Novel Digital Technologies for Blood Pressure Monitoring and Hypertension Management View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-06-09

AUTHORS

Allison J. Hare, Neel Chokshi, Srinath Adusumalli

ABSTRACT

Purpose of ReviewHypertension is common, impacting an estimated 108 million US adults, and deadly, responsible for the deaths of one in six adults annually. Optimal management includes frequent blood pressure monitoring and antihypertensive medication titration, but in the traditional office-based care delivery model, patients have their blood pressure measured only intermittently and in a way that is subject to misdiagnosis with white coat or masked hypertension. There is a growing opportunity to leverage our expanding repository of digital technology to reimagine hypertension care delivery. This paper reviews existing and emerging digital tools available for hypertension management, as well as behavioral economic insights that could supercharge their impact.Recent FindingsDigitally connected blood pressure monitors offer an alternative to office-based blood pressure monitoring. A number of cuffless blood pressure monitors are in development but require further validation before they can be deployed for widespread clinical use. Patient-facing hubs and applications offer a means to transmit blood pressure data to clinicians. Though artificial intelligence could allow for curation of this data, its clinical use for hypertension remains limited to assessing risk factors at this time. Finally, text-based and telemedicine platforms are increasingly being employed to translate hypertension data into clinical outcomes with promising results.SummaryThe digital management of hypertension shows potential as an avenue for increasing patient engagement and improving clinical efficiency and outcomes. It is important for clinicians to understand the benefits, limitations, and future directions of digital health to optimize management of hypertension. More... »

PAGES

11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12170-021-00672-w

DOI

http://dx.doi.org/10.1007/s12170-021-00672-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1138732057

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34127936


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