DISQOVER for clinical hypotheses creation and evaluation
Without a central registry that links internal and external study data, the creation and evaluation of clinical hypotheses can be daunting and time-intensive tasks. That's why DISQOVER integrates various internal, public and third-party data sources and makes the information easily searchable, accelerating and optimizing the process.
Challenges in hypotheses creation/evaluation
Clinical hypotheses are key in deciding which developments your organization should invest in. To create or evaluate a specific clinical hypothesis, researchers need to access a variety of information sources, e.g. trials, patents, publications, biomarkers, etc.
However, much of this data is stored in silos spread across multiple complex repositories. The absence of a central registry and meaningful links between internal and external datasets results in an inadequate overview, ultimately causing time and cost inefficiency.
A touch of DISQOVER
To overcome these challenges, DISQOVER integrates various internal, public and third-party data sources and makes them accessible from one place. This facilitates the process of gathering the information needed to accelerate high-quality clinical hypothesis creation and evaluation – which, in turn, leads to better scientific investments.
Advantages of DISQOVER for clinical hypotheses
- Access internal, public and third-party sources via one single interface and keep a close eye on research development.
- Enjoy a consistent and intuitive user interface that harmonizes search results and makes the curation of information easier than ever.
- Streamline the process of clinical hypothesis creation and evaluation and make better investment decisions.
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.
