Streamline clinical trial data capture through eSource workflows that support both Direct Data Capture and automated EHR-to-EDC data transfer across Paradigm Health’s research-ready provider network.

Research teams can capture study data within the EHR or through a standalone application, enabling consistent workflows across sites while reducing manual transcription. Sponsors gain faster access to cleaner trial data with fewer queries and more efficient monitoring.

Optimize clinical trial protocols by aligning scientific goals with real-world site operations. Improve enrollment, reduce site burden, and minimize costly amendments through data-driven design.

Streamline clinical trials by automating data transfer from EHRs to EDCs. Reduce site burden, minimize manual entry errors, and accelerate timelines to get critical insights faster.

Streamline post-approval research by embedding studies into routine clinical care. Reduce site burden and capture high-quality data for label expansion and regulatory needs.

Bridge the gap between raw data and clinical enrollment. Use AI-driven insights and natural language summaries to identify the right patients faster and with greater transparency.

Modernize clinical trials with AI-powered recruitment and automated EHR data capture to accelerate enrollment, improve data quality, and expand patient access across a global research network.

Automate data collection, maximize resource utilization, and increase trial capacity.

Discover how data automation and integrated screening help community cancer centers offer clinical research as a standard care option, ensuring all patients have access to the latest treatments.

Modernizing data workflows removes geographic barriers to clinical trials, ensuring rural patients access innovative care while reducing administrative burdens on dedicated research staff.