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

NCT06588452 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 4500

Last updated 2024-09-19

No results posted yet for this study

Summary

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.

Conditions

  • Comparing Manual and AI Patient Screening in Heart Failure

Interventions

OTHER

RECTIFIER - a generative artificial intelligence screening tool

RECTIFIER is a large-language model based, generative artificial intelligence-enabled inclusion and exclusion criteria assessment tool.

OTHER

Manual clinical trial screening by study staff

The current gold standard - study staff manually review potentially eligible patients through chart review.

Sponsors & Collaborators

  • Brigham and Women's Hospital

    lead OTHER

Principal Investigators

  • Benjamin M Scirica, MD, MSc · Brigham and Women's Hospital

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-03-04
Primary Completion
2024-09-13
Completion
2024-09-13

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06588452 on ClinicalTrials.gov