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DISCOVER THE ONTOFORCE USE CASES IN POST-MARKETING SURVEILLANCE

During drug commercialization, it remains essential to identify key thought leaders, collect and analyze all information on the treatments, from the scientific literature to patient registries and social media, adverse event reports...

DISQOVER brings these sources together and harmonizes them so that all relevant information is quickly accessible.

Use Cases

trends markets competition

DISQOVER TRANSLATES CRUCIAL TRENDS, MARKETS AND COMPETITION INTO INSIGHTS

When the stakes are so high, the decision to commercialize an approved drug or vaccine must be well-founded. What is the market potential of the treatment being investigated? How far along are competitors with their development pipelines? What are the chances of success? Careful consideration - and a robust knowledge platform - help win the race.

Key opinion leader KOL

DISQOVER FOR KEY OPINION LEADER IDENTIFICATION

The importance of post-launch KOLs cannot be underestimated.  In their role as educators and influencers of their peers, they can contribute significantly to product awareness and provide valuable information based on their personal experience of prescribing the drug.  It is challenging to find appropriate experts because classifying knowledge and queries are often done manually.  By identifying subject matter experts and key opinion leaders to be involved in research studies and clinical trials, DISQOVER improves finding experts based on experience.

Literature

DISQOVER FOR LITERATURE SEARCH AND REVIEW

Traditionally, new drug discoveries arise from medical needs or commercial potential. But what if we discover new scientific opportunities based on existing publications and patents? Shifting existing literature for evidence relating to a research topic is a core element of life sciences research during commercialization. With DISQOVER's unique features, finding, assembling, and curating that evidence become a lot less time-consuming – enhancing productivity and giving you a leg up on your competition.

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WHITEPAPER

THE NEW ERA OF LIFE SCIENCES DATA RESEARCH

The term ‘big data’ seems old school now that ‘machine learning’, ‘deep learning’ and emerging concepts such as ‘edge AI’ are the hypes of the day. However, despite our general familiarity with the concept of big data, challenges related to data-driven decision making still remain.  Several key learnings have emerged over the last decade. How do we use our expensive data processing and analytics tools to generate actionable insights? 

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