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Turn 200 MSL Notes Into Strategic Intelligence

Convert unstructured KOL interaction notes into structured intelligence across scientific themes, competitive signals, advocacy gaps, and emerging unmet needs. Aggregate field signal across 50+ MSLs. Surface decision-ready insights for Medical Affairs Leadership.

Notes Processed (Q3)
2,847
across 42 MSLs · 8 indications
▲ +18% QoQ
Mean Time to Insight
3.2 min
vs 47 min manual coding
▼ 93% faster
Strategic Signals Surfaced
184
classification accuracy 94%
▲ Best-in-class
FTE Hours Recovered
312
monthly across team
▲ $48K/mo value

Note Capture & AI Tagging

Paste an MSL field note or use sample data. AI extracts scientific themes, competitive signals, advocacy gaps, unmet needs, and KOL sentiment — in seconds.

📝 Raw Note
🤖 NLP Parse
🏷️ Multi-Tag
📊 Score Strategic Relevance
✅ Validate
🎯 Route to Intelligence Hub

📝 MSL Note Input

Paste a free-text field note from your last KOL interaction, or click "Load Sample" above to populate with a realistic NSCLC engagement example.

🎯 AI-Extracted Intelligence

Awaiting input

Click "Load Sample Note" above or process your own note to see structured AI extraction across 5 intelligence dimensions.

📝 Before · Raw Note
Met w/ Dr. H at ASCO booth. Excited about ASC-301 OS data in 2L NSCLC — said HR 0.68 is "best in class" for TIGIT-class. Asked about combo data w/ pembro — wants Ph3 in 1L. Mentioned 3 patients on competitor's TIGIT had pneumonitis G3+, concerned about class effect. Asked if we'd publish biomarker analysis. He'd join advisory board. Bringing to next Yale GI tumor board.
✨ After · Structured Intelligence
🔬 Scientific Themes:
• OS efficacy in 2L NSCLC (HR 0.68)
• TIGIT-class positioning
• Combo strategy w/ pembrolizumab
• Biomarker analysis demand

⚔️ Competitive Signal:
• Competitor TIGIT pneumonitis cases (G3+ in 3 patients) — potential class-effect concern

🤝 Advocacy Gap:
• Willing to join advisory board (HIGH priority engagement)
• Bringing data to Yale GI tumor board

💡 Unmet Need:
• Phase 3 1L NSCLC combination program

😊 KOL Sentiment:
• Positive 0.78 · Confidence HIGH
⚡ AI Pipeline Output
Each note is processed against the 5-dimension extraction schema: (1) Scientific Themes — efficacy, safety, MOA, biomarker; (2) Competitive Intelligence — competitor product mentions, market events, sentiment vs your asset; (3) Advocacy Engagement — willingness to advise, speak, publish, refer patients; (4) Unmet Medical Needs — gaps, requests for new indications, off-label questions; (5) KOL Sentiment — confidence-scored disposition toward your asset.
  • Real-time NLP: NER + clinical entity recognition + custom oncology ontology (MedDRA + NCIt + custom KOL graph).
  • Confidence scoring: Each tag receives a 0-1 confidence score. Sub-threshold tags route to MSL review queue for human-in-the-loop validation.
  • Audit trail: Original note + AI tags + human edits stored with timestamps for regulatory compliance (Medical Affairs documentation standards).

Cross-Team Signal Aggregation

Roll up tagged notes across the MSL team. Identify recurring themes, escalating signals, and emerging patterns invisible at the individual-note level.

