Blogs / Real-world data

Real-world data

Learn about the use of real-world data (RWD) in healthcare. Explore the use of RWD in clinical research, drug development, and patient insights.

Real-World Data: What Is It and Why Does It Matter?

Featured blogs in Real-world data

The life sciences industry is at a turning point. Ninety-seven percent of data generated by the healthcare sector goes unused. Despite the billions of dollars invested annually in generating, acquiring, and analyzing data—from clinical trials and real-world evidence to patient-generated data—many organizations remain constrained by one persistent challenge: data silos.

Why Life Sciences Organizations Need a Linkable Data Infrastructure Now, and How to Build One 2

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As we look ahead to 2025, the health data landscape is on the brink of transformative change. The increasing adoption of advanced technologies, evolving regulatory frameworks, and growing emphasis on privacy-first and limited-data-movement initiatives are driving organizations across the healthcare value chain to reimagine how they use data.

8 Predictions for the Health Data Industry in 2025

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OMNY Health is setting a new standard for EHR data access with a cloud-first strategy on Datavant Connect powered by AWS Clean Rooms. By making its full dataset available on AWS, OMNY enables faster, more flexible real-world data evaluation for life sciences research.

Inside Look: How OMNY Health is Revolutionizing Real-World Data Access with a Cloud-First Approach

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The life sciences industry is at a turning point. Ninety-seven percent of data generated by the healthcare sector goes unused. Despite the billions of dollars invested annually in generating, acquiring, and analyzing data—from clinical trials and real-world evidence to patient-generated data—many organizations remain constrained by one persistent challenge: data silos.

Why Life Sciences Organizations Need a Linkable Data Infrastructure Now, and How to Build One

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All blogs in Real-world data

Explore how SDOH data from AnalyticsIQ enables actionable insights and advances health equity, with expert insights from Christine Lee.

Beyond the Clinic: How SDOH Data Informs Actionable Insights and Improves Health Equity

Discover the transformative role of multimodal data in healthcare. Learn how integrating diverse health data advances cancer research and treatment.

Transforming Cancer Care through Multimodal Data: An Interview with COTA CEO Miruna Sasu

Mortality is a critical endpoint in health analytics. It should be one of the basic measures of treatment efficacy, public health policy, and protocol design.

Insights After Death: The Importance of Mortality Data

Explore the importance of pathology data in healthcare research, the challenges of managing vast image files, and the exciting opportunities for AI-driven innovations in pathology.

From Glass Slides to Pixels: The Power of Digital Pathology Data

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

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

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

What is Claims Data and Its Advantages and Disadvantages?

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

EHR Data and Real-World Examples

Explore key takeaways from the Patient Insights track at RWD Connect. Gain insights to utilizing real-world data for patient-centric healthcare strategies.

Takeaways from Real-World Data Connect 2023 | Patient Insights Track

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Real-world data HIPAA Privacy Electronic health records Clinical research Revenue cycle management Medical coding International Privacy Risk adjustment

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