TRIAL PLANNING & SITE SELECTION
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.
ta-Scan is a comprehensive, web-based clinical business intelligence platform that facilitates and accelerates data-driven decision-making for all aspects of clinical study planning and implementation through rich data searches. ta-Scan analyzes, measures and ranks trial and site data, including KOL and PI experience and involvement. The data can be supplemented with private data for a 360° view on reality.
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.
Trial planning is time-consuming and requires high precision in every stage of the process, so efficiently finding and aggregating data into insights is crucial.
ta-Scan helps you extract deep insights from a range of linked data classes. The platform also includes a robust set of modules and features to facilitate locating, aggregating, and analyzing structured and unstructured data.
ta-Scan provides additional benefits to facilitate your data search and collection process:
ta-Scan’s advanced technology enables highly precise, predictive analytics of clinical trial outcome scenarios. The platform’s simulation tool uses all aggregated historical public clinical trial data to-date to analyze and optimize assumptions about target patient profile enrollment. Additionally, ta-Scan’s feasibility algorithm allows for more accurate planning for when trials should be initiated. The algorithm searches and identifies competing clinical studies happening at preferred sites within enrollment periods. Their impact is analyzed and you get recommendations for alternative site availability and scheduling dates.
Adaptive, Interactive Reportingta-Scan’s deep and far-ranging data source search capabilities span all disease indications on a global, country and more focused local level for trial, KOL, and study site data. These search results can be organized into a raw data Excel format or into an in-depth analysis report that stays updated. You can even create flexible reports that only contain the most relevant data elements for you. Share interactive reports with realtime data among colleagues, or export your report into PDF to facilitate accessibility and wider sharing for further input.
ta-Scan data can work adaptively alongside any private clinical database environment. However, an optimized, unified view based on integration, analysis, and reporting capabilities between public and private data is essential. With AnjuBUS, private data can be seamlessly connected and integrated with ta-Scan, providing an augmented view of the clinical space and access to a full 360° view of data impacting clinical studies. Other Anju data sources can also be used to complement ta-Scan, such as Zephyr (identify and profile trials, KOLs, and sites), OpenQ (KOL management and engagement tool), PUBSTRAT (medical and scientific publication tool), and AnjuCTMS (Clinical Trial Management System).
