Save the Date!

March 23 - 24, 2026

Hopkins Bloomberg Center
555 Pennsylvania Ave NW,
Washington, DC 20001

March 2026 Symposium

Who Should Attend

Researchers, clinicians, health system administrators, quality and safety improvement professionals, purchasers and payers of health care, public agencies, and electronic health record vendors and application developers.

Why Attend

The US morbidity coding system has served the nation for over a decade since the ICD-10-CM implementation. Attendees will explore advances in AI, automation, and interoperability to examine whether our disease classification systems are optimally positioned for the future.

This symposium offers an opportunity to connect with experts and stakeholders interested in the clinical utility, public health value, technical feasibility, and implementation realities to:

  • Explore how AI and automation can reduce clinician burden and improve outcomes

  • Learn from the lessons of ICD-10-CM implementation in the United States and from ICD-11 implementation experience internationally

  • Contribute to research priorities informing the future of disease classification

March 23, 2026 - Agenda (Eastern Time)

  • The Future of Large-Scale Clinical Data for Real-World Analytics: From fully-specified diagnostic sentences to computable data

    Over the past decade, the emergence of large-scale electronic medical records has enabled an unprecedented opportunity for longitudinal analysis of clinical events from real-world data. However, historical mechanisms for encoding such data into classifications impoverishes detailed analytics. New strategies for the systematic capture of clinical concepts, findings, diagnoses, and outcomes promise to address these historical shortcomings, enabling comprehensive clinical characterization that can support high-throughput data science.

    Keynote Speaker

    • Christopher G. Chute, Johns Hopkins University

  • Examining what current clinical classifications can and cannot do with discussion of emergent classification and terminology solutions for more complete capture of clinical information.

    Speakers:

    • Susan H. Fenton, McWilliams School of Biomedical Informatics at UTHealth Houston

    • June Bronnert, Intelligent Medical Objects (IMO)

    • Sue Bowman, American Health Information Management Association (AHIMA)

  • Opportunities to align and integrate precision-medicine based classifications encoded in biomedical ontologies and real-world data within the framework of the ICD.

    Speaker:

    • Melissa Haendel, UNC School of Medicine, Department of Genetics

    • Ada Hamosh, Johns Hopkins School of Medicine, McKusick-Nathans Department of Genetic Medicine

    • Peter Fish, Mendelian

  • Speakers:

    • Geoffrey M. Reed, Columbia University, Department of Psychology

  • Overviewing the opportunities, methodologies, and feasibility, of AI assisted coding of clinical records into post-coordinated expressions with classifications enriched with clinical terminology detail.

  • Speakers:

    • Patrick M. Romano, University of California, Davis, School of Medicine

March 24, 2026 - Agenda (Eastern Time)

  • Speakers:

    • Christopher G. Chute, Johns Hopkins University

  • In this session, the opportunities, challenges, and issues to be considered in order for U.S. policymakers to decide if a national linearization of ICD-11 should be developed will be discussed.

    Moderator: Sue Bowman, American Health Information Management Association (AHIMA)

    Panelists:

    • June Bronnert, Intelligent Medical Objects (IMO)

    • Denene Harper, American Hospital Association (AHA)

  • Speakers: TBD

  • From reactors to roadmap.

    Speakers:

    • Patrick M. Romano, University of California, Davis, School of Medicine

  • TBD

Request Invite