Measuring quality of care in the clinical speciality of urology: revision of evidence and application of novel models for risk adjustment, audit and feedback using big data

In order for healthcare quality to be improved, it has to be measured accurately for healthcare professionals to use for professional development. This doctorate seeks to use novel machine learning methods to risk adjust outcome quality measures to ensure that healthcare professionals are delivered accurate feedback for quality improvement purposes.