Automated tools to gather breast cancer outcomes from medical records
Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients
Building easy-to-run computer tools that read clinic notes and reports to track health outcomes for people with breast cancer.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Arizona NIH-funded |
| Lab location | 1 site (Scottsdale, United States) |
| Project ID | NIH-11160705 on NIH RePORTER |
What this research studies
This project will create computer programs that read doctors' notes, radiology reports, and pathology reports over time to pull out outcomes like recurrence, metastasis, and treatment responses. The toolkit is designed to run locally at hospitals so patient records do not need to be transferred offsite. The team will test the tools across different hospitals and record types to make sure they work for diverse groups and documentation styles. The aim is to reduce manual chart review and speed up accurate population-level tracking of breast cancer outcomes.
Who could benefit from this research
Good fit: People with a current or past diagnosis of breast cancer whose medical records (clinic notes, radiology and pathology reports) are available at participating hospitals are the ideal candidates for having their outcomes captured by this work.
Not a fit: Patients without electronic or accessible medical records, those whose records are not available to participating institutions, or people without breast cancer are unlikely to receive direct benefit from this project.
Why it matters
Potential benefit: If successful, this could make it faster and more accurate to track outcomes for people with breast cancer, helping improve care decisions and research speed.
How similar studies have performed: Similar natural language processing tools have shown promise extracting cancer data at single centers, but making them work reliably across many hospitals remains a challenge.
Where this research is happening
Scottsdale, United States
- Mayo Clinic Arizona — Scottsdale, United States (Active)
Researchers
- Principal investigator: Banerjee, Imon — Mayo Clinic Arizona
- Study coordinator: Banerjee, Imon
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.