OHDSI National Node Hungary

Background

As more and more organizations are joining the OHDSI community, and the interest is growing around real-world evidence, the OHDSI National Node in Hungary aims to be a meeting point for Hungarian data partners, SMEs, and other Hungary-based organizations interested in OHDSI.

Objectives

Mission and Vision

We aim to adopt OHDSI’s mission, vision, and values in Hungary. Our mission is to unite Hungarian stakeholders in health data science in a collaborative network, adopting the OHDSI framework to enhance data quality and support impactful research.

Specific Objectives

Form a Hungarian OHDSI multi-stakeholder interest group and have regular calls.
Mapping Hungarian codes to OMOP CDM vocabularies and maintaining the mappings.
Develop OMOP infrastructure for Hungarian hospitals, including ETL processes and vocabulary enhancements.
Assisting each other in the ETL process.
Discussing and handling issues related to Hungarian data security laws and ethics.
Participate in EMA and other international studies.
Initiate and participate in national research collaborations, aligning with European and global OHDSI initiatives.

Node Members

Leading Organization

Semmelweis University

Hungary, 1085 Budapest, Üllői út 26.

Contact persons:

Zsolt Bagyura, Ágota Mészáros: This email address is being protected from spambots. You need JavaScript enabled to view it.

Members

Member	Type of organization	URL	Contact person
Semmelweis University	Data Partner	https://semmelweis.hu/	Zsolt Bagyura, Ágota Mészáros
University of Pécs	Data Partner	https://pte.hu/hu	Sándor Kovács, Tibor Héja
E-Group	SME	https://www.egroup.hu/hu/	Kuthy Antal
Asseco CE Hungary	SME	https://asseco.hu/	Bálint Morvai
Roche Hungary Ltd	Pharma and medtech company	https://www.roche.hu/	Péter Bezzegh
IQVIA Hungary	Research organisation	https://www.iqvia.com/locations/hungary	Bibity Zsolt

Data Partners

Data Partner	Type of data	OMOP-CDM status
Semmelweis University	EHR	OMOP CDM 5.3
University of Pécs	EHR	OMOP CDM 5.3

Publications

Mészáros, Á., Kovács, S., Héja, T., Bagyura, Z., & Zemplényi, A. (2023). Mapping Hungarian procedure codes to SNOMED CT. BMC medical research methodology, 23(1), 240.

https://doi.org/10.1186/s12874-023-02036-x

How to contribute?

If you are interested in joining OHDSI Hungary, please send us an email: This email address is being protected from spambots. You need JavaScript enabled to view it.