Webinar about: "Federated Research: Opportunities for Health System Comparison"

Teachers

Enrique Bernal Delgado
https://www.linkedin.com/in/enrique-bernal-delgado-91577b25b/
https://orcid.org/0000-0002-0961-3298
Senior scientist in Health Services and Policy Research
Aragones Institute of Health Sciences. Instituto Aragonés de Ciencias de la Salud (IACS)
Full time researcher.

Francisco Estupiñan Romero
linkedin.com/in/pacoramon
https://orcid.org/0000-0002-6285-8120
Senior Research Technical Support Advisor
Aragones Institute of Health Sciences. Instituto Aragonés de Ciencias de la Salud (IACS)
Full time researcher.

EU Research projects where they have been leading and participating:
AtlasVPM https://www.atlasvpm.org
ECHO-Health http://www.echo-health.eu
CHRODIS-JA e investigador en el proyecto CRHODIS-JA+ http://chrodis.eu
BRIDGE-Health www.bridge-health.eu
InfAct-JA https://www.inf-act.eu
ICTUSnet Sudoe http://ictusnet-sudoe.eu/en
EU PHIRI https://www.phiri.eu
EU HealthyCloud https://healthycloud.eu
Joint Action EU TEHDAS https://tehdas.eu
EU BY-COVID https://by-covid.org

Session presentation

Developing a Learning Health System requires the secondary use of health data for research. Researchers can use a federated analytical approach to access and analyze vast amounts of health data while maintaining patient privacy and data security. This method allows for collaborative studies across multiple institutions without centralizing sensitive information, thus enhancing the robustness and diversity of research findings. Embracing this innovative approach can lead to groundbreaking discoveries, improved patient outcomes, and a deeper understanding of complex health issues.

In this session, we will review some case studies enabled by the federated research approach leveraging health data. Finally, we will delve into the interoperability challenges and the workflow required to solve those challenges to advance research reusing health data.

References

• González-García J, González-Galindo J, Estupiñán-Romero F, Thissen M, Lyons RA, Telleria-Orriols C, Bernal-Delgado E. PHIRI: lessons for an extensive reuse of sensitive data in federated health research European Journal of Public Health 2024 (in press) doi: 10.1093/eurpub/ckae036. [https://cienciadedatosysalud.org/publicaciones/phiri-lessons-for-an-extensive-reuse-of-sensitive-data-in-federated-health-research/]
• Meurisse M, Estupiñán-Romero F, González-Galindo J, Martínez-Lizaga N, Royo-Sierra S, Saldner S, Dolanski-Aghamanoukjan L, Degelsegger-Márquez A, Soiland-Reyes S, Van Goethem N, Bernal-Delgado E; BeYond-COVID project. Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessment. BMC Med Res Methodol. 2023 Oct 23;23(1):248. doi: 10.1186/s12874-023-02068-3
• “Ciencia de datos y salud” GitHub reps. https://github.com/cienciadedatosysalud?tab=repositories