From predicting recruitment rates and finding the right partner institutions, to investigating adverse events: analyzing all the information required to set up a successful clinical trial is challenging, time-intensive, and costly.
Drug development cycle
From predicting recruitment rates and finding the right partner institutions, to investigating adverse events: analyzing all the information required to set up a successful clinical trial is challenging, time-intensive, and costly.
How can DISQOVER help?
Access all available data, investigate hypotheses, make informed decisions, and set up success potential for a new drug.
Let’s connect and figure it out.
Clinical studies data may be heavily siloed, and there is often a lack of awareness of existing information within or outside an organization. In addition, there’s always the risk of missing essential pieces of the puzzle – potentially leading to flawed decisions.
The ability to process data efficiently and interlink fragmented sources of information are paramount to successful drug development. And that’s where DISQOVER by ONTOFORCE makes all the difference. Here is a snapshot of the DISQOVER use cases in the clinical phase.
New approaches to data management can boost efficiency and lead to better decision-making in drug development. In this whitepaper, we’ll go deeper into the current state of the art in managing clinical data and metadata that resides inside or outside an organization. Based on practical use cases, we explain the immediate and long-term impact of treating data as a valuable asset to achieve concrete business goals.
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