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.
The aims and objectives of this database of depersonalised routinely collected hospital patient data are to: * Conduct epidemiological and observational studies of acute hospital care. * Develop and use algorithms and risk models to identify the deteriorating / sick adult so that interventions and enhanced care can be provided in a timelier manner with consequent resource and outcome improvements. This covers both the deteriorating inpatient at risk of adverse outcomes and people in the local community at risk of hospitalisation or in need of other health services. * Retrospectively evaluate interventions e.g. impact of system-wide clinical pathway introduction * Conduct simulations of clinical pathways
Study Type
OBSERVATIONAL
Enrollment
750,000
Queen Alexandra Hospital
Portsmouth, Hampshire, United Kingdom
RECRUITINGIn-hospital death
Death during hospital admission
Time frame: At 24 hours after an observation assessment or physiological measurement
In-hospital death
Death during hospital admission
Time frame: 30 days after admission
Unanticipated ICU admission
Unanticipated ICU admission during hospital stay
Time frame: At 24 hours after an observation assessment or physiological measurement
Unanticipated ICU admission
Unanticipated ICU admission during hospital stay
Time frame: 30 days after admission
Cardiac arrest
Cardiac arrest during hospital stay
Time frame: At 24 hours after an observation assessment or physiological measurement
Cardiac arrest
Cardiac arrest during hospital stay
Time frame: 30 days after admission
Diagnosis of Corona Virus Disease (COVID) infection
Diagnosis of COVID-19
Time frame: 48 hours after presentation
Diagnosis of Corona Virus Disease (COVID) infection
Diagnosis of COVID-19
Time frame: At 48 hours after an observation assessment or physiological measurement
Detection of Acute Organ Dysfunction
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
Time frame: 24 hours after presentation
Detection of Acute Organ Dysfunction
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
Time frame: 48 hours after presentation
Detection of Acute Organ Dysfunction
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
Time frame: 72 hours after presentation
Detection of Acute Organ Dysfunction
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
Time frame: 1 week after presentation
Detection of Acute Organ Dysfunction
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
Time frame: 30 days after presentation
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