A tool to help find clinical trials for cancer patients using AI and electronic medical records.
Official title: ONTRIAL: AI-DRIVEN AND EMR INTEGRATED CLINICAL TRIAL RECRUITMENT TOOL USED BY CLINICAL TRIAL AND PROVIDER TEAMS FOR RECRUITMENT OF DIVERSE POPULATIONS.
Funded at Vizlitics INC. · NIH-11199178 · Data updated 2026-11-12
This study is testing a new software called OnTrial that helps find and invite a wider range of cancer patients to join clinical trials, making it easier for doctors to connect eligible patients with important research opportunities.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vizlitics INC. NIH-funded |
| Lab location | 1 site (Chappaqua, United States) |
| Project start | September 16, 2024 |
| Project end | September 15, 2026 |
| Funding year | 2024 |
| Award (this year) | $2,049,966 |
| NIH project number | 75N91024C00060-0-9999-1 |
| Project ID | NIH-11199178 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are cancer patients who are being treated at participating clinics and may be eligible for clinical trials.
✕Less likely to help
Patients who are not currently receiving treatment for cancer or those whose conditions do not align with the trials being offered may not benefit from this research.
What this research studies
This research focuses on developing a software tool called OnTrial that enhances the recruitment of diverse cancer patients for clinical trials. By integrating artificial intelligence with electronic medical records, OnTrial aims to streamline the process of identifying eligible patients for various cancer trials, including those for breast, lung, and gastrointestinal cancers. The tool will improve communication among clinical trial teams and track recruitment efforts more effectively, ensuring that all patients seen by participating providers are considered for trial eligibility. The goal is to reduce delays in recruitment and increase the diversity of trial participants.
Why it matters
Potential benefit: If successful, this research could lead to faster and more inclusive clinical trials, ultimately improving treatment options for cancer patients.
How similar studies have gone: Other research has shown success in using technology and AI to improve clinical trial recruitment, making this approach promising and potentially impactful.
Where this research is happening
-
Vizlitics INC.
Chappaqua, United States Active
Researchers
- Principal investigator: Shearer, Chad — Vizlitics INC.
- Study coordinator: Shearer, Chad
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.