Time is money. But in life sciences research, speed can also save lives. The ability to process data efficiently and interlink fragmented sources of information is 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 for clinical trials.
In life sciences as a whole, success is often determined by who gets to the most accurate data the fastest. Identifying opportunities and approaching them from the right angle is crucial in clinical research as well as commercial drug development. As a result, easy access to a wide range of databases and the ability to visualize findings in a comprehensive way are competitive traits that can make all the difference.
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. Data may be heavily siloed, and there is often a lack of awareness of existing information within or outside the organization. In addition, there’s always the risk of missing important pieces of the puzzle – potentially leading to flawed decisions.
On average, data researchers spend around one day per week gathering information.
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DISQOVER empowers data scientists, researchers and study designers at pharmaceutical companies and clinical research organizations (CROs) to scrutinize, compare and analyze relevant study data from various – often siloed – sources, enabling them to make informed decisions.
In this way, they can:
DISQOVER by ONTOFORCE is a powerful and intuitive semantic search knowledge platform that helps accelerate time to value and improve the probability of success.
The ability to sift through research data from various sources in an intuitive and timely way and link up fragmented sources of information is a superpower that your organization – and your clients – can’t afford to pass up on. DISQOVER provides opportunities in four critical instances of the clinical trial process: identification of opportunities, recruitment rate prediction, adverse event investigation, and competition research. All of these are based on the ‘query funnel’, which is streamlined by DISQOVER intelligence.
Rapidly search and filter a very large number of clinical studies down to a manageable set to discover new opportunities and shorten time to readout.
Gain insights into competitor activities and progress to make a stop or go decision on a clinical trial. Easily visualize data in a dashboard to show the relative positions of competitors.
Extract value from existing data sets and promote re-use of public, internal and third-party data by identifying the right data set & improving mapping.
Analyze recruitment rates, sites, ethnicities and regions of previous studies to make accurate predictions and informed decisions.
In collaboration with graduate students from Vlerick Business School, ONTOFORCE developed a tool to calculate the ROI of shortening the critical path for clinical trials. Learn exactly how an investment in semantic search and research streamlining can benefit your organization, based on your unique situation.
The pharmaceutical industry faces many data-related challenges. Data fragmented in silos, metadata integration, and standards management are a few of the issues facing an industry in which timelines are tight,...
Read onFinding precisely relevant data is a challenging job for study designers and research and data scientists. While there has never been more information available, bits and pieces of relevant data are scattered across registries, companies, departments, databases and many other siloes. How a new approach to data management can boost efficiency and lead to better decision- making in drug development?
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