Clinical Connect - October 1, 2026

Agentic AI-Powered Clinical Data Review: From Manual Listings to Guided Oversight

How Signals Clinical™ + Spotfire® help clinical teams generate listings faster, improve traceability, and make more confident review decisions with human-in-the-loop AI.

Clinical data review often begins with labor-intensive, manual listing generation and fragmented workflows that slow decision-making and weaken traceability. This presentation introduces an agentic, AI-powered approach to modernizing clinical data review shifting teams from static, manually produced listings to guided, reviewer-controlled oversight.

With Signals Clinical™ integrated with Spotfire®, clinical teams can generate line listings using natural-language prompts through the AI Listings Generator, then seamlessly transition into the structured Line Listing Review experience. Reviewers retain control throughout the workflow by marking rows, adding notes, raising issues, and posting queries. Review activity is captured to support audit-ready, end-to-end traceability.

By combining AI-generated outputs with interactive visual analytics and collaborative review mechanisms, this approach improves traceability and accelerates progress from identified findings to documented issues and queries. Additional capabilities such as exportable outputs, exportable issue tracking (including comments), on-demand checks before issue creation, and bulk line listing review help teams improve efficiency while sustaining high-quality, human-led review decisions at scale.