Understanding how biases in health data affect patient care
Official title: Health equity and the impacts of EHR data bias associated with social determinants
Funded at Oregon Health & Science University · NIH-11081727 · Data updated 2026-11-12
This study looks at how things like money troubles and discrimination can lead to unfair information in health records, and it aims to find ways to make sure that healthcare predictions work well for everyone, so all patients get the care they deserve.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project start | August 4, 2023 |
| Project end | April 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $297,139 |
| NIH project number | 5R01LM013990-03 |
| Project ID | NIH-11081727 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients who have experienced disparities in healthcare access or outcomes due to social determinants of health.
✕Less likely to help
Patients who do not face any barriers related to social determinants of health may not receive direct benefits from this research.
What this research studies
This research investigates how social determinants of health, such as financial security and discrimination, create biases in electronic health records (EHRs) that can affect patient care. By analyzing these biases, the research aims to develop methods to ensure that risk prediction algorithms used in healthcare are fair and effective for all patients. The goal is to identify and address the inequities that arise from biased data, ultimately improving healthcare delivery and outcomes for diverse populations.
Why it matters
Potential benefit: If successful, this research could lead to more equitable healthcare practices and improved health outcomes for patients from marginalized communities.
How similar studies have gone: Other research has shown that addressing biases in healthcare data can lead to significant improvements in patient outcomes, indicating that this approach has potential for success.
Where this research is happening
-
Oregon Health & Science University
Portland, United States Active
Researchers
- Principal investigator: Weiskopf, Nicole Gray — Oregon Health & Science University
- Study coordinator: Weiskopf, Nicole Gray
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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.