Using electronic health records to improve patient matching for cancer clinical trials
Deep clinical trajectory modeling to optimize accrual to cancer clinical trials
['FUNDING_OTHER'] · DANA-FARBER CANCER INST · NIH-10781917
This study is working on a way to better find cancer patients who might be eligible for clinical trials by using information from their medical records, making it easier to match them with the right trials and improve their treatment options.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | DANA-FARBER CANCER INST (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-10781917 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the identification of cancer patients who may qualify for clinical trials by utilizing electronic health records (EHRs). It focuses on extracting valuable clinical information from EHRs, which often contain unstructured data that can hinder patient matching. By employing advanced deep learning techniques and natural language processing, the project seeks to develop tools that can analyze patient data over time, ensuring that eligibility for trials is based on the most relevant and current information. This approach could significantly increase the number of patients enrolled in clinical trials, ultimately improving cancer treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults with cancer who are seeking treatment options and may be eligible for clinical trials.
Not a fit: Patients who are not diagnosed with cancer or those who are not seeking clinical trial options may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more cancer patients being matched with appropriate clinical trials, potentially improving their treatment outcomes.
How similar studies have performed: Other research has shown promise in using advanced data analysis techniques to improve patient matching in clinical trials, indicating that this approach could be effective.
Where this research is happening
BOSTON, UNITED STATES
- DANA-FARBER CANCER INST — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KEHL, KENNETH L — DANA-FARBER CANCER INST
- Study coordinator: KEHL, KENNETH L
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.
Conditions: Cancers, neoplasm/cancer