At a glance
ClinicalIndex Comparison RecordN/ACompleted· 355 enrolled
Drug / intervention
Chart reviewother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.
Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Assessing the Performance of Artificial Intelligence (AI)-Augmented Electronic Health Record (EHR) Data Abstraction for Clinical Trial Patient Screening
In Brief
An observational study evaluating Chart review for Cancer. Completed, enrolled 355 participants across 2 sites.
Detailed Summary
Identifying eligible patients is a key process in the clinical trial enterprise. Currently, this process relies on time-intensive manual chart review, creating a rate-limiting step for trial participation. The integration of AI technology into the trial screening process has potential to improve participation rates. This study aims to assess the performance (accuracy, efficiency) of AI-augmented patient identification and inform optimal integration into clinical research screening processes.
Study Details
Timeline
N/ACompletedFinished
202420252026
Enrollment StartAug 2023
Primary CompletionJul 2024
First PostedAug 2024
TodayJul 2026
First PostedAug 19, 2024
Enrollment StartAug 18, 2023
Primary CompletionJul 12, 2024
TodayJul 2, 2026
Enrollment to primary: 11 monthsPosted 1.9 years ago
Interventions
Chart reviewother
Chart review