Dana-Farber Cancer Institute
Boston, Massachusetts, 02215, United States
NCT Number: NCT07232043
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.
Trial opening soon.
Get NotifiedACTIVATE 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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Oncologists receive email notifications containing a ranked list of potential clinical trial options when AI models detect progressive disease, in addition to standard MatchMiner-AI access.
Other names: MatchMiner-AI Pipeline
Time frame: Assessment will occur at the end of the 1.5 year duration of the intervention.
The effect of TrialMatch notifications is defined as the proportion of new systemic therapy starts which are clinical trials.
Time frame: Assessment will occur at the end of the 1.5 year duration of the intervention.
The effect of TrialMatch notifications is defined as the proportion of new systemic therapy starts which are clinical trials. The outcome will be stratified by race categories of: American Indian/Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, Black or African America, White, and More than One Race.
Time frame: Assessment will occur at the end of the 1.5 year duration of the intervention.
The effect of TrialMatch notifications is defined as the proportion of new systemic therapy starts which are clinical trials. The outcome will be stratified by ethnicity (Hispanic or non-Hispanic)
Time frame: Assessment will occur at the end of the 1.5 year duration of the intervention.
The effect of TrialMatch notifications is defined as the proportion of new systemic therapy starts which are clinical trials. The outcome will be stratified by Age categories of: 18-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, 80-89 years, and 90+ years.
Contact information is provided by the study sponsor or research team.
Dana-Farber Cancer Institute
Other
AI-driven Clinical-trial Trial-Information and Viability Assessment Tool for EHRs (ACTIVATE)
Acronym: ACTIVATE
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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