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

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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Learn how HEOR teams can accelerate dataset assessment, streamline access, and drive meaningful insights—all while supporting privacy compliance. Discover how Verana Health, Datavant, and AWS are enabling urology research with a cloud-first approach, driving faster insights from curated EHR data without moving underlying datasets.

Accelerating Urology Research with Cloud-First Data Discovery and Assessment

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All blogs in Real-world data

Medical research is beginning to make use of “real world data,” the data generated from everyday visits to doctors’ offices by normal patients. A new paper in The Oncologist provides a powerful demonstration...

A Study Showing Real World Use of “Real World Data”

Slowly but surely, the pace of change in healthcare is starting to accelerate, and 2019 will be a dynamic year for the industry with major regulatory, technological, and business innovation.

Healthcare Predictions for 2019

Last week, Amazon announced the launch of Comprehend Medical, a tool to mine unstructured health data from text. The press around the announcement jumped to the long-term implications of AI mining medical records...

In the Quest for Big Tech To Break Into Healthcare, Amazon Just Broke Away From Apple and Alphabet

An overview of data analytics in the patient, provider, payer, andLife Sciences segments, along with predictions for the future of healthcare data analytics.

Data Analytics in Healthcare: Ecosystem Overview

Understand the difference between open and closed healthcare data ecosystems, and how to get to a more open data ecosystem.

Open vs. Closed Data Ecosystems in Healthcare

A Survey of The Health Data Ecosystem At Datavant, we’re focused on the vision of connecting the world’s health data to improve patient care and speed the development of new treatments.

The Fragmentation of Health Data

Datavant’s vision is to organize the world’s health data. We believe that this is one of the most important data challenges of this era: if we are successful over the next 20 years, ...

The Datavant Vision: Organizing the World’s Health Data

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