Clinical Data Management

"Efficient Data Management for Reliable Results"

Through our comprehensive clinical data management services, we guarantee the efficient collection, validation, and secure storage of clinical trial data.

EPDA is actively engaged in all aspects of the clinical trial process, from CRF/eCRF development to DB closure, and has implemented industry- recognized and accepted data management systems, which enables us to deliver high-quality outputs with confidence.

Paper CRF based studies:

  • Database Template Design
  • Data Entry
  • Manual/ System Based Validation
  • Reconciliation
  • Data Discrepancy Management
  • Electronic Data Archival

EDC-based studies:

  • eCRF Design and development
  • Data Management Plan (DMP)
  • Data Validation Specifications (edit checks and listings)
  • Edit Check Programming (based on final DVS)
  • Reconciliation
  • Data Discrepancy Management
  • Data Cleaning
  • Electronic Data Archival
  • Database Lock

Our team utilizes industry-standard electronic data capture (EDC) systems and implements robust data management processes.

This ensures the integrity of the data, and compliance with regulatory requirements, and enables streamlined data analysis.

With a focus on accuracy and efficiency, we facilitate reliable and timely results that drive meaningful insights.

Clinical data management plays a crucial role in clinical trials, ensuring the accuracy, integrity, and confidentiality of the data collected throughout the study. Its primary objective is to maintain high-quality data that is reliable for analysis and regulatory submission.

Clinical data management encompasses various tasks such as data collection, validation, cleaning, and database management. It establishes standardized processes for data entry, implements quality control measures to identify and resolve discrepancies, and ensures compliance with regulatory guidelines and data privacy regulations.

By efficiently managing and organizing the clinical data, it facilitates accurate analysis, interpretation, and reporting of study results. It also enables effective data sharing among investigators, sponsors, and regulatory authorities.

Softwares : (Click Individual to know more)

Statistical Programming

"Transforming Data into Actionable Insights"

Endpoint Data Analytics (EPDA) Services