DFdiscover - eClinical Software Suite

DFdiscover - eClinical Software Suite

Platform Technology

Information

Manage the lifecycle of your clinical study from eCRF setup to quality datasets ready for FDA/EMA submission with DFdiscover, the all-in-one user-friendly eClinical software. Includes DFweb eClinical solution, a browser-based data collection, and a data review solution for the DFdiscover software suite. It leverages your existing browser, bringing the power of DFdiscover to desktop or mobile computers. Formerly known as DataFax, DFdiscover is a mature 21 CFR Part 11-compliant modern clinical data management software (CDMS) used by academic, government, global health, biotechnology, and pharmaceutical organizations worldwide. The system offers a flexible hybrid solution with the ability to seamlessly transition between EDC, traditional paper CRFs, and online/offline tablet application to best meet protocol-specific and clinical research site needs for onsite or remote data collection and monitoring. DFdiscover conforms to CDISC standards and enables CDASH-compliant eCRFs.
DF/Net ResearchFrom Data Capture to Data Science -- DF/Net is a data-focused clinical research organization providing eClinical solutions, including hybrid data collection, eSource, ePRO, data management software and services. DF/Net owns and develops the DFdiscover family of eClinical software.  We also provide technical infrastructure, data management, data science services, and ongoing support for projects focused on the betterment of global health and the advancement of healthcare science. Incorporated in Seattle in 2004, DF/Net is an experienced and trusted clinical research partner for CROs, pharma, biotech, government, academic, and global health non-profit clients. Our continued success has been based on two factors: Building connections and relationships with people Providing the right tools to connect people with their data. At DF/Net, we recognize the challenges facing our research collaborators. Therefore, we work with our partners to develop robust, high-quality data management solutions that make the best use of limited study resources. The goal of attributable, accurate, contemporaneous, and auditable data is critical to the success of any study

Log in