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As a web-based decision support platform, ta-Scan helps users with various aspects of clinical trial planning and execution, such as portfolio analysis, design and strategy along with country and site selection. With ta-Scan, users can further locate KOL associations, as well as investigators with specific therapeutic experience, or institutes with the capacity to conduct complex protocols. Through this one tool, users can gain powerful insights without needing to access dozens of databases. ta-Scan also presents global and national therapeutic landscapes as easily navigable experiences.
Stop missing active investigators and thought leaders with ta-Scan’s powerful data mining and linking algorithms:
ta-Scan transforms and advances the intelligence gathering and analyses that enables clinical development.
Through this versatile semantic web mining platform, users can depict data as a dashboard, table, or summary report that can be forwarded to team members. More complex displays, such as (heat) maps, timelines, Gantt charts, visual scores, and connecting graphics can illustrate unique insights that can expand business intelligence and communication and facilitate internal reporting and data sharing.
ta-Scan is designed to support the clinical study project workflow. The platform contains modules that enable sequenced business questions supporting the following clinical study development areas:
Make smarter, data-driven decisions based on predictive enrollment algorithms during study planning. Optimize your country and site selection to reduce study delays and additional costs.
Leverage the ta-Scan algorithms to identify clinical footprints in literature. Manage key thought leader relationships, monitor publications and presentations from ongoing trials, new compounds and other medical topics.
With ta-Scan, you have the tools to fully capture and visualize your clinical trial landscape and identify opportunities.
Uncover scientific data links in depth with ta-Scan. Identify trials and thought leaders associated with unique compounds, mechanisms of action and biomarker research.