📡 Top Signals This Quarter (Q3)

Auto-Surfaced
⚔️
Competitor TIGIT pneumonitis class effect mentioned in 18 separate MSL interactions across 12 KOLs. Pattern strengthening.
First detected: Aug 14 · Confidence: HIGH
High
💡
Demand for 1L NSCLC combination data requested by 24 KOLs. Strategic gap in current evidence package.
First detected: Jul 02 · Confidence: HIGH
High
🔬
Biomarker analysis demand emerging across 14 interactions. PD-L1 + TIGIT expression correlation requested.
First detected: Aug 28 · Confidence: MED
Med
🤝
Advisory board interest surge — 8 Tier-1 KOLs offered to join post-ASCO data presentation.
First detected: Aug 22 · Confidence: HIGH
High
🔬
Elderly subgroup safety questions raised in 11 interactions. Pneumonitis rate 1.6× in >75y subgroup.
First detected: Sep 05 · Confidence: MED
Med
⚔️
Domvanalimab Phase 3 enrollment delay mentioned by 5 KOLs. Window of opportunity in 2L positioning.
First detected: Sep 10 · Confidence: MED
Med

📊 Signal Volume by Dimension

📍 Trend Detection
Scientific themes dominate volume (42% of all signals), but competitive intelligence shows fastest growth (+62% QoQ) — driven by post-ASCO competitor data releases requiring rapid field intelligence response.

🌡️ Signal Heatmap by KOL Segment × Theme

Last 90 days

Darker cells = higher mention frequency. Identifies where strategic themes are gaining traction (or being ignored).

KOL SegmentEfficacySafety/AECombo StrategyBiomarkerCompetitorAdvocacy
Tier 1 Academic (n=18) 82 64 94 71 88 102
Tier 2 Academic (n=32) 68 52 72 42 68 61
Community Oncology (n=64) 82 88 35 22 48 28
Pathway Influencers (n=12) 88 68 60 70 80 90
Emerging KOLs (n=22) 42 35 55 60 42 34
⚡ Aggregation Insight
Combo strategy dominates Tier 1 academic conversations (94 mentions) but is nearly invisible to community oncology (35 mentions). This is a messaging gap — your evidence story is resonating with thought leaders but not yet penetrating to community where prescribing actually happens.
  • Action 1: Develop community-oncologist-targeted educational materials on combination data — Tier 2 conferences and regional symposia.
  • Action 2: Activate Tier 1 KOLs as community oncology speakers (peer-to-peer credibility transfer).
  • Action 3: Track field signal monthly to measure community penetration of combo messaging.

KOL Intelligence View

Per-KOL profile aggregating all MSL interactions: scientific interests, advocacy disposition, competitive concerns, recommended next actions.

Dr. Roy Herbst
Yale Cancer Center · Tier 1 Academic
12 interactions over 90 days. Focus: combo strategy + biomarker. Sentiment +0.82. Advisory board confirmed.
😊 +0.82 12 notes Tier 1
Dr. Solange Peters
CHUV Lausanne · Tier 1 Academic
9 interactions over 90 days. Focus: safety profile in elderly. Sentiment +0.71. Steering committee chair.
😊 +0.71 9 notes Tier 1
Dr. Tony Mok
CUHK · Tier 1 Academic · APAC
8 interactions over 90 days. Focus: APAC trial expansion. Sentiment +0.78. Co-PI interest.
😊 +0.78 8 notes Tier 1
Dr. Martin Reck
Grosshansdorf · Tier 1 EU
5 interactions over 90 days. Focus: skeptical of OS extrapolation. Sentiment +0.42. Engagement gap.
😐 +0.42 5 notes At risk
Dr. Federico Cappuzzo
National Cancer Inst · Italy
7 interactions over 90 days. Focus: Italian payer landscape. Sentiment +0.68. Speaker confirmed.
😊 +0.68 7 notes Tier 1
Dr. Alexander Drilon
MSK Cancer Center · Tier 1
10 interactions over 90 days. Focus: biomarker stratification. Sentiment +0.79. Publication co-author.
😊 +0.79 10 notes Tier 1

🎯 KOL Action Recommendations (AI-Generated)

Next 30 days
KOLStatusRecommended ActionPriorityOwner
Dr. ReckSentiment declineSchedule 1:1 with Chief Medical Officer to address OS extrapolation skepticism with new RWE dataHighSarah Chen (MSL Lead EU)
Dr. HerbstAdvisory readySend advisory board invitation + biomarker preliminary data for Q4 meetingHighJames Rodriguez
Dr. MokAPAC opportunityConnect with APAC commercial lead — Co-PI interest signals expansion potentialHighPriya Sharma
Dr. PetersEngagement+Provide elderly subgroup safety pooled analysis. Steering committee Q1 updateMedSarah Chen
Dr. DrilonPublication trackManuscript co-authorship invitation for biomarker analysis (JCO target)MedMarcus Webb
Dr. CappuzzoSpeaker activeConfirm Italian regional speaker tour Q1 — 6 cities, payer-focused contentStandardJames Rodriguez

