OHDSI National Node Austria

Background 

The Austrian OHDSI Node was established to support ongoing national efforts regarding OHDSI OMOP Common Data Model (CDM) adoption. Various institutions across Austria are contributing to integrating structured clinical data, including electronic health records (e.g. ELGA) and patient-reported outcomes, into the OMOP framework. The node aims to coordinate the activities, promote collaboration, facilitate knowledge exchange, and connect Austrian stakeholders to the international OHDSI community.

Objectives 

  • Build a national community
    Create an open OHDSI Austria community where members (academia, healthcare, industry) share knowledge, tools, and best practices for health data standardization.

  • Support OMOP CDM adoption
    Support Austrian data holders (hospitals, registries, etc.) in mapping their data to the OMOP CDM. We will provide guidance on extract-transform-load (ETL) processes and OMOP vocabulary mapping, leveraging our own ETL experience (e.g. our evaluation of OMOP ETL tools).

  • Collaborative cross-institutional research
    Enable cross-institutional observational studies using standardized data. By connecting previously siloed datasets via the OMOP model, we can identify national research opportunities and perform studies with larger, more representative patient populations. OHDSI Austria will facilitate multi-center study collaborations within Austria and contribute to international network studies using OMOP data.

Leading Organisation

Medical University of Vienna, Center for Medical Data Science
Institute for Medical Information Management

Spitalgasse 23, Office 88.04.202, 1090 Vienna, Austria

T: +43 1 40400-66940

This email address is being protected from spambots. You need JavaScript enabled to view it.

Co-Leading Organisation

AIT Austrian Institute of Technology GmbH

Center for Health & Bioresources
Reininghausstraße 13/1, 8020 Graz, Austria
T +43 50550-2966

This email address is being protected from spambots. You need JavaScript enabled to view it.

Node Members

Name

Organisation

Adnan Jouned, Ph.D.

Medical University of Vienna

Prof. Georg Duftschmid, Ph.D.

Medical University of Vienna

Florian Katsch, MSc. (Ph.D. candidate)

Medical University of Vienna

Karl Kreiner, MS.c.

AIT Austrian Institute of Technology GmbH

Aaron Lauschensky

AIT Austrian Institute of Technology GmbH

Dieter Hayn, Ph.D.

AIT Austrian Institute of Technology GmbH

New members will be added once the node is established.

Data Partners

Data Source Name

Organisation

Data Type

# Patients

Link*

MUV-H2O-BC

Medical University of Vienna

Hospital Electronic Health Records of Breast Cancer Patients

8100

https://portal.ehden.eu/c/EHDEN/fingerprint/7dca311bd3601cdddd56ff0d5ca7a104/ /

MUV-H2O-IBD

Medical University of Vienna

Hospital Electronic Health Records of Inflammatory Bowel Disease Patients

5100

https://portal.ehden.eu/c/EHDEN/fingerprint/c5af5fef1edf1856f6d0b4b5f63414ec/

MUV-H2O-DM

Medical University of Vienna

Hospital Electronic Health Records of Diabetes Patients

1100

https://portal.ehden.eu/c/EHDEN/fingerprint/aaf80e8ce2f249acb72591d7c8d76446/

Publications

  • Katsch F., Hussein R., Stamm T., Duftschmid G., “Converting Health Level 7 Clinical Document Architecture (CDA) Documents to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by Leveraging CDA Template Definitions”, 2025,
    JAMIA Open 8(2):ooaf022, (2025)

  • A. Jouned et al., “PROMOP: Integrating Patient-Reported Outcomes for Metastatic Breast Cancer into the OMOP Common Data Model - 3rd Heidelberg Spring Symposium Medical Informatics,” 2025, doi: 10.11588/heidok.00036594.

  • A. Jouned, H. Düsseldorf, F. Katsch, M. Jafarpour, and G. Duftschmid, “Comparative Study of ETL Tools for Transforming Healthcare Data to the OMOP Common Data Model (CDM),” Stud Health Technol Inform, vol. 327, pp. 1238–1239, May 2025, doi: 10.3233/SHTI250590.

  • Katsch F., Hussein R., Duftschmid G., „Converting Entity-Attribute-Value Data Sources to OMOP’s CDM: Lessons Learned”, In Mantas J., Hasman A., Demiris G., Saranto K., Marschollek M., Arvanitis T.N., Ognjanović I., Benis A., Gallos P., Zoulias E., Andrikopoulou E. (Eds.) Digital Health and Informatics Innovations for Sustainable Health Care Systems. Proceedings of MIE 2024, Studies in Health Technology and Informatics 316, IOS Press, Amsterdam, 356–357, (2024)

  • Katsch F., Hussein R., Korntheuer R., Duftschmid G., „Converting HL7 CDA Based Nationwide Austrian Medication Data to OMOP CDM”, In Hägglund M., Blusi M., Bonacina S., Nilsson L. Madsen I.C., Pelayo S., Moen A., Benis A., Lindsköld L., Gallos P. (Eds.) Caring is Sharing –Exploiting the Value in Data for Health and Innovation. Proceedings of MIE 2023, Gothenburg, Sweden, 22–25 May 2023, Studies in Health Technology and Informatics 302, IOS Press, Amsterdam, 899–900, (2023)

  • A. Haberson, C. Rinner, A. Schöberl, and W. Gall, “Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model,” J Med Syst, vol. 43, no. 10, Oct. 2019, doi: 10.1007/S10916-019-1436-9,.

  • Baumgartner, M., Kreiner, K., Lauschensky, A., Jammerbund, B., Donsa, K., Hayn, D., ... & Schreier, G. (2024). Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses. Frontiers in Medicine, 11, 1301660.

  • Donsa, K., Mangesius, P., Lauschensky, A., Baumgartner, M., Tanjga, N., Beyer, S., ... & Kreiner, K. (2025). FOX BOXes as Fundamental Enablers for EHR-Standardised Data Sharing–Building the Austrian Health Data Donation Space. In dHealth 2025 (pp. 198-204). IOS Press.

  • Donsa, K., Kreiner, K., Hayn, D., Rzepka, A., Ovejero, S., Topolnik, M., ... & Schreier, G. (2024). Smart FOX–enabling citizen-based donation of EHR-standardised data for clinical research in Austria. In Digital Health and Informatics Innovations for Sustainable Health Care Systems (pp. 83-87). IOS Press.

How to contribute?

Joining Form:

https://docs.google.com/forms/d/e/1FAIpQLSc7NP4d5U9OSO7PrmD_3shMQ8oCRhWsyBmKR0CQPs-y3khKug/viewform?usp=sharing&ouid=114230740414287402017

Or contact the node responsible person:

Adnan Jouned, Ph.D. :  This email address is being protected from spambots. You need JavaScript enabled to view it.