Risk Modelling for Quality Improvement in the Critically Ill: Making Best Use of Routinely Available Data

The aim of the proposed study is to better understand the epidemiology of, risk factors for and consequences of critical illness leading to improvements in the risk models used to underpin national clinical audits for adult general critical care, cardiothoracic critical care and in-hospital cardiac arrest using data linkage with other routinely collected data sources.