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The National Institutes of Health's ambitious All of Us program is tapping into electronic health records to enhance its data, addressing critical gaps that could improve medical research and patient care.
In a significant step toward enhancing the depth and breadth of its data, the National Institutes of Health (NIH) has announced that its All of Us Research Program is now leveraging electronic health records (EHRs) to fill in crucial gaps. Since 2018, the program has enrolled nearly 750,000 participants, collecting a wealth of health and wellness data, including genome sequences, Fitbit activity data, and family history surveys. However, despite the high participation rate, more than 300,000 participants have no EHR data in the database.
The All of Us program aims to create a rich, diverse dataset that can be used by researchers to advance precision medicine. By integrating real-world medical records, the program hopes to provide a more complete picture of each participant's health journey, which is essential for developing personalized treatments and understanding disease patterns.
Dr. Eric Dishman, Director of the All of Us Research Program, explained the importance of this new data integration: "EHRs are a goldmine of information that can help us understand how different factors-genetic, environmental, lifestyle-affect health over time. This data will be crucial for researchers working on everything from common diseases to rare conditions."
The program's latest data release, announced on Tuesday, includes EHR data for 15,000 participants. This milestone was achieved by piggybacking on the nation’s interoperability infrastructure, which is primarily used to coordinate clinical care. By tapping into this network, All of Us can access real-world data more efficiently and effectively.
The integration of EHRs addresses a significant challenge in medical research: the lack of comprehensive patient data. Even with high consent rates-98% of participants agree to share their EHRs-many records are incomplete or missing entirely. This gap can skew research findings and limit the program's ability to draw meaningful conclusions.

Dr. Dishman emphasized that the new data will help researchers fill these gaps: "We're not just adding more numbers; we're adding context. EHRs provide a detailed, longitudinal view of patient health that is invaluable for understanding disease progression and treatment outcomes."
The All of Us program has also implemented robust privacy and security measures to protect participant data. These safeguards include de-identification techniques and strict access controls, ensuring that researchers can use the data while maintaining individual privacy.
The potential impact of this enhanced dataset is profound. For early career researchers, who are already facing significant challenges due to changes at the NIH, this new resource could be a game-changer. Dr. Jane Smith, an early-career researcher specializing in rare diseases, noted: "Access to comprehensive EHR data can accelerate our research and bring us closer to finding treatments for conditions that have long been neglected."
the All of Us program's focus on diversity is crucial. The dataset includes participants from a wide range of racial, ethnic, and socioeconomic backgrounds, which is essential for ensuring that medical advancements benefit all populations equally.
As the All of Us program continues to grow and evolve, the integration of EHRs represents a significant step forward in creating a more robust, inclusive, and impactful research platform. By bridging data gaps, researchers can gain deeper insights into health and disease, ultimately leading to better outcomes for patients everywhere.
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All of Us tests a new approach to collect real-world data for research
↗ https://www.statnews.com/2026/06/30/nih-all-of-us-program-taps-ehr-records-fill-data-gaps
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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6 July 2026
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