Creating personalized preventive care recommendations using electronic health records.
Official title: A personalized preventive care recommendation system by integrating guidelines with the EHR data
Funded at Oklahoma State University Stillwater · NIH-11031462 · Data updated 2026-11-12
This study is working on a new system that gives personalized health advice based on your medical history and lifestyle, so you can get the best preventive care just for you, rather than a generic plan that might not fit your needs.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oklahoma State University Stillwater NIH-funded |
| Lab location | 1 site (Stillwater, United States) |
| Project start | September 23, 2021 |
| Project end | August 31, 2025 |
| Funding year | 2021 |
| Award (this year) | $289,492 |
| NIH project number | 7R15GM139094-02 |
| Project ID | NIH-11031462 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with chronic health conditions or those at risk for developing such conditions, who would benefit from tailored preventive care recommendations.
✕Less likely to help
Patients who are not experiencing chronic health issues or do not have significant risk factors for disease may not receive direct benefits from this research.
What this research studies
This research aims to develop a system that provides personalized preventive care recommendations by integrating electronic health record (EHR) data with clinical guidelines. It focuses on utilizing advanced techniques like Natural Language Processing (NLP) and artificial intelligence to analyze a patient's unique risk factors, including family history, social behaviors, and chronic disease history. By moving away from a 'one size fits all' approach, the project seeks to tailor preventive care to individual needs, potentially improving health outcomes and reducing healthcare costs.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized preventive care strategies for patients, ultimately improving their health and well-being.
How similar studies have gone: While the integration of NLP and AI in healthcare is an emerging field, similar approaches have shown promise in improving personalized care, indicating potential for success in this novel application.
Where this research is happening
-
Oklahoma State University Stillwater
Stillwater, United States Active
Researchers
- Principal investigator: Luo, Xiao — Oklahoma State University Stillwater
- Study coordinator: Luo, Xiao
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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.