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Presentation Time: 01:00 PM - 04:00 PM

Abstract Keywords: Knowledge Representation and Information Modeling, Artificial Intelligence, Clinical Decision Support
Working Group: Knowledge Representation and Semantics Working Group
Primary Track: Applications

Knowledge representation and computation (e.g., embedding reasoning) is a core subfield of AI with a long history in biomedical informatics, dedicated to capturing and representing biomedical knowledge in a computable form. A key focus is providing machine-interpretable semantics that harmonize with real-world evidence (e.g., EHRs). Significant strides have been made using terminologies, ontologies, and knowledge bases across diverse applications—from personalized medicine to public health.

Real-world evidence in healthcare, drawn from sources like EHRs and claims data, is characterized by high variability and complexity. Such data are often fragmented, incomplete, and recorded in a mix of structured and unstructured formats, making it challenging to extract consistent, machine-interpretable semantics [1],[2]. Despite advances in curated semantic models, aligning them with the dynamic nature of clinical data remains problematic [3]. While data-driven approaches, including large language models, have greatly enhanced natural language processing, they alone do not fully address the nuanced challenges of integrating heterogeneous clinical data [4].

These persistent challenges call for innovative strategies beyond conventional data-driven methods. In particular, advanced knowledge representation and computation approaches offer promising solutions. This workshop invites submissions that demonstrate how these techniques can complement modern AI methods to bridge the gap between structured biomedical semantics and dynamic real-world evidence. Targeted presentations and panel-led discussions will focus on issues of understanding, consistency, and scalability in biomedical informatics.

The AMIA Knowledge Representation and Semantics Working Group (KRS-WG) has long supported researchers and practitioners in this field. By bringing together KRS-WG members and the broader informatics community, this workshop aims to disseminate new developments, enhance awareness of innovative methodologies, and foster interdisciplinary collaborations that advance biomedical informatics.

Speakers:
Nansu Zong, Ph.D.
Mayo Clinic

Jiang Bian, PhD
Indiana University

Chang Su, PhD
Weill Cornell Medicine

Rui Zhang, PhD, FAMIA, FACMI
University of Minnesota, Twin Cities

Mathias Brochhausen, Ph.D.
University of Arkansas for Medical Sciences

GQ Zhang, PhD
The University of Texas Health Science Center at Houston

Yuan Luo, PhD
Northwestern University

Authors:
Nansu Zong, Ph.D. - Mayo Clinic; Jiang Bian, PhD - Indiana University; Yuan Luo, PhD - Northwestern University; Rui Zhang, PhD, FAMIA, FACMI - University of Minnesota, Twin Cities; Chang Su, PhD - Weill Cornell Medicine; GQ Zhang, PhD - The University of Texas Health Science Center at Houston; Mathias Brochhausen, Ph.D. - University of Arkansas for Medical Sciences; Jonathan Bona, PhD - University of Arkansas for Medical Sciences (UAMS);

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