Development and Evaluation of a Human-in-the-Loop Data Curation Training Program to Support a Digital Clinical Trial...

Area of Science:

• Oncology
• Clinical Informatics
• Health Services Research

Background:

• The LookUpTrials platform facilitates point-of-care navigation of oncology clinical trials using AI.
• Sustaining high-quality, up-to-date trial data requires robust human infrastructure, which is underexplored.

Purpose of the Study:

• To evaluate the feasibility of a structured training program for oncology clinical trial data curation.
• To support the LookUpTrials digital platform through a supervised human-in-the-loop workflow.

Main Methods:

• A descriptive feasibility evaluation of a cohort-based training and workflow model.
• 10 undergraduate trainees curated trial data from institutional portals and ClinicalTrials.gov across 5 academic medical centers.

Main Results:

• Trainees curated 2503 oncology clinical trial entries over 10 months, with increasing processing rates.
• Participants found structured onboarding and peer support beneficial for engagement in data curation.

Conclusions:

• Human-in-the-loop workflows for clinical trial data stewardship are feasible with untrained individuals, given proper training and quality assurance.
• This study addresses the sustainability of the content pipeline for clinical trial knowledge tools, complementing previous work on platform integration.