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.

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.

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.

The ISPOR Education Center provides instant access to Health Economics and Outcomes Research (HEOR) education with on-demand programs delivered through a personalized, powerful, and flexible learning platform. Working at their own time and pace, individuals can drive their professional development by growing their knowledge and skills with topical, relevant, and innovative course curricula.

Early Phase Experts

As a full-service contract research organization, Southern Star Research has the knowledge, industry relationships and technical expertise to get your early-phase clinical trial up and running safely and efficiently.

With a broad range of experience delivering Phase 1 Healthy Volunteer, First in Human, First in Patient and Phase 2 trials, we know just how important it is for your asset to succeed in the early development lifecycle. Our experienced team will help you obtain high-quality data that will appeal to future investors, meet the requirements of international regulatory bodies such as the FDA, EMA, PMDA, and Health Canada, and prepare your product for larger Phase 3 and 4 studies, partnerships, licensing, and sale.

Whatever your clinical trial needs, we can provide a flexible, bespoke solution that will not only meet your regulatory requirements but also position your product for commercial success.

More than just an electronic data collection tool, our robust clinical data management system combines an intuitive user interface, seamless online and offline data capture capabilities, and comprehensive data management for clinical trials in a single solution.

Bioforum’s Clinical Data Management team is fully committed to providing high-quality and reliable services using the industry’s leading technology designed for quality data capture.

What can 22,000 people with an AI-mindset accomplish?

Speed without shortcuts

AI in clinical development at Parexel enables our teams to surface predictive insights at every stage, reducing protocol risk, study delays, and costly trial amendments.

Parexel's approach to AI in clinical development is built on the Precision Pathway, a strategic operating model that embeds AI across the full trial lifecycle. AI empowers our teams at critical decision points to:

1. Simplify complex tasks to accelerate timelines: AI capabilities are delivering up to 50% cycle time reductions in IND submission generation.
2. Apply insights with agility to enable better decision-making
3. Enhance data handling to drive first-time quality through content generation and workflow automation