Improving early detection of ADHD in children using electronic health records
Official title: Promoting Universal Screening and Early Identification of Child ADHD via Integrated Automatic EHR Supports in Primary Care
Funded at Johns Hopkins University · NIH-10883975 · Data updated 2026-11-12
This study is working on a new tool to help doctors spot ADHD in kids earlier by using data from health records, so more children can get the support they need as soon as possible.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $212,492 |
| NIH project number | 7R21MH128585-02 |
| Project ID | NIH-10883975 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 4 to 18 who may be at risk for ADHD and are receiving care in primary healthcare settings.
✕Less likely to help
Patients who are outside the age range of 4 to 18 or those who have already been diagnosed and are receiving treatment for ADHD may not benefit from this research.
What this research studies
This research aims to enhance the early identification of Attention Deficit Hyperactivity Disorder (ADHD) in children by developing an electronic health record (EHR) algorithm. The project will analyze existing data to identify children at risk for ADHD, focusing on improving screening rates in pediatric primary care settings. By collaborating with healthcare stakeholders, the researchers will create a roadmap for implementing this algorithm, ensuring that more children receive timely diagnoses and appropriate care.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and treatment of ADHD in children, reducing the risk of negative outcomes associated with untreated ADHD.
How similar studies have gone: Previous research has successfully utilized Natural Language Processing techniques to identify other behavioral health conditions, indicating potential for success in applying similar methods to ADHD identification.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Gao, Guodong — Johns Hopkins University
- Study coordinator: Gao, Guodong
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.