We understand that the foundation of successful biotech research, especially in intricate fields like oncology and rare diseases, lies in the diligent oversight and management of clinical trial data. At Evestia Clinical, our dedicated data management team is comprised of industry experts that serve as a trusted and proactive partner, ensuring the highest standards of data quality, integrity, and compliance in both standalone and/or full-service solutions; no matter your need, our team of professionals offers a custom-tailored solution.
When it comes to partnership, we understand that the cornerstone of a winning team is built on fostering an environment of synergy and collaboration; we take the time to understand your unique study protocols and data requirements. Expect comprehensive capabilities spanning the entire data lifecycle, including efficient data capture, rigorous data cleaning, database design and management, and adherence to regulatory guidelines.
We utilize proven methodologies and robust technologies to deliver reliable and timely data, empowering you to make critical decisions with confidence. Transparency and open communication are central to our approach, ensuring a clear and consistent view of your study data throughout the process. Count on us for expert support and meticulous attention to detail for your vital research.
Industry preferred EDC Management Systems in which we deliver for our clients:
- Zelta by Merative
- Veeva Vault CDMS
- Medidata for Rave
Our data management capabilities encompass:
- Protocol Study Design
- Case Report Form configuration in accordance with CDISC/CDASH data standards Full Study, Multi-phase / cohort study designs and configurations
- IVRS / IXRS testing and validation
- Automated data validation at point of entry
- Standard / Custom reporting, dashboards, and KPIs
- Third-party data reconciliation and management
- Automated / AI / Expert level Medical coding (MedDRA, WHODrug)
- Data Transfers (API and Manual integrations)
- Fit for purpose ePRO/eConsent tailored for on-site or BYOD
- Data Quality Reviews and Analysis
