Elevate Your Clinical Research Data Collection

Identify & engage healthcare professionals (HCP) treating eligible patients—in near real-time

Timely physician engagement is critical to therapy adoption. Quest Diagnostics combines near real-time lab data with other data sources including EHR, claims and prescription data to help pharmaceutical teams identify and connect with physicians managing eligible patients at key decision time point in the patient journey.

In today’s competitive pharmaceutical landscape, ensuring that physicians receive timely, relevant information about new therapies is essential. Quest’s unique combination of industry-leading deidentified lab data, enhanced with claims, prescription (Rx), and EHR insights, allows pharma teams to refine targeting, optimize engagement, and drive better patient outcomes.

Avance Clinical’s data management team has gained a world-class reputation for accuracy, precision, and quality of their biostatistics and pharmacokinetic (PK) analysis.

Enables secure real-time document review, co-authoring, and redaction in order to shorten the document review process by up to 65%.

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.

Experience higher data quality, retention and participant compliance by providing a truly engaging experience from data submission to reminders, appointment management, telemedicine and more -- from the phone, tablet, or desktop.

Ergomed’s Risk-Based Clinical Monitoring and Source Data Verification Approach for Data Integrity

Ergomed ensures the highest data integrity and patient safety standards through our risk-based clinical monitoring and Source Data Verification (SDV) practices. SDV is a critical process in clinical trials that ensures the data collected are accurate, complete, and verifiable against the source documents. We compare data entered into case report forms or electronic data capture systems with the source data to confirm their accuracy and reliability.

A centralized command center for patient randomization and drug supply management—built for today’s complex clinical trials.