ClearTrial upgrade adds trial forecast customisation options

By Nick Taylor

- Last updated on GMT

An upgrade to ClearTrial software allows users to tailor the system to their requirements by incorporating in-house forecasting algorithms.

ClearTrial 4, like its predecessors, includes algorithms for forecasting clinical trial budgets and timelines. Building on this, ClearTrial 4 allows users to create and incorporate their own algorithms that use in-house clinical experience and expertise to more accurately forecast trials.

Having both options means ClearTrial 4 works immediately but can also be modified to offer “greater speed, accuracy and flexibility in study planning, forecasting, and tracking​", said Andrew Grygiel, vice president of marketing and product management for ClearTrial.

Algorithms and tasks are added to the software as a service (SaaS) package using ClearTrial Manager. This “easy-to-navigate​” system​allows users to add, delete or edit factors impacting on forecasts, such as the trial site and its location, through dropdown menu lists.

Built-in features

In-house algorithms complement built-in forecasting capabilities of ClearTrial Work Breakdown Structure (WBS). Clinical study cost and time drivers are assessed and updated to give users a breakdown of how the tasks and sub-tasks of a trial will impact on the project as a whole.

This allows users “to conduct fast and accurate study planning simply by entering their clinical assumptions into the software​”. Furthermore, use of ClearTrial algorithms means users can make cost and time predictions for elements of which they have no prior in-house experience.

ClearTrial says this offers users “the best of both worlds​”. It also makes the system a viable option for biopharm of various sizes, with small firms appreciating the built-in features and SaaS model, and larger companies benefiting from the option to use in-house clinical trial knowledge.

As such, it continues work by ClearTrial to “compress study timelines while reducing study risks, helping to overcome a challenging operating environment​”, said Grygiel.

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