Overview
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.
Description
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
Eligibility
Inclusion Criteria:
- Adult presenting at the acute hospital or receiving services from the hospital
Exclusion Criteria:
- Adults who have registered an opt out of research with National Health Service (NHS) Digital
- Adults who have contacted the hospital to ask that their records are not to be included in this study