Clinical research and development

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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Tokenizing clinical trial data in the development lifecycle allows earlier access to real-world data. Validate populations prior to marketing authorization.

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Specialty drugs drive the majority of prescription drug spending. Learn about capabilities unlocked by connecting SP data, first party data, and RWD.

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De-identify data while balancing business needs, research objectives and, patient privacy protections. Learn how to protect sensitive information.

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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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Datavant 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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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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Datavant Connect tokenizes sensitive information that can’t be reverse-engineered to reveal the underlying information. Leverage Datavant in the cloud, such as AWS and Databricks.

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Using Datavant to link and de-identify employee health data, employers can better understand their employee needs and offer the right benefits for improved wellness and cost optimization.

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A survey of life sciences leaders reveals some of the key challenges that come with using real-world data (RWD) for innovation, along with their vision and predictions for how RWD can accelerate drug development and improve patient outcomes.

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