HL7 AI
    Office

    HL7 Strategic Approach to AI

    The AI office positions HL7 at the forefront of healthcare's AI revolution, creating frameworks that ensure emerging technologies are trusted, explainable, interoperable, and scalable across clinical, operational, and research settings worldwide. As artificial intelligence rapidly transforms healthcare, the AI Office will serve as the hub for aligning emerging technologies with ethical frameworks, building trusted infrastructure, and ensuring AI delivers meaningful improvements in care quality, accessibility, and outcomes. 

    Four Strategic Pillars

    The AI Office will drive transformative impact through four strategic workstreams:

    Standards

    Building the AI-ready interoperability stack for safe, explainable AI with provenance capabilities that advance human health

    Global Leadership
    & Partnerships     

    Convening the worldwide AI+health community to align standards, shape policy, and accelerate responsible innovation 

    AI Innovation Lab 

    Incubating AI solutions to enhance member experiences, accelerate standards development, and pioneer new ways of working

    Community Excellence 

     Empowering implementers with tools and best practices for responsible, standards-powered AI deployment 

    Chief Artificial Intelligence Officer

    DanVreeman2

    Daniel Vreeman DPT, FHL7

    Daniel Vreeman - CAIO

    To lead this initiative, HL7 has appointed Daniel Vreeman, DPT, as its first Chief AI Officer (CAIO). Dr. Vreeman will expand his current role as Chief Standards Development Officer to drive HL7's comprehensive AI strategy, including the HL7 AI Challenge, anti-fraud initiatives, and collaborations with regulators and industry partners globally.

    HL7 Activities on AI

    Use of AI to Counter Fraud and Improve Payment Integrity
    AI Challenge
    • This global innovation competition is designed to spotlight the transformative potential of AI when powered by open health data standards, with a focus on the use of HL7 standards to power AI applications that solve real-world clinical, operational, or equity-focused problems. Solutions may include, but are not limited to, clinical decision support, ambient documentation, population health, predictive analytics, or bias mitigation strategies. 
    • Link to Challenge: info.hl7.org/ai-challenge

      AI Challenge

    AI Office Webinar

    July 24 at 1 pm ET

    Be part of the the conversation at our public webinar on July 24 at 1 pm ET to explore how the AI Office will help shape healthcare’s future. Click to register below and submit questions:

    HL7 AI Work Groups

    A list of existing AI projects is available in Confluence at: https://confluence.hl7.org/display/HAA additional work groups are invited to add their information to keep the HL7 Community up to date as well.