An integrated database of depersonalised routine hospital patient data consisting of demographic and disease attributes, physiological or laboratory measurements, care contacts and interventions along with associated clinical outcomes. The database is an essential resource for the development and testing of risk models and classification systems, modified as necessary for patient subgroups, which can then be introduced into clinical care to improve patient outcomes. It can also be used for large scale simulations to evaluate interventions.
Age range
16 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
In-hospital death
Timeframe: At 24 hours after an observation assessment or physiological measurement
In-hospital death
Timeframe: 30 days after admission
Unanticipated ICU admission
Timeframe: At 24 hours after an observation assessment or physiological measurement
Unanticipated ICU admission
Timeframe: 30 days after admission
Cardiac arrest
Timeframe: At 24 hours after an observation assessment or physiological measurement
Cardiac arrest
Timeframe: 30 days after admission