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The CPS4TIC system

The CPS4TIC system


The Cyber-Physical System for Telemedicine and Intensive Care (CPS4TIC) enables existing or new ICU structures to transform and operate as one ICU Hub with one central ICU and connected ICUs in peripheral hospitals. CPS4TIC was used successfully in the first wave of Covid-19 to ensure efficient and effective diagnosis and treatment of Covid-19 patients while reducing the risk of infection drastically.


The CPS4TIC consists of a telemedicine cockpit, telemedicine consoles at each peripheral hospital, a connector platform, and smart bedside hubs including a robotic arm at the bedsides of both, the central telemonitoring clinics, and the peripheral telemonitored hospitals. The ICU hub operates telemedicine, continuous real-time telemonitoring, and a bedside smart care environment.


The bedside smart care environment reduces the risk of infection for the health workforce significantly both for the central and peripheral hospitals. ICU4Covid will deploy and test the CPS4TIC at large-scale, in 4+4 ICU Hubs in Europe (4 from the initial consortium and 4 selected by an Open Call), involving more than 30000 patients/year with a coverage of approximately 60 Million citizens.

The CPS4TIC in the ICU4COVID project

The project is a pilot project that seeks to deploy large-scale digital intensive care hubs in a group of hospitals in Europe (central and peripheral), with the intention of contributing to shaping a medical community that communicates efficiently, stably, and quickly and with the goal of increasing the capacity of intensive care medical systems.

The CPS4TIC systems are integrated with a co-creation process to ensure high functionality in a smart, efficient, fast, integrative, and advanced medical work environment.

Read more about the Large-scale pilot on our Objectives page.

Read more about CPS4TIC's blueprint on our Objectives page.

Read more about our Objectives and the significant part that the CPS4TIC system takes in them.

Installation Map

The CPS4TIC System Installation Tracking Map

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