USE CASE DISQOVERs cohort builder fast, safe clinical development ONTOFORCE (1)

USE CASE

Cohort Builder in DISQOVER

Seamlessly assemble virtual patient cohorts and accelerate your clinical development and translational research. ​

Clinical data harmonization and reuse to drive cost and time savings

Building a patient cohort is the process of identifying and assembling virtual patient groups for research or analysis by leveraging existing clinical trial data. Once assembled, researchers can test hypotheses, refine dose projections, assess potential drug combinations, and more, all before entering the clinic.

Build your patient cohorts in minutes, not months

DISQOVER’s benefits for cohort building 

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Utilize all clinical data in one platform​

DISQOVER’s data ingestion engine and knowledge graph allow users to link and integrate all relevant data sources from clinical trials, with an adaptable data model that can be extended to accommodate new data. A Study Data Tabulation Model (SDTM) pipeline is  available out-of-the-box to accelerate data ingestion and time to value. ​

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Accessible user interface for data visualization and exploration​

Powerful tabular views allow users to build and examine comprehensive datasets from multiple trials and data types. Easily identify relevant population criteria, filter data, and export insights to other analytical tools in one easy-to-use interface.

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Commitment to security and compliance

As an ISO-certified product, the platform features robust authentication and authorization protocols to ensure that only authorized personnel have access to sensitive patient data, maintaining a secure and trustworthy environment for all users.​

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Extensible and interoperable platform

The platform's interoperable architecture allows for extensive customization through plug-ins and third-party integrations. This flexibility enables direct interactions with external data request systems via the DISQOVER interface.

How building a cohort works in DISQOVER​

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1. Define your cohort

Easily define and refine your cohort criteria using DISQOVER’s intuitive query builder. With built-in synonym recognition and natural language querying, explore patient populations without requiring advanced technical skills or deep knowledge of the data.​
Example query: Identify breast cancer trial participants who received Arimidex (Anastrozole). ​

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2. Interact and explore the data and insights

Interactive and customizable charts provide a visual understanding of the cohort. Understand and analyze key clinical or demographic factors such as:​

  • Age distribution vs. adverse event severity​
  • Concomitant drug interactions affecting treatment efficacy​
  • Biomarker insights (e.g., HER2 expression) for precision medicine
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3. Validate the cohort and report

Review and fine-tune cohort datasets through a structured table view, enabling:​

  • Detailed subject-level data review (e.g. demographics, trial history, lab results) with quick filtering on columns.​
  • Customizable columns that seamlessly integrate data from multiple concepts such as drugs, clinical studies, lab tests or biomarkers. ​
  • Saving and exporting cohort findings for further analysis or review​

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Trusted by leaders in the life sciences industry

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Boehringer Ingelheim
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DISQOVER
the leading knowledge discovery platform

Experience a live walkthrough of DISQOVER with one of our experts, and get to see how our powerful knowledge discovery platform can help you accelerate your drug development activities.

 

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ONTOFORCE enables life science companies to unlock hidden insights from data.


With DISQOVER, built on knowledge graph technology, we support life sciences and pharmaceutical companies with innovative data management and visualization.

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