ACTIVATE: AI-driven Clinical-trial Trial-Information and Viability Assessment Tool for EHRs
Start Date
7/20/2026
Completion Date
6/30/2030
Summary
This study aims to develop and evaluate ACTIVATE, an AI-driven tool for clinical trial information and viability assessment using electronic health records (EHRs). The project will leverage retrospective and prospective EHR data to build and validate algorithms that identify potentially eligible participants for clinical trials and facilitate trial matching.
Detailed Description
ACTIVATE is a pragmatic health system intervention designed to improve clinical trial matching and accrual using AI-driven tools integrated with EHR data. The study will first retrospectively analyze data from approximately 70,000 participants who initiated new systemic therapy at Dana-Farber Cancer Institute since 2016 to develop and validate the MatchMiner-AI pipeline. For the prospective evaluation, all DFCI patients' medical record numbers (MRNs) will be randomized into control and intervention groups. The intervention group will receive proactive notifications to treating oncologists when AI models detect progressive disease and a high probability of starting new treatment, including a ranked list of potential clinical trial options. The control group will continue with standard MatchMiner-AI workflows.
Eligibility Criteria
Age Range: 18 years to No maximum
Interventions
MatchMiner-AI Artificial Intelligence Tool
Conditions
Locations
Dana-Farber Cancer Institute
Boston, Massachusetts 02215
United States