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What we offer

ENVERSION A/S was founded in December 2009. We design, build and implement decision support systems dedicated the healthcare sector in Denmark. Today we help Danish regions processing huge amounts of healthcare data from electronic health records, laboratory systems, patient administrative systems. We secure that knowledge becomes easily available for doctors, clinicians, researchers and decision makers. Our growth strategy for 2016-2019 is agressive and our main focus is to create intelligent IT-solutions for data-driven decision making. Our toolbox contains the newest data-science techniques: Machine learning, data mining, text mining and operations research.

Products and solutions

ENVERSION SundhedsCenter is our value chain in four steps. This is the foundation for our solutions and the work for our business partners

Data Center

The first step, the Data Center, is to establish access to those data, which are necessary to solve and handle a businesslike issue. We make sure that you always have access to the relevant data. Learn more ›

Fact Center

The second step, the Fact Center, is a datawarehouse algorithm that integrates all relevant data from the operational systems in the Danish Regions. The step is about to process, integrate, and quality assure data so that the data is prepared further analysis. Learn more ›

Analysis Centre

The third step, the Analysis Centre, uses data from the Fact Center as input to the contruction of decision algorithms. The purpose with the supporting decision algorithms is to assist the healthcare personnel when making optimal and safe decisions for the individual patient and citizen. Learn more ›

Value Center

The fourth step, the Value Center, makes sure that the supporting decision from step three is being embedded in the working procedures and thereby creates value for money. Technically, this can be done by integrating knowlegde from the algorithms i those systems, which are already being used, for example EPJ-systems. Learn more ›

Case stories

Predective Mod
Paper describing the study

Predictive modelleing, Colorectal Cancer

This case study describes the use of the DDW to support discovery of potential chemical biomarkers for colorectal cancer. Learn more ›

Monitoring Patient
Illustration of the case

Monitoring of continuity of care

The case describes an algorithm, which we have invented in order to quantify what happens during patient-experienced procedures at Danish hospitals. Learn more ›


Sofie Grue Haumann


Inge Lehmanns Gade 10
8000 Aarhus C

Find us here:

Kroatian Minister Of Health
Come see for yourself!

Ministerial delegation visit from Croatia

"I am pleased with everything I have seen and with the hospitality extended to me and my colleagues during our stay in Denmark. We are grateful to the Healthcare DENMARK team for being wonderful hosts to us and for the excellent organization of our visit."

- Dario Nakić, Croatian Minister of Health

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