Clinical research and development

Experts provide overview of key health data sources, such as EHRs, claims, lab, and genomics. Effectively use diverse health data in research and operations.

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Leverage patient-authorized data to advance research and development efforts. Datavant helps Sponsors find fit-for-purpose data partners for their trial needs.

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Explore the transformative power of connected real-world data in reshaping how life sciences companies approach audience targeting, engagement, and measurement.

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In today's clinical research landscape, patient registries are transforming how we understand diseases and develop new treatments.

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Build a nimble data strategy with Datavant Connect, the platform that helps you balance data utility with data privacy.

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AI has the potential to touch all parts of the healthcare industry. While still in its infancy, this panel imagined scenarios for how and where to deploy AI in order to maximize its potential for improving patient outcomes.

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What lessons have we held onto from the COVID-19 pandemic? This panel explored how the public-private partnerships that were established during the pandemic affect our current data readiness, as well as how we can better navigate complex regulatory jurisdictions to maintain critical data flow in times of crisis.

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Large fit-for-purpose clinical trials remain prohibitively expensive and challenging to organize. This panel discussed building patient trust and finding alternative routes to organizing large clinical trials.

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Kythera Labs leveraged Datavant's advanced identity resolution technology to narrow the number of distinct patients, producing a higher quality dataset.

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Linking curated claims and registry data from electronic health records sheds light on full disease burden and healthcare utilization

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Despite high effectiveness of COVID-19 vaccines in the real-world, there have been cases of fully vaccinated patients contracting COVID.

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A molecular diagnostics company developed a blood test to support treatment selection for patients with advanced non-small cell lung cancer (NSCLC).

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Datavant's integrated tokenization capabilities make it simpler and easier for our customers to tokenize and link data directly on Snowflake Data Cloud.

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Assess is a feasibility reporting toolkit that visualizes metadata and overlap. Evaluate potential data partners with Assess.

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Datavant’s tokenization and privacy preserving linkages is fully integrated on Databricks enabling new ways to analyze data in healthcare and life sciences.

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Match uses machine learning models trained on comprehensive consumer and EHR datasets to deliver the highest precision rates in the industry.

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In today’s dynamic regulatory environment, healthcare, life science, and research organizations must balance patient privacy with the need for innovation.

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In today’s data-driven healthcare environment, ensuring patient privacy while maintaining data utility is essential.

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In today’s healthcare data landscape, unstructured text represents both a tremendous opportunity and a significant challenge.

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Datavant partners with hundreds of entities to benefit patient outcomes. Learn how a robust and growing real-world data ecosystem is emerging in Europe.

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