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Sponsor: Emanuela Keller
Conditions: Clinical Decision Support System
Interventions: ICU Cockpit software testing
Countries: Switzerland
In neurocritical care, besides the standard intensive care monitoring, even more data are obtained from the very complex pathophysiological changes in brain disease. Medical staff for decision-making cannot integrate the huge amount of clinical data generated every second and visualized on different monitors, anymore. Lack of data integration and usability is a major reason that only few of the knowledge physicians use in this field is evidence based. Early warning systems, powered by predictive algorithms that detect critical states before they happen would allow the staff to intervene early and mitigate or even prevent such a critical state.
Sex: ALL
Healthy volunteers: No
Study type: INTERVENTIONAL
Inclusion Criteria: * All patients admitted to the Neurointensive Care Unit (NICU) * Informed Consent by signature from representative / patient Exclusion Criteria: None
- Zurich, Canton of Zurich, Switzerland