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The Office of the National Coordinator for Health IT is investing in cutting-edge technologies to enhance clinical care, data exchange, and lab interoperability. Here's what it means for patients and providers.
The Office of the National Coordinator for Health IT (ONC) has announced a $2 million grant program aimed at advancing healthcare technology and interoperability through its 2026 Leading Edge Acceleration Projects (LEAP) in Health IT. This funding opportunity is designed to support innovative solutions that can improve patient care, data exchange, and laboratory operations.
The primary goal of the LEAP initiative is to accelerate the adoption of standards-based agentic artificial intelligence (AI) technologies in clinical settings. ONC has set an award ceiling of $1 million for projects focused on developing open-source clinical AI tools. These tools are expected to enhance diagnostic accuracy, streamline workflows, and ultimately improve patient outcomes.
One of the key challenges in healthcare is ensuring that different systems can communicate effectively. To address this, LEAP also seeks to expand the API monitoring capabilities of Mettle Solutions' open-source tool, Lantern. This tool provides analytics on the availability and adoption of FHIR (Fast Healthcare Interoperability Resources) API endpoints across U.S. Healthcare organizations. With an award ceiling of $500,000, ONC is looking for applicants who can integrate secure, community-driven feedback into Lantern, complementing its existing automated checks.
Another critical area of focus is the development of tools to assess laboratory data quality and improve the adoption of standard codes by small independent laboratories. This initiative comes with a maximum award of $500,000. By enhancing data quality and interoperability in labs, healthcare providers can make more informed decisions based on accurate and reliable test results.
The importance of these projects cannot be overstated. In the latest edition of Impact in Focus, experts discuss how AI is moving from the lab into everyday care, highlighting the potential of wearable tech to predict health risks and improve patient outcomes. Similarly, building trustworthy health data for AI is crucial for ensuring that these technologies can be reliably deployed in real-world settings.

Public and private higher education institutions, Native American tribal governments, and nonprofits are eligible to apply for the LEAP grants. This broad eligibility reflects ONC's commitment to fostering innovation across diverse sectors of the healthcare industry.
The 2026 LEAP grant program represents a significant step forward in advancing healthcare technology and interoperability. By investing in open-source clinical AI tools, enhancing API monitoring capabilities, and improving laboratory data quality, ONC is laying the groundwork for a more connected and efficient healthcare system.
As these projects come to fruition, patients can expect to see improvements in diagnostic accuracy, streamlined care processes, and better overall health outcomes. For providers, the enhanced interoperability and data quality will lead to more informed decision-making and improved patient satisfaction.
The future of healthcare is increasingly intertwined with technology, and initiatives like LEAP are essential for ensuring that these advancements benefit all stakeholders. As we move forward, it's crucial to continue supporting research and development in this area to build a healthcare system that is both innovative and equitable.
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ONC offers $2M for next-generation healthcare technologies
↗ https://www.healthcareitnews.com/news/onc-offers-2m-next-generation-healthcare-technologies
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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