New Dashlet: TI Analytics - Protocol Deviation Dashlets

This release introduces the Protocol Deviation Dashlets to the Study-level dashboard in TI Analytics, providing users with powerful tools to monitor and analyze protocol deviations across their study. These dashlets include advanced filtering options, customizable data views, and comprehensive export capabilities for efficient deviation management.

Key Features :

• Deviation Records by Default: Automatically displays activity records where Subtype = Deviation, offering immediate visibility into protocol deviations.
• Potential Sites Included by Default: Potential Sites are included in the default site list, with the option for users to filter them out.
• Advanced Filtering: Users can filter data by fields such as Type, Status, Due Date, Severity, Identified Date, Occurrence Date, and Responsible Party, enabling precise deviation tracking.
• Date Range Filtering: Narrow results to deviations that occurred within a specified date range for more focused analysis.
• Export Capabilities: Export deviation data to Excel, CSV, or PDF formats, for easy sharing and reporting.
• Side-by-Side Site Comparison: Review individual site deviations side by side within the dashboard, using customizable category filters to enable detailed analysis with a detailed deviation listing.

Business Value: This dashlet provides powerful insights into protocol deviations, enabling users to track, analyze, and manage deviations more effectively. With customizable filtering, side-by-side comparison, and export capabilities, users can gain greater control over deviation management, improving study oversight and decision-making. By including potential sites by default, users also maintain comprehensive site visibility, while still having the flexibility to filter out unnecessary data.