OHDSI Denmark

Background 

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 will serve as a national forum where stakeholders can jointly identify needs and develop solutions needed to advance the OHDSI mission and vision and coordinate activities between national and international collaborators. A special emphasis will be made to identify common areas of expertise that will facilitate quality control processes that can ensure the highest possible health data quality for research and clinical implementation.  

Objectives 

• Build the Danish OHDSI Denmark community
• Establish national standards for data transformation into the OMOP CDM to support clinical grade evidence and support the use of OMOP standardization for the deployment of data-driven medicine
• Advance the use of the OMOP CDM in Denmark and facilitate international collaboration

Leading Organisation(s)

Center for Surgical Science,
Department of Surgery,
Zealand University Hospital,
Lykkebækvej 1,
4600 Køge,
Denmark

Members

Data Partners

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.

Regular meetings

Join our monthly OHDSI Denmark meeting in MS teams:

Every 1st Wednesday of the month between 15:00 and 16:00 here

Please contact Andreas Weinberger Rosen at This email address is being protected from spambots. You need JavaScript enabled to view it. to receive the invitation for the monthly call

How to contribute?

If you would like to join OHDSI Denmark, please fill out this form. If you would like to join the OHDSI MS Teams environment, please register at link and link (Please select “Europe” under the chapters section).