Improving detection and management of atrial fibrillation after ischaemic stroke in Glasgow (IMPROVE-AF): A quality improvement project.

Background: The use of cardiac monitoring to detect atrial fibrillation (AF) is routine after ischaemic stroke but is often delayed leaving patients at risk from undetected AF. We sought to improve the detection of AF by delivering early prolonged 'in-house' cardiac monitoring.

Methods: We collected 3-months of data of people with stroke/transient ischaemic attack (TIA), but without AF, who underwent cardiac monitoring (Phase 1, pre-quality improvement project (QIP)).

Development of a Semiautomated Database for Patients With Adult Congenital Heart Disease.

Background: Databases for Congenital Heart Disease (CHD) are effective in delivering accessible datasets ready for statistical inference. Data collection hitherto has, however, been labour and time intensive and has required substantial financial support to ensure sustainability. We propose here creation and piloting of a semiautomated technique for data extraction from clinic letters to populate a clinical database.