In the following areas the dwh Gmbh operates and offers specialized and problem-oriented services. The Developments of innovative methods happen inter-divisional, because the basic language of mathematics is the same in all areas .

So the whole system learns constantly and we are able to offer solutions from the perspective of new positions faster and more efficiently.

dwh deals as provider of solutions and new methods in the field of system analysis, modeling and simulation as well as technical assistance in data analysis for parameterization and validation of decision-making processes for health economics and health care planning questions.

More than 10 years of experience in the management of decision support issues especially in:

  • Vaccination strategy evaluation
  • Cost-effectiveness evaluation of drugs
  • Health service research
  • Chronic diseases
  • Demography
  • Demand planning of services and resources in healthcare

Systematic access (PICO), knowledge on international processes (NICE, EUnetHTA Core Models, AMNOG, …) and detailed overview and experience on Austrian claims data form the basic working concept of dwh simulation services for solving customers’ requirements.

Due to collaboration of the different teams in dwh a highly effective interface between modelling and high dimensional data analysis up to visualization is implemented.

Since dwh one hand guarantees the necessary broad resource base, on the other hand linked very small scale, both the quality, as well as rapid processing and direct contact are ensured.

Industry 4.0 brings new challenges in the field of data analysis and the identification of complex system relations.

So an "intelligent" behavior of machines becomes more and more important in order to communicate with each other, to conserve energy and resources, as well as to avoid failures (predictive maintenance) .

In addition, by using clever simulations it is possible to calculate scenarios in advance and to detect possible development process bottlenecks at an early stage.

All these processes require a deeper understanding of the systems and their interactions, though, according to their increasing complexity, existing static methods are no longer sufficient and newer, "smarter" methods are necessary.

Right here we offer new solutions, whether it is the development of co-simulations to combine physical systems with energy consumption and logistics, or AI methods in order to find so far overlooked relationships in complex data.

Large infrastructure projects such as hospitals, airports, railway stations or large office buildings do not only consist of rooms and facilities but also include processes that happen inside them. E.g. people that move inside those buildings, energy that is distributed and consumed or material that has to be transported to and from operating rooms.

Through novel approaches in simulation technology, it is possible to capture these infrastructure projects in their entirety and to simulate them. So different scenarios and their effects can be studied already during the planning phase.

What happens when a flight gate is blocked or a disaster happened and the number of patients in a hospital dramatically increases?

In addition, the space and thereby also the available energy can be used more effectively and subsequently large amounts of money can be saved. Thus we could show with the help of a simulation that in spite of the failure of the main lecture hall of the University of Technology of VIENNA because of rebuilding works, the operation of teaching could be maintained without hiring additional spaces and so 500,000€ could be saved.