Clinical Trial Analytics

Inovalon's Clinical Trial Analytics is a data-driven solution designed for life sciences organizations seeking to improve the planning, diversity, and performance of clinical trials. By combining primary source real-world data with deep clinical trial analytics expertise, the platform supports every stage of a trial — from initial feasibility and site selection through patient recruitment and follow-up.

Built on a dataset encompassing over 456 million unique lives, 97 billion medical events, more than 1.1 million physicians, and over 724,000 clinical facilities, Clinical Analytics provides the scale and depth needed to design more efficient and inclusive studies that address the needs of today's diverse patient populations.

Core Capabilities

• Find Patient Hotspots: Identify geographic areas across the U.S. with the highest concentrations of eligible patients to determine optimal trial site locations.
• Locate Investigators: Uncover new potential investigators and trial sites that have access to relevant patient pools, expanding the network of qualified research partners.
• Guide Clinical Planning: Leverage local demographic data and social drivers of health (SDOH) information to inform clinical operations and study design decisions.

Key Benefits

• Enhance Site Selection: Locate ideal trial sites faster and more efficiently, reducing the time and resources spent on feasibility assessments.
• Design Smarter Trials: Quickly model and refine study designs using flexible, data-driven insights that reflect real-world treatment patterns and patient characteristics.
• Achieve Diversity Goals: Utilize detailed geographic mapping and race/ethnicity data to meet clinical trial diversity requirements and ensure therapies address the needs of diverse populations.

How It Works

1. Apply primary source real-world data to identify eligible patient regions and assess trial feasibility across the U.S.
2. Use SDOH and local demographic data to understand social factors that may affect trial participation and success.
3. Model and refine study designs with flexible analytics tools tailored to specific clinical needs.
4. Develop targeted recruitment strategies informed by patient hotspot mapping and investigator identification.
5. Monitor and support trial performance through planning, recruitment, and follow-up stages with continuous data-driven insights.

Related Solutions and Integrations

• Real-World Data: Primary source, deidentified data to power decisions across the product development lifecycle.
• SDOH Market Insights: Analytics focused on social drivers of health to improve patient access to therapies.
• HEOR: Health economics and outcomes research powered by primary source healthcare data.
• Clinical Research Patient Finder: AI-powered, EMR-integrated software for recruiting eligible, diverse patients faster.
• Clinical Trial Eligibility Screener: Confirms patient eligibility using longitudinal health data and clinical trial guidelines.
• Commercial Analytics: Real-world data and analytics to support market access and customer engagement.

Inovalon's Clinical Analytics solutions are positioned as an end-to-end partner for clinical trial teams, combining a comprehensive data asset with analytical expertise to support study feasibility, diversity compliance, and operational efficiency across the full trial lifecycle.