Trial Enrollment
PRISM
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THE PROBLEM
Oncologists and their staff are collectively responsible for matching thousands of patients to hundreds of clinical trials each year. This complex, computationally intensive task is ideally suited for artificial intelligence (AI), yet the methodologies have not changed for decades. Due to the lack of a scalable process for clinicians and their staff to match patients with trials, the task often requires manual chart reviews. Consequently, some patients fall through the cracks and miss out on potentially life-altering treatments.
UNDERSTANDING PRISM
Watch our VP of Clinical Data, Regina Schwind, as she introduces Prism, our trial enrollment solution, and explains how we collaborate with various organizations.
HOW IT WORKS
Powered by OncoLLM, Prism can manage various approaches and challenges related to clinical trial enrollment. The platform is designed to help match patients with trials and vice versa, among other capabilities:
OUR RESULTS
We measured the performance of our platform in accurately identifying trials for patients at a cancer center with hundreds of ongoing oncology trials. Our system achieved an accuracy of over 95% in identifying the correct trial within its top three recommendations, accomplishing this in just minutes. You can learn more at this link.
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WE DESIGNED OUR PLATFORM TO BE
Proactive
The system continually tracks upcoming or recent appointments and radiology results, and provides an in-basket notification to the clinician and study team when a match is found.
Comprehensive
Prism works across your entire portfolio, including federally funded, investigator-initiated, and industry-sponsored trials.
Compatible
We integrate with existing EHRs, including Epic, Cerner, OncoEMR and more, and are approved and available on Epic's app marketplace.
Scalable
Prism doesn't require complex, study-specific builds, letting you go-live with all your studies on Day 0.
Accurate
Our published data shows that our models outperform larger language models and traditional NLP solutions.
Accessible and Equitable
At-scale prescreening of patients from underserved communities enables research teams to meet their diversity enrollment targets, increasing cancer trial access and equity.
Patient-to-Trial Matching
Screen patients with upcoming appointments for all locally ongoing trials.
Proactive
The system continually tracks upcoming or recent appointments and radiology results, and provides an in-basket notification to the clinician and study team when a match is found.
Compatible
We integrate with existing EHRs, including Epic, Cerner, OncoEMR and several others,and are approved and available on Epic's app marketplace.
Accurate
Our published data shows that our models outperform larger language models and traditional NLP solutions.
Comprehensive
Ability to utilize Prism across your entire portfolio, including federally funded, investigator initiated and sponsor led trials.
Scalable
Prism doesn't require complex, study-specific builds, letting you go-live with all your studies on Day 0
More Accessible and Equitable
At-scale pre-screening of patients from under-served communities enables the research teams to meet their diversity enrolment targets, increasing access and equity in cancer trials.
OUR SOLUTION
We designed our platform to be:
WHY PRISM