The Evolving Landscape of Biomedical Innovation

Presentation Type: Podium Abstract
2026 Symposium LIEAF Presentation

Presentation Time: 08:00 AM - 08:12 AM

Abstract Keywords: Data Mining, Large Language Models (LLMs), Qualitative Methods
Programmatic Theme: Academic Informatics / LIEAF

Understanding how scientific innovation evolves over time remains challenging as biomedical literature grows rapidly. We introduce NOBL, a human-AI collaboratively developed taxonomy for characterizing novelty in biomedical research. Applying NOBL to 2.37 million novelty claims from 36.5 million PubMed articles reveals a long-term shift in innovation patterns. Empirical discoveries declined over the past five decades, while methodological and conceptual innovations increased, reflecting the growing influence of computational approaches.

Speaker(s):
Xueqing Peng, PhD
Yale University
Author(s):
Xueqing Peng, PhD - Yale University; Huan He, Ph.D. - Yale University; Rui Shi, none - Yale University; Vipina K. Keloth, PhD - Yale University; Lingfei Qian, PHD - Yale University; Yan Hu, PhD - IMO Health; Ruey-Ling Weng, MS. - Yale University; Jimin Huang, MS - Yale University; Qianqian Xie, PhD - Yale University; Fares Alahdab, MD, MS, MSc, FAHA - University of Missouri; Erin Leahey, PhD - University of Arizona; Brian Ondov, PhD - Yale School of Medicine; Qiaozhu Mei, Ph.D - University of Michigan; Na Hong, PhD - Yale University; Hua Xu, Ph.D - Yale University;

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Operationalizing the Undefined: How the Informatics Community Navigated Long COVID in N3C

Presentation Type: Podium Abstract

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Presentation Time: 08:12 AM - 08:24 AM

Abstract Keywords: Controlled Terminologies, Ontologies, and Vocabularies, Surveys and Needs Analysis, Infectious Diseases & Epidemiology, Data Standards, Evaluation
Programmatic Theme: Clinical Informatics

The COVID-19 infection may have long-term effects on patients, known as “Long COVID.” It is a complicated medical condition that did not have a clear definition for multiple years. We review the provisional definitions explored by works that operationalize “Long COVID” in empirical data analysis using data from the National COVID Cohort Collaborative. Our work gives insights into how the medical informatics community tackled label ambiguity in empirical data analysis.

Speaker(s):
Vibhor Gupta, Doctorate
UNC Chapel Hill
Author(s):
Safoora Masoumi, PhD - UNC Chapel Hill; Yue Wang, PhD - University of North Carolina At Chapel Hill;

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A Physician Interoperability Index for Longitudinal Measurement in Primary Care: Development and Findings

Presentation Type: Podium Abstract

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2026 Symposium 25x5 Presentation

Presentation Time: 08:24 AM - 08:36 AM

Abstract Keywords: Interoperability and Health Information Exchange, Quantitative Methods, Documentation Burden, Policy, Real-World Evidence Generation
Programmatic Theme: Clinical Informatics

Federal policy prioritizes interoperability, yet no longitudinal measure captures how physicians experience it in practice. Using responses from more than 8,000 family physicians, we developed and psychometrically tested a Physician Interoperability Index across frequency, ease, and satisfaction domains. The index measures key dimensions of interoperability experience and provides a streamlined, longitudinal approach to track interoperability progress. Findings reveal routine exchange activity but lower satisfaction with interoperability performance, indicating a gap between data availability and real-world usability.

Speaker(s):
Meghan Hufstader Gabriel, PhD
Office of the Assistant Secretary for Technology Policy
Author(s):
Meghan Hufstader Gabriel, PhD - Office of the Assistant Secretary for Technology Policy; Harry Pham, MS - ABFM; Wesley Barker, M.S. - US Department of Health and Human Services; Nathaniel Hendrix, PharmD, PhD - American Board of Family Medicine; Vaishali Patel, PhD MPH - Assistant Secretary for Technology Policy/ Office of the National Coordinator for Health IT; Robert Phillips, MD MSPH; Andrew Bazemore; Julia Adler-Milstein, PhD, FACMI - UCSF School of Medicine; Jordan Everson, PhD - Georgetown University School of Medicine;

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Toward a Learning Oral Health System: A Scoping Review and HL7 FHIR CDS Hooks Framework Proposal for Integrating Dental Clinical Decision Support into Medical EHR Workflows

