Filter By “Linking Real-World Data”

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Worth the Effort? Unlocking Unique Insights from Unstructured Patient Data

Learn how to use unstructured data for research and analysis. Understand and overcome the primary challenges that hold back widespread accessibility.

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Navigating Real-World Data in Germany and Beyond

Learn how to connect disparate datasets, explore common challenges when running overlaps, and get advice on how to overcome challenges.

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Gaps in Overlaps? The Challenges and Opportunities of Connecting Disparate Health Datasets

Learn how to connect disparate datasets, explore common challenges when running overlaps, and get advice on how to overcome challenges.

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What is Big Data in Healthcare and How to Access It?

Learn the various types of big data in healthcare, how they are generated, and where to access them.

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What is Privacy-Preserving Record Linkage (PPRL) and Why Does It Matter?

PPRL, often known as tokenization or data linkage, protects patient privacy, enhances accuracy, and enables diverse insights. Learn how it benefits government agencies and researchers.

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What is Claims Data and Its Advantages and Disadvantages?

There are two types of claims data - open claims and closed claims. Understand the advantages and disadvantages of claims data.

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Connecting Health Data for Stronger Analytics and Deeper Insights: Consulting & Professional Services Edition

Learn how consulting and professional services can harness de-identified health data to power analytics for their organizations and clients.

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Accessing and Using Clinical Data with Real-World Data

Discover the benefits of clinical data when combined with real-world insights. Drive innovation and evidence-based practices.

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SDOH Data: Use Cases, Maintaining Privacy, and Health Data Ecosystems

Learn how SDOH data drives healthcare insights. Discover use cases, privacy measures, and access to real world data through Datavant.

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