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Integrate Your Data to Get the Full Picture

Get a Step Ahead of the Game

Get a Step Ahead of the Game

Power the predictive models in Citeline Study Feasibility with your clinical trial operational metrics, performance/quality data, activation timelines, and more – alongside Informa’s data – to optimize our algorithms for your benefit.

Our digital eBook provides a deep dive into how you can unlock the hidden value of your data with Citeline Study Feasibility.


Why Integrate Your Data into Our Models?

Why Integrate Your Data into Our Models?

Clinical trial KPI improvements:

  • Faster time to first site initiation following protocol approval
  • Faster enrollment duration (FPFV to LPLV)
  • More sites enrolling patients


Feasibility workflow improvements:

  • Less manual work and faster turnaround time for feasibility analyses
  • Easier evaluation for RFP responses or bid defenses 
  • Less systems/tools for feasibility and associated cost savings

Why Should You Partner with Us?



We have the experience and have already done most of the work.


Why Should You Partner with Us?

What is the Process for Integrating Your Data?

What is the Process for Integrating Your Data?

Step 1: Assess data requirements and availability

Step 2: Address data privacy, security and legal requirements

Step 3: Arrange data transfer to Informa for ML algorithm training

Listen to our presentation with ICON at Bio-IT World

Bio-IT presentation

Machine Learning Approach to Predicting Patient Enrollment, Managing Risk & Accelerating Timelines in Study Feasibility

Failure to enroll patients is one of the leading causes of clinical trial delays. As life science organizations adopt more data-driven approaches to determining trial feasibility and seek to improve operational performance, the use of machine learning and predictive models can accelerate cycle times, improve site selection, provide more accurate enrollment forecasts to base decisions on, and reduce manual effort involved in scenario modelling.



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