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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.
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The aims and objectives of this database of depersonalised routinely collected hospital patient data are to:
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Paul Meredith, PhD; Alice Mortlock, PhD
Data sourced from clinicaltrials.gov
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