Increasing patient safety and saving lives – that is the goal of the recently launched research project AIMS (Artificial Intelligence based Monitoring and early warning for patient Safety)!
The challenge: Although surgical procedures can be performed more safely today than ever before, they are still associated with a high risk for patients. In Europe, on average 4% of all patients undergoing surgery die in hospital. 2% to 3% die in the hospital ward without having been admitted to an intensive care unit. A significant proportion of these patients die unexpectedly (1). The challenge is to recognize these patients in good time so that medical countermeasures can be taken.
The goal: RISC Software GmbH, together with the Department for Anesthesiology and Critical Care Medicine at the Medical Faculty of Johannes Kepler University Linz, FiveSquare GmbH and innovethic e.U., wants to make an important contribution to solving this challenge: The goal of the AIMS consortium is to develop and validate an AI-based early warning system to detect deterioration in the condition of patients on the hospital ward at an early stage. This can support clinical staff in taking medical measures in a more timely, objective, and systematic manner, thereby increasing patient safety. The vision: In the long term, the AI-based early warning system developed in AIMS is to be further developed for the entire patient journey – from patient admission to home care – and thus further strengthen European technological sovereignty
This project is funded by the FFG. www.ffg.at.
References
(1) Pearse RM, Moreno RP, Bauer P, Pelosi P, Metnitz P, Spies C, et al. Mortality after surgery in Europe: a 7 day cohort study. The Lancet. 2012 Sep;380(9847):1059–65.
