Use patient-level race and ethnicity (R&E) insights for 200 million patients to increase trial diversity by up to 50%. Leverage patient R&E data when selecting PIs and trial sites, and model inclusion/exclusion criteria to assess patient-recruitment impact.
See patient journeys in granular detail with 2x more unique patients and 6x more claims per patient than legacy sources. Understand the journey to diagnosis and treatment pathways, then model custom patient cohorts to assess the impact of study criteria and protocol design.
Surface PIs actively treating screening-eligible patients in both academic and community settings, and view their clinical trial experience and current trial load. Select trial sites by defining disease burden at the ZIP3 level, reducing site deactivations by up to 50%.
Use AI-driven clinical alerts to reach HCPs before treatment decisions are made. Configure alerts with auto-mapping to find patients near existing trial sites, and leverage patient-journey insights that will drive effective messaging/HCP engagement.
Link trial data to RWD sources to maximize insights and efficiencies. Gain an understanding of patient outliers, create external control arms, conduct subpopulation analysis, and monitor outcomes following study completion to inform and accelerate future studies.
Komodo’s technology and real-time data help thread the needle on everything from clinical sites and physician engagement to patients with relevant diagnoses.
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