Manual Versus AI-Assisted Clinical Trial Screening Using Large-Language Models

Part of paid clinical trials in Boston, Massachusetts.

Sponsor
Brigham and Women's Hospital
Study ID
NCT06588452
Status
Recruiting

Conditions

  • Comparing Manual and AI Patient Screening in Heart Failure

Eligibility Criteria

Sex
ALL
Age
18 Years - 90 Years
Healthy Volunteers
Accepted

Interventions

  • RECTIFIER - a generative artificial intelligence screening tool — OTHER
    RECTIFIER is a large-language model based, generative artificial intelligence-enabled inclusion and exclusion criteria assessment tool.
  • Manual clinical trial screening by study staff — OTHER
    The current gold standard - study staff manually review potentially eligible patients through chart review.

Study Details

A prospective randomized controlled trial comparing manual review and AI screening for patient eligibility determination and enrollments. A structured query will identify potentially eligible patients from the Mass General Brigham Electronic Data Warehouse (EDW), who will then be randomized into either the manual review arm or the AI-assisted review arm.

Key Dates

First listed
Sep 19, 2024
Start date
Mar 4, 2024
Status verified
Sep 2024
Primary completion
Sep 13, 2024
Completion
Sep 13, 2024

Study Design

Enrollment
4,500 participants (estimated)

Arms

  • Arm: Manual Review Arm
    Study staff manually reviews patient eligibility.
  • Arm: Artificial Intelligence (AI) Review Arm
    AI screens for eligibility, followed by an abbreviated final review by study staff.

Primary Outcome Measure

Determine study eligibility, analyzed using a survival analysis framework, specifically the Fine-Gray subdistribution hazards model, to account for competing risks. [ Time Frame: Through study completion, an average of 6 months ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Brigham and Women's HospitalBostonMassachusetts02115
Alexander J Blood, MD, MSc
617-732-7144

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