This page is a part of the mandatory statement of corporate social responsibility 2014/2015 according to paragraph 99a of the Danish accounting act.
PARTNERSHIPS WITH RESEARCH AND EDUCATIONAL INSTITUTIONS
We are committed to helping Denmark develop as a high-tech society. For this reason, we work with selected educational and research institutions.
Systematic wants to be involved in shaping developments in information and communication technology (ICT) in Denmark, in partnership with the appropriate educational and research institutions. We have close long-term working relationships with the corporate community, educational institutions and other public sector bodies.
We take part in selected projects and programs where we are able to contribute our technological knowledge, or where we have specific domain knowledge. Projects and programs are selected based on a specific assessment of their market potential and economic potential for society.
Danish hospitals are challenged by ageing populations and increases in the occurrence of lifestyle-related diseases, requiring intelligent IT solutions that enable hospitals to utilise personnel and equipment as efficiently as possible.
One of the projects is ‘PosLogistics’. Systematic participates in the PosLogistics project together with the Department of Computer Science at Aarhus University and two hospitals, Aalborg University Hospital and Aarhus University Hospital. The project is run by the Danish National Advanced Technology Foundation. PosLogistics is a work assignment system for orderlies. Through positioning technologies and innovative assignment algorithms the positions for equipment and staff are determined.
PosLogistics has been piloted at Aalborg University Hospital since February 2013. Evaluations of the solution show that both orderlies and clinicians are very positive towards the solution and that they find it user friendly and intuitive to use.
Systematic views positioning and tracking technologies such as Wi-Fi or RFID as enabling technologies for work process optimisation. Currently, the project focuses on developing and testing algorithms for other services at the hospital.