Presentation Type: Paper - Student

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Presentation Time: 08:36 AM - 08:48 AM

Abstract Keywords: Interoperability and Health Information Exchange, Data Sharing, Informatics Implementation
Working Group: Dental Informatics Working Group
Programmatic Theme: Clinical Informatics

Dental and medical electronic health records remain operationally isolated despite robust evidence linking oral disease to systemic conditions, including diabetes, cardiovascular disease, and sepsis. No dental-specific HL7 CDS Hooks specifications have been published in the literature. We conducted a scoping review following PRISMA-ScR across six databases (2015–2026), yielding 64 articles across four thematic domains: dental EHR interoperability standards, SMART on FHIR adoption, CDS Hooks clinical evidence, and structural barriers. The HL7 Dental Data Exchange IG v2.0 provides FHIR R4 profiles but lacks production deployments; CDS Hooks increased SMART app utilization by 130% in medical settings, yet remain absent from dentistry. Drawing on these findings, we propose the Oral-Systemic CDS Hooks Framework, with four formally specified hooks that deliver real-time periodontal-diabetes, oral infection, and medication-safety alerts within existing EHR workflows, using current federal interoperability standards. This is the first dental CDS Hooks specification set and a standards-based path toward integrating oral health into Learning Health Systems.

Speaker(s):
Harsha Snitha Kamineni, MS in Health Informatics
Indiana University
Author(s):
Harsha Kamineni, Health Informatics- Masters - IUPUI;

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Clinical Research Informatics Year-in-Review 2025: Learning Health Systems via AI, Real-World Evidence, and Inclusive Design

Presentation Type: Podium Abstract
Presentation Time: 08:48 AM - 09:00 AM

Abstract Keywords: Real-World Evidence Generation, Data Standards, Clinical Decision Support, Data Sharing
Working Group: Clinical Research Informatics Working Group
Programmatic Theme: Clinical Research Informatics

Clinical Research Informatics (CRI) has evolved rapidly with AI advancements, real-world data (RWD) platforms, and equity-focused approaches. This narrative review by the AMIA CRI Working Group synthesizes high-impact 2023–2025 literature via expert selection and AI-assisted thematic analysis. Seven prioritized articles highlight three themes: AI-enhanced trial matching/recruitment, maturation of large-scale RWD infrastructures for evidence generation, and informatics strategies for health equity and patient engagement. Progress in efficiency and infrastructure persists alongside challenges in equity and implementation.

Speaker(s):
HUAN-JU (Coco) SHIH, Doctoral Candidate
George Mason University
Author(s):
Thomas Kingsley, MD MPH MS - UCLA; Barbara-Jo Achuff, Physician.MD - Vanderbilt University;

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Enterprise Evaluation of Oracle Clinical AI Agent Ambient Listening in the Military Health System Using Lights On Network and Cerner Advance Analytics: A Pragmatic Stepped-Wedge Trial

Presentation Type: Podium Abstract

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2026 Symposium 25x5 Presentation

Presentation Time: 09:00 AM - 09:12 AM

Abstract Keywords: Documentation Burden, Evaluation, Artificial Intelligence, Real-World Evidence Generation, Informatics Implementation, Workflow, Human-computer Interaction, Patient Safety
Programmatic Theme: Clinical Informatics

Clinical documentation burden threatens provider readiness across the Military Health System (MHS). We present a pragmatic retrospective observational cohort study evaluating the enterprise-wide rollout of the Oracle Clinical AI Agent (CAA) across 135 Military Treatment Facilities and approximately 30,000 clinicians. Using automated EHR audit-log telemetry from Lights On Network and Cerner Advance Analytics, we have constructed an analytic panel of 1.18 million provider-weeks across 26,102 providers and 68 weeks of observation. Comparative analysis are ongoing as the post-provisioning panel matures and will be fully presented at the symposium.

Speaker(s):
Morgan Carlile, MD
Defense Health Agency
Author(s):
Morgan Carlile, MD - Defense Health Agency; Scott Hopkins, MD - US Navy; James Wren, BS - Consortium for Health Services Research at the Uniformed Services University of the Health Sciences; Tracey Koehlmoos, PhD - Consortium for Health Services Research at the Uniformed Services University of the Health Sciences; Isaac Schwartz, MD, FACS - Defense Health Network - National Capital Region;

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