Can digitisation overcome inefficiency in healthcare?
In present-day society several problems, such as a rising burden of illness and higher patient expectations, lead to inefficiency and a decreased performance in healthcare. Digitalisation can overcome these problems, by assisting medical personnel and optimising treatments and processes. One digitalisation domain that promises great improvements in healthcare is Machine Learning. Current examples of machine learning in healthcare are, for example, medical imaging diagnosis, disease identification and virus outbreak prediction. However promising, data privacy should be considered as well. Besides the fact that health data is highly privacy sensitive, data owners and users are becoming more aware of the dangers regarding data security.