Applying for the Cancer Center Support Grant (CCSG) is a difficult process to manage, especially for centers applying for the first time when seeking NCI-designation. The CCSG application process is complex and resource-intensive, especially when data is decentralized, and processes are not clearly defined. This is the story of how the University of Florida Health…
When the UF Health Cancer Center made the decision to seek NCI designation, they realized they needed a way to go beyond simply tracking and storing data related to investigators, publications and grants. They needed to make connections with the data in order to demonstrate research ROI to the NCI in order to successfully manage the CCSG application process.
Use these best practices to effectively build and implement eCRFs for your clinical trials and see higher quality data collection at your research organization.
Expert webinar presenters answer attendee questions on how to gain buy-in for developing quality data practices, creating a dictionary of terms for data entry, methods for validating data and more.
As natural and man-made disasters have become more prevalent in the healthcare industry, it’s important for research organizations to ensure they have well-defined business continuity and disaster recovery plans.
Watch this free, on-demand webinar to learn how your organization can take the necessary steps to clean up existing data and ensure more consistent organizational data practices.
Forte’s development approach is to not only navigate industry regulations, but to strategize how to best serve and assist our community. Learn Forte’s philosophy towards developing 21 CFR Part 11 compliant systems.
Centralized monitoring can help monitors quickly identify problem protocols and/or sites to reduce regulatory risks, data errors and protocol deviations.
Don’t overlook these key factors when making your build vs. buy decision for a research evaluation and reporting system.
Use these five fundamental elements of clinical data management to implement quality data practices across your research organization.