Hypertension is the most common chronic condition dealt with by primary care physicians and other health practitioners. It usually has no symptoms, causing a delay in diagnosis. Moreover, around 20% of the global population suffers from “white-coat syndrome”, which can lead to misdiagnosing hypertension. When diagnosed, patients find it difficult to constantly monitor their blood pressure to ensure it is within acceptable levels. In this work, we propose a pervasive solution model for ambulatory monitoring of hypertensive patients and for supporting a clinician with the task of diagnosing hypertension. It contributes to the selection of attributes and techniques for assisting hypertension diagnosis, and also to an implementation which dynamically adjusts itself to each patient's average blood pressure.