ICU-Heart

Intensive care units (ICU) collect huge amounts of information every second, including heart rate, blood pressure, breathing patterns, blood test results, and treatment data. Although this information is routinely gathered during patient care, much of it is not yet fully used to improve diagnosis, treatment, or recovery. ICU-Heart is a multidisciplinary research collaboration that aims to use advanced technology and data science to improve care for critically ill patients.

The project focuses on two important areas: improving the diagnosis of heart attacks (myocardial infarction) in intensive care, and understanding how multiple long-term health conditions (multimorbidity) affect recovery and outcomes. Diagnosing heart attacks in ICU patients can be difficult because critical illness affects many organs at once, and standard tests may not work as well in this setting.

The main aims are to develop new artificial intelligence (AI) tools that can safely analyse continuous monitoring data and identify patients at risk of serious heart problems earlier and more accurately. The research will also explore how different illnesses interact over time and whether treatments can be better tailored to individual patients.

By bringing together clinicians, engineers, data scientists, and patients, ICU-Heart aims to create practical decision-support tools that can be safely introduced into real-world ICU care and ultimately improve outcomes for patients and families. 

Clinical Phenotypes

Detecting Myocardial Infarction

Haemodynamic Instability

Target Trial Emulation

Sociotechnical analysis

Pandemic Preparedness