Department of Computer Science has received 20 mio DKK from the Innovation Fund Denmark together with Systematic and the university hospitals in Aarhus and Aalborg. 6.5 mio DKK will go to Department of Computer Science.

In “Hospital@Night”, the need for more efficient task scheduling for on-call physicians in after hour clinical settings is addressed through state-of-the-art machine learning and visual analytics methods. Its idea is to improve the often arcane and complex manual scheduling practices through phone and pager calls currently employed in clinical task distribution. More often than not, the inflexibility and heterogeneity of current practices overburden and interrupt on-call physicians with requests that do not match their competencies, their current location, or simply their need for personal down time to perform at their best in the high-stakes, high-stress clinical scenarios to which they are called. In Hospital@Night, health IT specialists from Systematic, computer science researchers from AU, and clinicians from the University Hospitals in Aarhus and Aalborg set out to change this status quo through data-driven methods that automatically distills situational and domain knowledge on clinical task scheduling in a knowledge graph, which can then be used as a basis for improved task distribution.

The role of AU’s Department of Computer Science lies in the investigation of methods to automatically capture situational and domain knowledge in the knowledge graph structure (Data Intensive Systems, Ira Assent) and to visualize the knowledge graph to enable its interactive tailoring to the specifics of a particular hospital or ward (Ubiquitous Computing, Hans-Jörg Schulz).

Read the press release:

https://innovationsfonden.dk/da/investeringer/investeringshistorier/intelligent-mobillosning-skal-reducere-stressende-vagter