We investigate how linked data can be used to investigate patient pathways that span sectors and organisations. We will be able, for example to establish which factors determine the extent to which patients with long-term conditions are treated within primary or secondary care. In the first study, we will develop coding algorithms to identify atrial fibrillation as an example, reconciling Reid codes in primary care databases with the International Classification of Diseases (ICD-10) diagnostic codes and OPCS procedure codes used in hospital admissions data (HES). We will then develop and validate approaches to identify multi-morbidity. The resultant coding algorithms will be used to describe individual care pathways and their outcomes.
The results of this project will benefit patients by providing the evidence necessary to design, better, more patient centred care pathways across sectors and settings.