Custom CSS
double-click to edit, do not edit in source
11/19/2025 |
9:45 AM – 11:00 AM |
Room 5
S111: Patchwork to Platform: Weaving Together the Health Data Fabric
Presentation Type: Oral Presentations
Health Information Organizations: Current Landscape and Future Participation in Federal Exchange
Presentation Time: 09:45 AM - 09:57 AM
Abstract Keywords: Interoperability and Health Information Exchange, Policy, Surveys and Needs Analysis
Primary Track: Policy
The Trusted Exchange Framework and Common Agreement (TEFCA) launched in 2023 to enable nationwide health information exchange. Health information organizations (HIOs) could be important contributors to TEFCA. A 2023 survey of HIOs indicated that the number of HIOs continues to decrease. 63% of HIOs planned to participate in TEFCA, and 32% indicated that they did not know if they would participate. HIOs engaged in exchange with other networks were most likely to plan to participate.
Speaker:
Jordan
Everson,
PhD
Office of the Assistant Secretary for Technology Policy
Authors:
Wei Chang, MPH - ASTP;
Vaishali Patel, PhD MPH - Assistant Secretary for Technology Policy/ Office of the National Coordinator for Health IT;
Julia Adler-Milstein, PhD, FACMI - UCSF School of Medicine;
Jordan
Everson,
PhD - Office of the Assistant Secretary for Technology Policy
Interpretable Machine Learning Models for Predicting Organ Rejections for Pediatric Heart Transplantations with a Combined Use of Electronic Health Records and Transplant Registry Data
Presentation Time: 09:57 AM - 10:09 AM
Abstract Keywords: Clinical Decision Support, Machine Learning, Natural Language Processing, Informatics Implementation, Real-World Evidence Generation
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
This study integrates EHR, UNOS, and social determinants data to predict pediatric heart transplant rejection at 1-, 3-, and 5-year intervals. Machine learning models with ShapleyVIC interpretation improve accuracy and highlight key clinical and social predictors, enhancing personalized post-transplant care.
Speaker:
Balu
Bhasuran,
Ph.D
Florida State University
Authors:
Balu Bhasuran, Ph.D - Florida State University;
Xiaoyu Wang,
MS -
Florida State University;
Dipankar Gupta, MD;
Michael Killian,
PhD -
Florida State University;
Zhe He, PhD, FAMIA - Florida State University;
Balu
Bhasuran,
Ph.D - Florida State University
Systematic Development of a Shared Registry Model for the American Academy of Orthopaedic Surgeons' Five Registries
Presentation Time: 10:09 AM - 10:21 AM
Abstract Keywords: Data Modernization, Knowledge Representation and Information Modeling, Data Standards, Delivering Health Information and Knowledge to the Public, Data Sharing, Change Management
Primary Track: Foundations
Programmatic Theme: Clinical Informatics
The AAOS modernized its five orthopedic registries by transforming them into a generalized, unified registry metamodel that facilitates mappings to FHIR and terminology standards. This metamodel simplifies registry management and automates the generation of significantly improved data submission formats. Future phases will leverage FHIR resources for automated data population and support OMOP representations through FHIR transformation. This enhances data interoperability, streamlines analysis, and ultimately improves orthopedic patient care and evidence-based practices.
Speaker:
James
Shalaby,
PharmD
Elimu Informatics Inc.
Authors:
Edna Shenvi, MD, MAS - Elimu Informatics Inc.;
Randolph Barrows, MD, MS, FAMIA - Elimu Informatics, Inc.;
Reagan Bayer,
MBA -
American Association of Orthopaedic Surgeons;
Ifunanya Ezeumeh,
BPharm, MSHI2 -
American Association of Orthopaedic Surgeons;
James
Shalaby,
PharmD - Elimu Informatics Inc.
INTERPOLAR - A framework for federated integrated studies on IT-supported healthcare
Presentation Time: 10:21 AM - 10:33 AM
Abstract Keywords: Healthcare Quality, Information Extraction, Real-World Evidence Generation, Patient Safety, Interoperability and Health Information Exchange
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics
INTERPOLAR is a framework for embedded studies in routine care, enabling multi-center evaluation of pharmacist-proposed interventions using IT-supported triggers for patients at risk and medication-related problems. It integrates EMR data with structured study documentation and algorithm plausibility assessment. The project is currently deployed at 14 German university hospitals with over 60,000 patients to be enrolled. INTERPOLAR supports real-time and retrospective intervention analysis and lays the groundwork for large-scale evidence generation in routine care settings.
Speaker:
Daniel
Neumann,
Medical Informatics and Data Science
University Leipzig, Medical Faculty
Authors:
Daniel Neumann, Medical Informatics and Data Science - University Leipzig, Medical Faculty;
Sebastian Stäubert,
- -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Tatjana Beppler,
- -
Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany;
Miriam Kesselmeier,
Dr. -
Institute of Medical Statistics, Computer and Data Sciences, Jena University, Germany;
Florian Schmidt,
- -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Alexander Strübing,
- -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Marcel von Borzestowski,
- -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany;
Matthias Reusche,
- -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany;
Frank Meineke,
Dr. -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Martin F. Fromm,
Dr. -
Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU);
Ulrich Jaehde,
Dr. -
Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Germany;
Petra Thürmann,
Dr. -
Department of Clinical Pharmacology, School of Medicine, Faculty of Health, Witten/Herdecke University;
Hanna M. Seidling,
Dr. -
Heidelberg University / Medical Faculty, Heidelberg University Hospital, Internal Medicine IX – Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg;
Tobias Dreischulte,
Dr. -
Institute of General Practice and Family Medicine, University Hospital of Ludwig-Maximilians-University Munich, Germany;
Frank Doerje,
Dr. -
Pharmacy Department, Erlangen University Hospital, Erlangen, Germany;
Renke Maas,
Dr. -
Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (FAU);
André Scherag,
Dr. -
Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Jena, Germany;
Markus Loeffler,
Dr. -
Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany;
Daniel
Neumann,
Medical Informatics and Data Science - University Leipzig, Medical Faculty