A remote hypertension management program clinical algorithm.

Hunter Nichols Christopher P CannonBenjamin M SciricaNaomi Deirdre Lakshmi Fisher

Published in: Clinical cardiology (2022)

We have developed an algorithmic approach for the remote management of hypertension with demonstrated success. A focus on algorithmic decision-making streamlines tasks and responsibilities, easing the potential for scalability of this model. As the backbone of our remote management program, this clinical algorithm can improve BP control and innovate the management of hypertension in large populations.

Keyphrases

blood pressure
decision making
machine learning
deep learning
risk assessment
climate change