Your strategy should be too.
Stop settling for generic KOL lists. Build strategy specific to your workflows — by specialty, disease, treatment volume, geography, trial involvement, and engagement history.
Active Filters
Trusted by Medical Affairs leadership to power strategic KOL engagement and field-level decision making across therapeutic areas.
KOL Profiles Indexed
Therapeutic Areas
Data Latency
Publications Analyzed
Customizable Intelligence
Every MSL workflow is different. Build queries that match yours — filter by specialty, disease, treatment patterns, geography, trial involvement, and engagement history. Every search becomes a living resource your team can revisit, refine, and build on.
The generic approach
With Bionara Atlas
“All non-specialist PCP gout treaters with >100 colchicine claims in the Southeast”
“Researchers publishing on IL-1 inhibitors with active Phase III clinical trials”
“High-volume endocrinologists prescribing GLP-1s with no prior MSL engagement”
How it Works
Define a therapeutic area. Our data pipelines and AI engine automatically score, rank, and tier every relevant provider in the country — you just focus on engagement.
Configure
Define your therapeutic area, target criteria, and tiering thresholds. Point-and-click setup — no engineering required.
Score
AI-powered pipelines aggregate multiple data signals, normalize across specialties, and compute composite relevance scores automatically.
Classify & Tier
Intelligent classification identifies the right providers and ranks them within each specialty — giving you actionable, tiered results.
Community Treater Scoring
Multi-signal scoring across prescribing patterns and treatment volume, normalized per specialty with intelligent tiering.
Claims-based
Academic KOL Ranking
Rank researchers by publication relevance, citation impact, and authorship position across the scientific literature.
Publication-based
Provider Classification
Automatically classifies providers as high, medium, or emerging treaters based on multi-dimensional activity signals.
Configurable
Community Treater Scoring
Multi-signal scoring across prescribing patterns and treatment volume, normalized per specialty with intelligent tiering.
Claims-based
Academic KOL Ranking
Rank researchers by publication relevance, citation impact, and authorship position across the scientific literature.
Publication-based
Provider Classification
Automatically classifies providers as high, medium, or emerging treaters based on multi-dimensional activity signals.
Configurable
Provider Taxonomy
From community prescribers to academic thought leaders — scored and tiered using the data sources that matter for each type.
High-prescribing community physicians scored across multiple data signals, classified by specialty with configurable relevance weights.
Publication-driven ranking scored by relevance, citation impact, recency, and authorship — surfacing the researchers who matter most in your therapeutic area.
Identified from clinical trial registries — principal and sub-investigators mapped by therapeutic area, phase, and enrollment footprint.
Organized into disease-specific specialty groups — rheumatology, endocrinology, cardiology, and more — with intelligent filtering and matching.
PCPs identified through prescribing patterns and treatment activity, tiered by volume and therapeutic area engagement within their practice.
Identified through industry engagement, advisory board participation, and high-impact publication records across therapeutic areas.
Join MSL teams using Bionara to build strategy specific to their workflows — powered by intelligent data pipelines, AI-driven scoring, and adaptive tools that evolve with you.