Make Health Data Great Again!
AI-Driven OMOP Data Standardization at 100M-Patient Scale for Accelerating Target Identification.

Thursday 5 December 2024

Need to turn your raw biomedical data into usable products for target identification and precision medicine? Join us on Thursday, 5 December at 4:30 PM GMT for our webinar, Make Health Data Great Again: AI-Driven OMOP Data Standardization at 100M-Patient Scale for Accelerating Target Identification.

Discover how harmonizing health data using the OMOP common data model can unlock research potential and accelerate target identification. Featuring a live demo of Lifebit’s Trusted Data Lakehouse.

5th December 2024
16:30-17:30 GMT
Online
Lifebit Webinar

Industry and health organisations face significant challenges in accessing, processing, and utilizing data in a timely and compliant manner, which can significantly impact research and development timelines. These organisations spend precious time locating and accessing data.  Over 80% of health data is unavailable for R&D and typically it takes 6-18 months to turn raw data into usable ready for research. This results in significant delays to the process for  which target identification and validation in drug discovery.

To unleash this potential for target identification, harmonized approaches to data standardization, like the OMOP Common Data Model (CDM), are crucial for enabling researchers to efficiently query and analyze global data resources. This webinar will:

  • Explore how OMOP transforms raw health data into harmonized, analysis-ready datasets.

  • Showcase Lifebit’s Trusted Data Lakehouse and its OMOP AI capabilities in a live demo.

 

Five reasons why OMOP is the best data model for biomedical data harmonization

  1. Trusted by global biobanks

    OMOP is the leading open community Common Data Model (CDM), trusted by global biobanks (e.g.,Genomics England, FinnGen), research institutions, and pharmaceutical companies for standardizing clinical data.

  2. Scalable harmonization capabilities
    OMOP excels at harmonizing data at massive scale, enabling researchers to query datasets spanning millions of patients across disease domains.

  3. Boosting collaboration

    OMOP enhances data interoperability, allowing researchers to collaborate across multiple institutions and geographies seamlessly, combining and analyzing data from multiple sources, which is vital for biomedical data research.

  4. Versatile for all disease domains

    OMOP is designed to standardize data for any disease domain, from oncology and rare diseases to cardiology and beyond. Its adaptable structure ensures consistent data harmonization regardless of the therapeutic area, making it the ideal choice for diverse research and clinical applications.

  5. Recommended by EHDEN

OMOP is the recommended standard by the European Health Data and Evidence Network (EHDEN) for clinical data standardization, ensuring compliance with global standards and unparalleled expertise in transforming biomedical datasets.

Why use Lifebit’s Trusted Data Lakehouse for OMOP harmonization?

Lifebit’s Trusted Data Lakehouse is purpose-built for distributed biomedical data:

Proven Expertise at Scale: Seamlessly scale across 100M+ patients in Lifebit’s global data network, delivering results for the world’s largest datasets.

EHDEN-Certified: Recognized experts in OMOP data standardization, certified by the European Health Data and Evidence Network.

Regulatory Compliance: Fully aligned with FDA and global RWE regulations, ensuring compliance for drug discovery and precision medicine initiatives.

Don’t miss this opportunity to learn how to unlock the full potential of your health data.

Register now!

 

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