median OS 63.9 mo vs 51.4 mo (HR 0.76, 95% CI 0.63–0.93). Benefit maintained across all pre-specified subgroups...