The Standard

If you’ve spent any time in healthcare over the past year, you’ve probably felt it: the energy, the urgency, the curiosity around AI. Everywhere you look, teams are experimenting with new models, exploring new use cases and imagining what care could look like if we finally had the right data in the right place at the right time.

But there’s also a shared realization emerging across the industry that AI can’t transform healthcare unless the data behind it is trustworthy, connected and interoperable.

That’s why HL7 International launched the 2026 HL7 AI Challenge, now officially open for submissions through June 30, 2026.

Why an HL7 AI Challenge?

Last year’s inaugural Challenge showed us something powerful: when innovators build on HL7 standards, they can move faster, scale more easily and create solutions that actually work in the messy, real‑world environments where healthcare happens.

Healthcare organizations around the world are experimenting with AI, but many face the same barriers: fragmented data, inconsistent formats, and limited ability to integrate AI outputs into clinical systems. HL7’s standards are designed to address these challenges, making them a natural foundation for safe and effective AI adoption.

The HL7 AI Challenge aims to:

• Encourage innovation grounded in open, widely adopted standards
• Demonstrate how structured, interoperable data improves AI performance
• Highlight real‑world solutions that can scale across organizations and borders

New implementation community builds on global collaboration to improve
real-time device data exchange for AI-enabled care

Imagine a patient in an intensive care unit, monitored by a dozen devices generating streams of critical data every second.  From operating rooms and ICUs to ambulatory clinics and patient homes, clinicians and care teams rely on a growing ecosystem of medical and personal health devices. Now imagine that data is siloed, unable to flow into the EHR and unreachable by the analytics platform that might detect a dangerous trend before a clinician does.

This fragmentation is a well-known challenge in healthcare IT. On March 5, 2026, HL7 International took a major step toward solving it with the launch of the Caliper FHIR® Accelerator, a new implementation community dedicated to improving how data from medical and personal health devices is exchanged, integrated and used across healthcare systems. 

Why Caliper, and Why Now?

Caliper builds on HL7’s 2025 work with founding members to define a collaborative community focused on device interoperability. The need is clear: healthcare organizations are generating more high‑frequency device data than ever, but too often this information cannot flow cleanly into EHRs, analytics platforms or AI‑driven applications.

By leveraging HL7 FHIR alongside established device communication frameworks, Caliper aims to create a scalable, standards‑based foundation for real‑time device data integration. The goal is simple but transformative: ensure that data from critical care equipment and patient‑facing technologies can be shared consistently, reliably and safely.

“Healthcare systems are entering a new phase where access to high-quality, real-time data is essential to safely deploying advanced analytics and AI,” said Rachel Dunscombe, CEO of HL7 International. “The Caliper Accelerator represents an important step forward in ensuring that device-generated data, whether from critical care equipment or patient-facing technologies, can be shared and used consistently across care environments worldwide. This kind of foundational interoperability is critical to improving both clinical outcomes and operational resilience.”