Try DISQOVER

DATA RE-USE BEST PRACTICES

With its powerful data-modeling and formatting capabilities, DISQOVER allows study designers and other users to 're-use' data generated for other primary purposes, e.g., unsuccessful trials. In some cases, the combined and re-usable data from previous studies can generate new hypotheses or insights without setting up a new clinical trial.

In cohort selection, for example, real-world data can be re-used in powerful ways to design a study with as little variability as possible.

Non-clinical data can provide essential insights into how the trial should be designed to avoid adverse effects – for example, through more precise identification of the patient population subset where the treatment would have the most beneficial impact.

Preliminary providing potential partner sites with these inclusion/exclusion criteria can significantly optimize recruitment.

By integrating internal and external clinical data and real-world data, clinical scientists can quickly identify relevant datasets to support their hypotheses.

 

"By re-using clinical trial data, we maximize the contributions of trial participants, which ultimately benefits future patients as well."

 

patient-centric-view-Patient-Journey-Ontoforce-disqover

 

CAPTURING METADATA AND MAKING IT SEARCHABLE

Clinical trials result in complex and multidimensional data sets. By capturing the generated metadata, DISQOVER allows users to

•  narrow down on specific perspectives or criteria;

•  perform downstream analysis;

•  create new subsets according to various criteria.

 

Try DISQOVER

Go hands-on with the DISQOVER Community Edition to search, explore and visualize data from a variety of public sources for free, or get in touch with our team to schedule a personalized demo. 

WHITEPAPER

DATA-DRIVEN CLINICAL TRIAL FEASIBILITY & STUDY DESIGN

How a new approach to data management can boost efficiency and lead to better decision-making in drug development.

Download
Book-img-new