Using electronic health records to find patients who may have undiagnosed diseases
Statistical Methods for Addressing Disease Under-diagnosis Using Electronic Health Record Data
This study is working to help doctors find patients who might not have been diagnosed with their health conditions by using health records to spot patterns, so everyone gets the care they need, no matter who they are.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10779887 on NIH RePORTER |
What this research studies
This research aims to tackle the issue of under-diagnosis, where patients with certain health conditions have not received a proper diagnosis. By analyzing electronic health records (EHRs), the team will develop statistical and machine learning methods to identify patients who may be undiagnosed based on similarities in their health data. The project will also assess disparities in diagnosis rates among different population groups. Ultimately, the goal is to create software tools that can help healthcare providers better identify and address under-diagnosed patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who may have conditions like hyperaldosteronism or familial hypercholesterolemia but have not yet been diagnosed.
Not a fit: Patients who are already diagnosed with their conditions or those without any related health issues may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnosis rates for patients who are currently undiagnosed, ensuring they receive appropriate care.
How similar studies have performed: Previous research has shown promise in using electronic health records to identify undiagnosed conditions, indicating that this approach could be effective.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Chen, Jinbo — University of Pennsylvania
- Study coordinator: Chen, Jinbo
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 below.