CENTRAL LABORATORIES WHITE PAPERS & ARTICLES

CENTRAL LABORATORIES APPLICATIONS & STUDIES

CENTRAL LABORATORIES PRODUCTS & SERVICES

Accelerate Medical Writing Without Compromising Accuracy or Compliance

In the fast-paced world of clinical research, the ability to produce, review, and finalize high-quality documents—on time and with full regulatory compliance—is non-negotiable. Ideagen Document Review (formerly known as PleaseReview) is the trusted collaboration and co-authoring platform that enables clinical teams to streamline document reviews, reduce version chaos, and ensure traceable, auditable feedback across the board.

Signals Clinical streamlines clinical data workflows, reducing the time spent preparing data for analytics. Its comprehensive platform enables the rapid delivery of clinical insights that inform both clinical and operational study decisions.

Gain confidence in your clinical research data with direct data capture (DDC).

Discover how a team of biostatistics and pharmacokinetics experts can offer specialized guidance for clinical trial design and analysis.

In clinical research, data are everything. At inSeption Group, we understand the vital role data management plays in getting life-changing treatments to patients faster.

Effortlessly distribute, monitor, and exchange study documents with every site—wherever they work, whenever they need it.

Other tools promise site connections, but they can't deliver 100% coverage with a solution sites actually want.

Adoption

They claim sites use their tool…but you need sites to love it.

Tracking

They let you send documents…but you need to know the status of every document at every site.

Integration

They offer integration within their ecosystem…but you need compatibility with every site and sponsor software.

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.

Code and approve clinical trial data from any device and keep your safety and efficacy data clean, consistent, and ready for analysis.