HIPAA-Compliant Human-in-the-Loop Workflows in the Generative AI Lab

Learn how to implement human-in-the-loop workflows for de-identification tasks while meeting HIPAA compliance requirements, right inside the no-code interface of the Generative AI Lab. This session will demonstrate how structured human review can be integrated into sensitive data pipelines, ensuring regulatory-grade accuracy, oversight, and traceability.

Key capabilities that will be explained and demonstrated include:

• Human-in-the-Loop De-Identification: Use configurable workflows to enable human reviewers to verify, correct, or approve de-identification tasks, supporting high-accuracy output for protected health information (PHI).
• HIPAA-Grade System-Wide Audit: Ensure role-based recording of all activity within your human-in-the-loop de-identification projects, with immutable logs that support regulatory reviews and internal compliance checks.
• Audit Dashboards: Gain real-time visibility into reviewer activity, approval workflows, and system behavior through powerful dashboards built for audit-readiness and operational insight.

Whether you’re a compliance officer, data steward, or product owner working with PHI, this session will equip you with practical tools and insights for deploying secure, auditable de-identification pipelines at scale.