The diagnosis of primary aldosteronism (PA) can be time-consuming and this can delay definitive management. This is exacerbated by the need for adrenal vein sampling (AVS) to determine the subtype of PA and therefore inform treatment. Use of clinical algorithms to predict the subtype is an under-utilised tool that could help to streamline the path to treatment for patients and enable more selective use of AVS as an invasive and resource-intensive investigation.