Auto-Generated Leadership Briefing

One-click executive briefing synthesizing all field intelligence into a board-ready report. Replaces weekly manual synthesis (avg 6 hours / week).

AI Generated · September 2026 Q3 Briefing · 2,847 notes synthesized · 184 strategic signals · Click sections to expand

📋 Q3 2026 Medical Affairs Field Intelligence Briefing

Executive Summary

Q3 2026 field intelligence from 2,847 MSL interactions across 42 MSLs reveals four strategic priorities for leadership attention: (1) 1L combination demand sustained at high level among Tier 1 KOLs — strategic acceleration warranted; (2) Competitor TIGIT class-effect pneumonitis emerging as defensive opportunity; (3) Elderly safety subgroup concerns require pre-emptive communication; (4) Advisory board interest surge presents engagement capacity opportunity post-ASCO data.

Strategic Priority 1: Accelerate 1L Combination Program

Signal: 24 Tier 1 KOLs requested 1L combination data over the past 90 days — sustained across all geographies (US, EU, APAC).

Implication: Current 2L positioning leaves significant whitespace and competitive risk if Domvanalimab or Vibostolimab achieves 1L approval first.

Recommendation: Submit pre-IND meeting request to FDA for Phase 3 1L combination (ASC-301 + pembrolizumab vs SoC). Allocate 12 additional clinical sites Q1 2027. Estimated incremental NPV: $1.4-2.1B.

Strategic Priority 2: Competitive Pneumonitis Defensive Narrative

Signal: 18 MSL interactions cited competitor TIGIT Grade 3+ pneumonitis cases (Roche tiragolumab, Merck vibostolimab) — KOLs proactively raising class-effect concern.

Implication: Competitive vulnerability creates positioning opportunity if our safety profile holds favorably (ASC-301 G3+ pneumonitis 3% vs competitor 7-9%).

Recommendation: Develop comparative safety analysis (pooled trial data + RWE confirmation). Brief Tier 1 KOLs at upcoming WCLC. Update MSL talking points with comparative AE profile.

Strategic Priority 3: Pre-emptive Elderly Safety Communication

Signal: 11 MSL interactions raised concerns about elderly (>75y) pneumonitis rates after ASCO presentation of subgroup data showing 1.6× rate.

Implication: Without proactive communication, this could become a label restriction risk during FDA review.

Recommendation: Issue Dear Healthcare Provider letter with elderly-specific monitoring protocol. Update Medical Information response letters. Plan elderly subgroup symposium at ESMO 2027.

Strategic Priority 4: Advisory Board Capacity Expansion

Signal: 8 Tier 1 KOLs offered to join advisory board post-ASCO. Current capacity 12 seats; current roster 11 — capacity gap.

Implication: Decline-by-default would damage relationships with high-value KOLs at peak engagement moment.

Recommendation: Expand advisory board to 16 seats. Create regional sub-boards (US, EU, APAC) for tier 1 KOL roles. Activate 3 candidates immediately, 2 in Q1 2027, 3 in Q2 2027.

⚡ Workflow Impact
This briefing was generated automatically from 2,847 underlying MSL notes. Manual synthesis of equivalent intelligence requires:
  • Before MSL Insight Pipeline: 2 Medical Affairs analysts × 40 hours = 80 hours per quarter × $85/hr = $6,800 per briefing
  • With MSL Insight Pipeline: 1 Medical Affairs lead × 2 hours review = 2 hours per quarter × $120/hr = $240 per briefing
  • ROI: 96% time reduction · $6,560 cost savings per briefing · 26 hours of high-value analyst time redirected to strategic projects
Action completed