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  • WA Health Summary: Individually Controlled Sharing as a Public Health Service

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11/17/2025 | 8:00 AM – 9:15 AM | M102

S20: Demonstrations of Real-World Public Health Information Systems


Presentation Type: Systems Demonstration

Implementation of ICOPE in New Mexico

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Presentation Time: 08:00 AM - 08:18 AM

Abstract Keywords: Mobile Health, Public Health, User-centered Design Methods, Healthcare Quality, Social Media and Connected Health, Patient / Person Generated Health Data (Patient Reported Outcomes)
Primary Track: Applications
Programmatic Theme: Public Health Informatics

Patient-facing decision support systems (PDSS) enhance patient engagement by integrating individuals into their care decisions. While clinical decision support systems are widely used, PDSS remains underutilized. We developed a mobile health application based on the World Health Organization’s Integrated Care for Older People (ICOPE) framework to empower seniors in New Mexico. This PDSS allows self-assessment of intrinsic capacities, provides personalized recommendations, and facilitates early intervention, promoting informed decision-making and proactive health management for aging populations.

Speaker:
ISHAN PATEL, MD
University of New Mexico

Authors:
Giselle Rodriguez de Sosa, MD - University of New Mexico; Debra Waters, PhD - University of New Mexico; Annashia Shera, MS, MD - University of New Mexico; Elizabeth Jimenez, PhD, MS, RDN - University of New Mexico; David Scrase, MD, MHSA, MACP - University of New Mexico;

ISHAN PATEL, MD - University of New Mexico
HepPlus: A Nationwide E-Registry, Clinical Decision Support, and E-Consultation Platform for Hepatitis Screening and Management

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Presentation Time: 08:18 AM - 08:36 AM

Abstract Keywords: Chronic Care Management, Informatics Implementation, Public Health, Clinical Decision Support, Population Health, Workflow, Cancer Prevention, Delivering Health Information and Knowledge to the Public
Primary Track: Applications
Programmatic Theme: Public Health Informatics

HepPlus is a nationwide digital health platform integrating an e-registry, clinical decision support (CDS), and e-consultation system to enhance screening and treatment of viral hepatitis B and C and hepatocellular carcinoma (HCC). The system streamlines patient identification, risk stratification, and specialist consultations, aiming to reduce disease burden and improve care coordination. This demonstration will showcase HepPlus’s key functionalities, its impact on screening workflows, and its scalability for broader public health applications.

Speaker:
Pitchaya Chairuengjitjaras, MD, MSPH in Health Informatics
Yale University

Authors:
Pitchaya Chairuengjitjaras, MS in Health Informatics - Yale University; Pisit Tangkijvanich, MD - Chulalongkorn University; Ketsarapohn Sudchit, BS - Chulalongkorn University; Nattapat Boonsiripiyachok, RN - Chulalongkorn University;

Pitchaya Chairuengjitjaras, MD, MSPH in Health Informatics - Yale University
SmartChart Platform: Public Health Surveillance Registry Powered by AI, OMOP, and FHIR

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Presentation Time: 08:36 AM - 08:54 AM

Abstract Keywords: Public Health, Large Language Models (LLMs), Standards, User-centered Design Methods
Primary Track: Applications
Programmatic Theme: Public Health Informatics

The resurgence of syphilis in the United States presents a significant public health challenge. Much of the information needed for syphilis surveillance resides in electronic health records (EHRs) in both structured and unstructured form. For this systems demonstration, we will present an open-source public health surveillance registry platform that integrates FHIR, OMOP, and generative AI to support automated extraction of syphilis data from EHRs as well as population-level querying using natural language.

Speakers:
Jon Duke, MD
Georgia Tech Research Institute

Andrew Stevens, MS
Georgia Institute of Technology

Authors:
Jon Duke, MD - Georgia Tech Research Institute; Charity Hilton - Georgia Tech Research Institute; Michael Riley, M.S. - Georgia Tech Research Institute; Myung Choi, Ph. D. - Georgia Institute of Technology; Elizabeth Shivers, MS - Georgia Tech Research Institute; Plamen Tassev, MS - Georgia Tech Research Institute; Andrew Stevens, MS - Georgia Institute of Technology; Alejandro Pérez; Andre Berro, MPH - CDC; Jane Yang, MPH; Saugat Karki, MD, MS - US Centers for Disease Control and Prevention; David Alexander Jackson, MD, MPH - US Centers for Disease Control and Prevention;

Jon Duke, MD - Georgia Tech Research Institute
Andrew Stevens, MS - Georgia Institute of Technology
WA Health Summary: Individually Controlled Sharing as a Public Health Service

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Presentation Time: 08:54 AM - 09:12 AM

Abstract Keywords: Data Sharing, Public Health, Delivering Health Information and Knowledge to the Public, Informatics Implementation, Information Retrieval, Interoperability and Health Information Exchange, Patient / Person Generated Health Data (Patient Reported Outcomes), Population Health
Primary Track: Applications
Programmatic Theme: Public Health Informatics

WA Health Summary is a standards-based system that gives Washington State residents the ability to combine personal health data from healthcare organization and public health sources, to add their own information, and to electively share verified summaries. The system uses HL7 FHIR standards for the International Patient Summary and SMART Health Links, with links to EHRs, insurance, POLST and other systems, also benefiting public health. The precursor system is used by two million residents.

Speaker:
Bill Lober, MD
University of Washington

Authors:
Justin McReynolds, MS - University of Washington; Chris Baumgartner, BS - Washington State Department of Health; Daniel Lorigan, BS - University of Washington; Sierramatice Karras, BS; Brittany Onye, MPH - Washington State Department of Health; Bryant thomas Karras MD, MD FACMI - WA State Dept of HEALTH; Bill Lober, MD, FACMI - University of Washington;

Bill Lober, MD - University of Washington

WA Health Summary: Individually Controlled Sharing as a Public Health Service

Category

Systems Demonstration

Description

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Date: Monday (11/17)
Time: 8:00 AM to 9:15 AM
Room: M102

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11/17/2025 09:15 AM (Eastern Time (US & Canada))


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