PSTOTICU
Research type
Research Study
Full title
Personalised simulation technologies for optimising treatment in the intensive care unit
IRAS ID
266780
Contact name
Luigi Camporota
Contact email
Sponsor organisation
Guy's & St Thomas' NHS Foundation Trust
Duration of Study in the UK
0 years, 8 months, 31 days
Research summary
This project aims to further develop software models that predict how critically ill patients might respond to changes in their treatment whilst admitted in an intensive care unit (ICU). High performance computers will be used to fit the software models to the physiological and treatment data of critical care patients.
An example would be how a patients physiological measurements such as blood pressure respond to a change in the settings of their ventilator, the machine used to support their breathing. The project would aim to collect some of the data available to the clinical team, primarily the information from the monitoring equipment, ventilators and the results of some blood tests.
The changes to a patient’s ventilation would be made as part of their routine care, and only examined by the study team retrospectively.
Data sets required for this study will therefore be collected over the short period whilst the change in care took place. This would be for relatively short time periods, less than twenty four hours in duration.
All data would be collected retrospectively from the observations recorded as part of the routine care of patient, or from the routinely collected data exportable from equipment in the intensive care unit, e.g. ventilators
All collected data would be subjected to a careful anonymisation process to remove any features that would allow identification of the patients involved.
REC name
N/A
REC reference
N/A