OHDSI Denmark – National Node
Local Collaboration. European Impact.
The vision for establishing a Danish national OHDSI node is to help improve patient care through reliable evidence facilitated through the OMOP CDM with best practice methods and tools.
The node serves as a national forum where stakeholders can jointly identify needs and develop solutions needed to advance the OHDSI mission and vision, while coordinating activities between national and international collaborators.
A special emphasis is placed on identifying common areas of expertise that can support quality control processes and ensure the highest possible health data quality for research and clinical implementation.
Community Snapshot
29
Mailing list subscribers
4
Registry data partners
Monthly
National meetings
Cross-sector
Hospitals, academia, and agencies
The Danish Node brings together stakeholders from hospitals, academia, government agencies, and registry-based research to advance OMOP CDM adoption and data-driven medicine in Denmark.
Objectives
- Build the OHDSI Denmark community.
- Establish national standards for data transformation into the OMOP CDM to support clinical-grade evidence and the deployment of data-driven medicine.
- Advance the use of the OMOP CDM in Denmark and facilitate international collaboration.
Gallery
Focus areas
Other focus areas
- Registry data and national health data infrastructure
- Data quality assurance and quality control processes
- Clinical-grade evidence generation
- OMOP standardization for the deployment of data-driven medicine
- Prediction models and machine learning in perioperative and oncology settings
Data partners
- DCCG (CSS, Registry): rkkp-dokumentation.dk
- RLRR (CSS, Registry): sundhedsdatastyrelsen.dk
- DNPR (CSS, Registry): sundhedsdatastyrelsen.dk
- NPR (CSS, Registry): sundhedsdatastyrelsen.dk
Selected publications
- Vogelsang RP, Bojesen RD, Hoelmich ER, Orhan A, Buzquurz F, Cai L, et al. Prediction of 90-day mortality after surgery for colorectal cancer using standardized nationwide quality-assurance data. BJS Open. 2021;5(3).
- Lin V, Tsouchnika A, Allakhverdiiev E, Rosen AW, Gögenur M, Clausen JSR, et al. Training prediction models for individual risk assessment of postoperative complications after surgery for colorectal cancer. Tech Coloproctol. 2022;26(8):665–75.
- Hartwig M, Bräuner KB, Vogelsang R, Gögenur I. Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning. Int J Colorectal Dis. 2022;37(12):2517–24.
- Bräuner KB, Rosen AW, Tsouchnika A, Walbech JS, Gögenur M, Lin VA, et al. Developing prediction models for short-term mortality after surgery for colorectal cancer using a Danish national quality assurance database. Int J Colorectal Dis. 2022 Aug 1;37(8):1835–43.
- Justesen TF, Gögenur M, Clausen JSR, Mashkoor M, Rosen AW, Gögenur I. The impact of time to surgery on oncological outcomes in stage I-III dMMR colon cancer – A nationwide cohort study. Eur J Surg Oncol. 2023;49(9).
- Gögenur I. Introducing machine learning-based prediction models in the perioperative setting. Br J Surg. 2023;110(5):533–5.
How to join OHDSI Denmark?
Governance
- Lead Institution: Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark
- Node Lead: Ismail Gögenur
- Contact:
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The node follows an open governance model, with a core that coordinates regular meetings and correspondence with the international OHDSI community.
Join the OHDSI Community and select the Europe chapter:
www.ohdsi.org/community/Request to be added to the Danish mailing list:
Receive the invitation for the monthly call:
Participate in open national events and working groups.
Activities
Useful resources
- The GitHub repository for OHDSI Denmark: github.com/ohdsi-denmark
Upcoming events
- Join our monthly OHDSI Denmark meeting in MS Teams: every 1st Wednesday of the month between 15:00 and 16:00 here.
How to contribute
- If you would like to join OHDSI Denmark, please fill out this form: forms.office.com.
- If you would like to join the OHDSI MS Teams environment, please register at link and link (Please select “Europe” under the chapters section).
Contributing organizations (selected)
The Danish Node includes contributions from a broad mix of hospitals, universities, government agencies, and registry-based research environments. The selection below highlights active participants in Node activities and collaborations.
This is not an exhaustive list and will evolve as the community grows.
Connect to the Danish Node and find the most relevant entry point for your organization or role.