PHARMACEUTICAL

Pharmaceutical Medical Affairs & KOL Mapping

Turn MSL field notes and advisory boards into compliant, cited KOL intelligence.

Medical affairs teams at pharmaceutical companies collect vast amounts of unstructured data from physician advisory boards, medical science liaison field notes, and conference transcripts. By uploading these documents, teams can track the exact clinical concerns Key Opinion Leaders have regarding new therapies. The platform analyzes MSL notes to uncover hidden adoption friction points, cross-tabulating physician specialties with specific clinical questions.

This allows pharma companies to strategically adapt their medical education materials, addressing off-label concerns and dosage confusion with deterministic accuracy. Instead of relying on anecdotal field reports, medical directors can generate citation-backed, hallucination-free reports to align their R&D and commercialization strategies safely within regulatory bounds.

KOL Concern Citations
1 38% of "cardiology" KOLs raised "titration hesitation"
2 31% of "MSL notes" flagged "side-effect management"
3 27% of "advisory boards" cited "off-label pressure"
4 24% of "oncology" KOLs asked about "dosage confusion"
5 19% of "field reports" noted "access barriers"
6 15% of "concerns" tied to "trial eligibility"
7 9% of "questions" clustered on "reimbursement"

AI Topic Mapping

Use Steeped AI's AI topic mapping to uncover nuanced clinical concerns like titration hesitation or side-effect management that standard keyword searches miss in MSL notes. Every field observation becomes a measurable concept, so medical education targets the friction physicians actually raise.

titration hesitationside-effect mgmtoff-label concern

Document Digitization

Use Steeped AI's document digitization to pull scanned advisory board decks, conference posters, and handwritten field notes into one structured, searchable layer. Insight stranded in slides and PDFs becomes analyzable, so specialty and concern analysis sees the entire evidence base.

SCANNED DECKSTRUCTURED FIELDSSpecialty: cardioConcern: titrationSetting: advisoryCited: yes

AI Audio Transcription

Transcribe hours of recorded advisory board meetings into clean text with Steeped AI's audio transcription, stripping crosstalk to capture exact physician feedback. The nuance spoken in the room becomes searchable, quantifiable data instead of a recording no one revisits.

advisory_board_12.wav transcribed · crosstalk removed

Relational Metrics

Relational Metrics instantly cross-tabulates physician specialties with specific clinical concerns, no manual pivot tables required, showing exactly which specialists need targeted education. A medical director sees at a glance that cardiology drives titration questions while oncology raises dosage confusion.

Expand
Specialty × Concern
Cardiology → Titration
38%
Oncology → Dosage
31%
Primary → Access
24%
Neuro → Eligibility
17%
Base Column
specialty ▾
Value Column
concern ▾
38%ofCardiology=Titration
predictive power
84%
KOL count
114
note count
300
see examples

The insights are already in your data.

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