Despite being the most technologically advanced field in medicine, intensive care medicine<\/strong> lacks essential automation in pre-processing the high volume-velocity data generated. However, effectively analyzing and utilizing this complex data can support the detection of life-threatening patient conditions<\/strong> and enable automated monitoring of a large number of patients. Consequently, this would allow relieving the burden from physicians and enable them to spend more time with patients.<\/strong> Current research trends use this data volume and elaborate machine learning<\/strong> algorithms to extract and target the patterns present there to predict critical phases,<\/strong> understand complex diseases<\/strong> and provide smart assistance functions<\/strong>.<\/p>\n Therefore, we are pleased to organize the First Aachen EIT Health Hackathon (F.A.I.T.H)<\/strong> with our partners EIT Health, MIT Critical Data, Clinomic GmbH, the Universit\u00e4tsklinikum Aachen – Klinik f\u00fcr Operative Intensivmedizin und Intermediate Care and TechLabs Aachen e.V. to give Health Care Professionals\/Data Scientists\/Students from the EIT Health Community and local universities the first insight into this exciting and vital field.<\/p>\n