Integrated Platform for Multimodal Patient Monitoring and Therapy Support in ICU Patients: Interventional Study With First ICU Cockpit Software Applications

Background:

Since 2014, the project "ICU-Cockpit" has been set up at the Neurointensive Unit of the University Hospital Zurich in collaboration with the University of Zurich and ETH Zurich. State-of-the-art information technology collects, synchronizes and encrypts data from numerous medical devices in real time. The project is aimed at initiating a fundamental development in emergency and intensive medicine - and bringing about a substantial improvement in the way diagnostics, treatment and risk management are handled in everyday clinical practice.

Based on video monitoring, algorithms for early alarm systems and therapy support have been already developed. In order to make the algorithms usable for clinical practice, a user interface (GUI) is currently being developed in cooperation with the University of Applied Sciences Northwestern Switzerland (FHNW), see appendix 15. The GUI allows to visualize and interpret the multimodal patient data in a comprehensive manner.

In 2016, a research project started at the NICU of the University Hospital Zurich started with the title "ICU Cockpit: Integrated platform for multimodal patient monitoring and therapy support in neurocritical care" (BASEC No. 2016-01101). The purpose of the single site project is to set up an integrated platform (scientific prototype of ICU Cockpit software platform) for multimodal patient monitoring and therapy support in neurocritical care, and as a second step to develop and validate algorithms for some first clinical applications. Furthermore, automatic artefacts detections (i.e., number of false and true alarms in ICU Cockpit in comparison to standard monitoring system) are assessed and algorithms are developed for the early detection of epileptic seizures and secondary impairment of cerebral perfusion.

The objective of this current clinical investigation is the verification and validation of the ICU Cockpit software platform and the following three different applications for prognostication and prediction of complications: