Patients with obstructive sleep apnoea (OSA) wait up to two years for a diagnostic test. Early diagnosis enables optimal treatment, mitigating risks including heart failure, lung disease, and stroke. Current diagnostic approaches are expensive (£391), time-consuming (\>1-hour interpretation), uncomfortable (cables/tubes/wires), and inequitable (multiple hospital visits). Overcoming all these limitations, we have designed and will investigate a straigh-to-test automated diagnostic pathway for OSA. This will use the AcuPebble, a miniature wearable acoustic sensor and the first regulated technology for automated, at-home diagnosis. The test is cheap (\< £100); time-saving; endorsed by patients, and accessible (posted directly to patients). This project will measure the impact of a potentially transformative, innovative, and scalable diagnostic pathway using AcuPebble technology.