In Region Skåne, researchers are using machine learning and data analysis to identify palliative patients and so-called “frequent flyers” – those who are often readmitted.
How best to present the findings from the large database containing all emergency visits in Region Skåne during 2017–2018? That was the topic of discussion among doctors Andreas Lindgren, August Tägil, Jakob Lundager-Forberg, Anders Berglund, and Anne W. Ekdahl at a digital research meeting at Helsingborg Hospital.
The purpose of analysing the data is to explore whether it is possible to develop a prediction model capable of identifying which patients are likely to be frequently readmitted in the future – with the goal of implementing targeted and effective interventions to reduce readmissions.
It is an important topic in an age where we live longer, and with ageing often comes chronic illness.