Unleashing Innovation: HL7 AI Challenge Winners Transforming Healthcare with Standards-Based AI

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Description

This on-demand session highlights the inaugural HL7 AI Challenge winners, organizations proving that healthcare AI can be powerful and trustworthy when built on open standards. Moderated by HL7 Chief AI Officer Dan Vreeman, DPT, the webinar features three teams delivering practical, standards-aligned solutions that move beyond prototypes and into real-world impact.

The program includes:

• Overall Winner: Quantek Systems, Inc. – dynaMap AI. A clinical workflow engine using active inference to guide patient-specific decisions.
• Overall Winner: Verto Health – VERTO Connect. A standards-based approach to structuring and integrating healthcare’s vast unstructured data assets.
• Excellence in AI Transparency & Trust: Trisotech – Standardizing Clinical Autonomy: BPM+ Determinism and HL7 Integration for AI Agents. Trisotech demonstrates how deterministic BPM+ models, HL7 integration patterns, and explicit decision logic create AI agents that remain explainable, governable and clinically trustworthy. This submission showcases how decision-centric orchestration and transparent reasoning can extend clinical autonomy safely while meeting governance expectations.

You will see how HL7 standards are enabling scalable, interoperable and verifiable AI solutions that improve clinical workflows, enhance data usability and support responsible adoption across the health ecosystem. This session is relevant for developers, clinicians, policymakers and health IT leaders who want a clear view of where healthcare AI is heading and what “good” looks like in practice.