IEEE CBMS 2026 Special Track
Interoperability and Federated Analytics in Biomedical Data Using OMOP CDM
Join leading experts to advance collaborative, data-driven healthcare research through standardized biomedical data integration
IEEE Standard Formatting • Peer-Reviewed • Indexed in IEEE Xplore
About the Track
Advancing the future of healthcare through interoperable data standards and federated analytics
This Special Track seeks original contributions that explore novel methodologies, uses, implementations, tools, and evaluations of OMOP CDM in biomedical research.
We invite submissions that describe case studies, system architectures, methodological advances, or integration efforts involving OMOP CDM in clinical, epidemiological, or translational research.
Topics of Interest
Topics of interest include (but are not limited to):
- ETL pipelines and tooling for OMOP CDM
- Semantic harmonization and vocabulary mapping
- Interoperability and data quality evaluation
- Privacy-preserving analytics and federated learning on OMOP networks
- Integration of genomic, imaging, or wearable data with OMOP
- Real-world evidence generation using OMOP-based cohorts
- OMOP CDM extensions and customizations
- Experiences from national and international OHDSI networks
- Evaluation metrics and benchmarking approaches for OMOP ETL
- FAIRification of clinical data using OMOP
Important Dates
Mark your calendar with these key deadlines for IEEE CBMS 2026
Step 1
Paper Submission
February 20, 2026
Submit your full paper via IEEE submission portal
Step 2
Notification
April 10, 2026
Authors notified of acceptance decision
Step 3
Camera-Ready
April 24, 2026
Final version submission deadline
Step 4
Conference
June 03-05, 2026
Join us at IEEE CBMS 2026
All deadlines are at 23:59 AoE (Anywhere on Earth)
Submission Information
Follow these guidelines to submit your research to the special track
Prepare Your Manuscript
Follow IEEE standard formatting guidelines for conference papers. The length of the contribution is limited to 6 pages, but it is possible to extend the paper length up to 8 pages by paying for each extra page.
Access Submission Portal
Submit your paper through the official IEEE CBMS 2026 submission system.
Go to Submission PortalSelect Special Track
During submission, make sure to select "Interoperability and Federated Analytics in Biomedical Data Using OMOP CDM" as your target track.
Peer Review Process
All submissions will undergo rigorous peer review by experts in the field. Authors will be notified of acceptance decisions by the notification date.
Track Organizers
Meet the distinguished organizers leading this special track
João Rafael Almeida
University of Aveiro
João is an Assistant Professor in the Department of Electronics, Telecommunications and Informatics (DETI) at the University of Aveiro (UA). His recent work focuses on data standardization, secure data sharing, and harmonization strategies within health research infrastructures.
José Luís Oliveira
University of Aveiro
José is a Professor at the University of Aveiro (UA), in the Department of Electronics, Telecommunications and Informatics (DETI). His research topics are related to information retrieval, information extraction, biomedical data integration, and knowledge discovery.
Giuseppe Placidi
University of L'Aquila
Giuseppe is an Associate Professor of Computer Science at the University of L'Aquila (Univaq). His research topics are deterministic algorithms and Al-based models for medical signal and image processing and interpretation.
Agma Traina
University of Sao Paulo
Agma is a Professor with the Mathematics and Computer Science Institute of the University of Sao Paulo (USP), Brazil. Her research interests are related to information retrieval, content-based image retrieval (CBIR), algorithms for computer-aided diagnosis (CAD) systems, and interoperability in databases.
Dani Prieto-Alhambra
University of Oxford
Dani is a Professor of Pharmaco- and Device Epidemiology at the University of Oxford and Erasmus MC. He is has expertise in cohort characterisation, development of prediction algorithms, and application of causal inference methods.
Special Track Program Committee
We are grateful for the support of our distinguished committee members.
Joel Arrais
University of Coimbra, Portugal
Luís Bastião
BMD Software, Portugal
Mirela Teixeira Cazzolato
University of Sao Paulo, Brazil
Marco Antonio Gutierrez
The Heart Institute, Brazil
Caetano Traina Junior
University of Sao Paulo, Brazil
Rui Lopes
Polytechnic Institute of Bragança, Portugal
Daniele Lozzi
University of L'Aquila, Italy
Sérgio Matos
University of Aveiro, Portugal
Enrico Mattei
University of L'Aquila, Italy
Matteo Polsinelli
University of Salerno, Italy
Jorge Silva
University of Aveiro, Portugal
Manuel Silva
Trustiant, Portugal