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DISCOVER THE ONTOFORCE USE CASES FOR CLINICAL DEVELOPMENT

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 essential pieces of the puzzle – potentially leading to flawed decisions.

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 in the clinical phase.

Use Cases

clinical trial opportunities

DISQOVER FOR IDENTIFYING CLINICAL TRIAL OPPORTUNITIES

Clinical study design and clinical trials are all about spotting the right opportunities at the right time. Depending on your role in the process, this can take various forms, from figuring out which treatments are worth setting up trials for, determining which sites to partner with, and everything in between. With its unique semantic search capabilities and data science intelligence, DISQOVER opens up a whole new range of possibilities.

trends markets competition

DISQOVER TRANSLATES CRUCIAL TRENDS, MARKETS AND COMPETITION INTO INSIGHTS

When so much is at stake, the decision to conduct a clinical trial must be well-founded. What is the market potential of the treatment under investigation? How far along are competitors with their development pipelines? What are the chances of success? Careful consideration - and a robust knowledge platform - will help you win the race.

clinical data sets 2

DISQOVER FOR DETERMINING RELEVANT CLINICAL DATA SETS

Access to the correct information is a prerequisite for effective clinical development: trial design, hypothesis validation, and portfolio management. But so is the time it takes to process and manage all the data - and this is where many research departments fall short. Scientists need to pre-process the data: collect and compile the bits and pieces of information they require for future processing and analysis.

location recruitment

DISQOVER FOR RECRUITMENT RATE INVESTIGATION

The efficiency of subject recruitment plays a vital role in identifying interesting clinical study sites, as it indicates both potential test populations and the site’s recruitment performance. DISQOVER’s intelligent search, filter, and compare capabilities and intuitive visualization features help you make informed decisions that save time – and money.

identification biomarkers

DISQOVER FOR THE IDENTIFICATION OF BIOMARKERS

How do you go about searching for biomarkers? You have a ton of options at your disposal in the life sciences industry, but finding all these resources on your own can take a lot of time and energy. There is an easier way to do this: using a knowledge platform such as DISQOVER.

Key opinion leader KOL

DISQOVER FOR KEY OPINION LEADER IDENTIFICATION

It is difficult to find appropriate experts because classifying knowledge and queries are often done manually. By locating subject matter experts and key opinion leaders to involve in research studies and clinical trials, DISQOVER improves finding experts based on expertise built-up in study or work.

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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.

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