article · Journal of Hypertension
Traditional clinic blood pressure measurements are taken infrequently under resting conditions, failing to capture values during everyday activity. Although clinical guidelines emphasise out-of-office tracking, standard home and ambulatory monitors still rely on intermittent upper-arm cuff readings taken in static environments. Rapidly emerging alternatives incorporate sensor signal processing supported by artificial intelligence tools, remote data storage, and digital therapeutics for patient interaction and data interpretation. While the volume of data and new devices is expanding quickly, substantial evidence gaps and technical hurdles remain. Clear validation standards, proven device reliability, and demonstrated links between novel metrics and clinical outcomes must be established before these innovations can be routinely adopted to guide clinical hypertension management strategies.
Blood pressure is a major contributor to cardiovascular disease and lifetime organ damage. Moving beyond occasional cuff measurements to reliable out-of-office monitoring could transform hypertension diagnosis and treatment. Clarifying the validation standards and clinical reliability of artificial intelligence tools and remote sensors is essential before clinicians and patients can safely depend on them for long-term health management.
Potential commercial applications include artificial intelligence-driven sensor devices for blood pressure estimation, remote monitoring platforms, and digital therapeutic applications for patient engagement and clinical reporting. Intended users include clinicians and patients managing hypertension. The technology appears to be in an intermediate development phase, with devices proliferating but remaining short of standard clinical adoption until validation standards, reliability, and clinical outcome evidence are satisfactorily addressed.
AI-generated from the published abstract. Always read the original work before citing.
Blood pressure (BP) is a key contributor to the lifetime risk of preclinical organ damage and cardiovascular disease. Traditional clinic-based BP readings are typically measured infrequently and under standardized/resting conditions and therefore do not capture BP values during normal everyday activity. Therefore, current hypertension guidelines emphasize the importance of incorporating out-of-office BP measurement into strategies for hypertension diagnosis and management. However, conventional home and ambulatory BP monitoring devices use the upper-arm cuff oscillometric method and only provide intermittent BP readings under static conditions or in a limited number of situations. New innovations include technologies for BP estimation based on processing of sensor signals supported by artificial intelligence tools, technologies for remote monitoring, reporting and storage of BP data, and technologies for BP data interpretation and patient interaction designed to improve hypertension management ("digital therapeutics"). The number and volume of data relating to new devices/technologies is increasing rapidly and will continue to grow. This International Society of Hypertension position paper describes the new devices/technologies, presents evidence relating to new BP measurement techniques and related indices, highlights standard for the validation of new devices/technologies, discusses the reliability and utility of novel BP monitoring devices, the association of these metrics with clinical outcomes, and the use of digital therapeutics. It also highlights the challenges and evidence gaps that need to be overcome before these new technologies can be considered as a user-friendly and accurate source of novel BP data to inform clinical hypertension management strategies.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1097/hjh.0000000000003827
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
