Resource Management in the Emergency Department by using Machine Learning

The aim of the PhD project is to design a decision support tool based on advanced statistical methods, machine learning/artificial intelligence (AI) and registered health care data in order to optimize emergency department care.

In a present project, an AI based clinical decision support for diagnosing adults with breathing difficulties in the emergency department is being modelled.

The PhD project is part of the research project AIR Lund (Artificially Intelligent use of Registers), a collaboration between Lund University, Halmstad University, Region Halland and Region Skåne. Funded by Region Halland´s Scientific Advisory Board and Sparbanksstiftelsen.

Sweden has an uniqe opportunity for research with register data. With this data, we aim to develop a clinical decision support based on statistical models and machine learning, an aspect of artificial intelligence (AI).

The decision support has potential to improve diagnosis and treatment of patients seeking care at emergency departments. Better and more individualized predictions has the potential to improve patient safety and optimize emergency department resource management.