Komodo Health

Filter Healthcare Map for specific symptom clusters.

Apply machine learning models in Sentinel to identify high-probability patients.

Map the specific providers treating these patients.

Deploy field teams to provide educational resources to those identified providers.

Define trial inclusion/exclusion criteria in Prism.

Analyze geographic heatmaps of patient density.

Identify investigators currently treating the target population.

Select sites with the highest historical throughput of similar patients.

Extract longitudinal outcomes for patients on current standards of care.

Compare total cost of care and hospital readmission rates.

Generate Real-World Evidence (RWE) reports for payer dossiers.

Present data-driven cost-benefit analysis to health plan administrators.

Use Aperture to filter specialists by specific procedure volume.

Analyze referral networks to see which doctors influence community practice.

Rank KOLs based on clinical volume and clinical trial participation.

Tailor outreach based on the KOL's specific patient demographics.

Set up Pulse alerts for new prescriptions of the product.

Monitor competitor switches vs. new starts.

Identify geographic regions with lagging adoption.

Adjust sales and marketing resources dynamically based on weekly data updates.

Create a matched cohort of patients using propensity score matching.

Track 3-year outcomes including secondary diagnoses.

Analyze drug adherence patterns across different demographic groups.

Publish peer-reviewed RWE studies based on Komodo data.

Aggregate pharmacy claims data across the Healthcare Map.

Correlate pharmacy spend with a reduction in expensive ER visits.

Provide quantified 'avoided cost' metrics to PBMs.

Finalize rebate agreements based on proven real-world outcomes.