Governance-First Deployment of the Aims Innovations Research Management System to Accelerate Participant-Based Public...

Area of Science:

• Health Services Research
• Clinical Informatics
• Artificial Intelligence in Healthcare

Background:

• Participant-based research often involves fragmented and inefficient operational workflows.
• Managing the participant lifecycle, from outreach to follow-up, presents significant logistical challenges.

Purpose of the Study:

• To describe the implementation of a unified, cloud-based platform, the Aims Innovations Research Management System.
• To detail the integration of artificial intelligence (AI) agents for enhanced participant engagement and study operations.

Main Methods:

• Implementation of a cloud-based platform with AI agents for participant outreach, screening, consent, and follow-up.
• Inclusion of robust controls: private AI endpoints, study isolation, human handoff protocols, HIPAA safeguards, and audit logging.
• Deployment across 10 academic institutions with diverse research designs following governance reviews.

Main Results:

• Successful initiation of studies across 10 academic institutions as of June 2026.
• An initial pilot study indicated potential efficiency gains in participant-based research operations.
• The platform demonstrated capability in managing the participant operations pipeline.

Conclusions:

• The Aims Innovations Research Management System offers a unified approach to address fragmented workflows in participant-based studies.
• The integrated AI agents and operational safeguards show promise for improving research efficiency.
• Further multisite evaluation is warranted to confirm and quantify efficiency gains.