This paper is in the following e-collection/theme issue:

Usability of Apps and User Perceptions of mHealth (1188) Human Factors and Usability Case Studies (1005) Hypertension Prevention and Treatment (296) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Cardiac Risk and Cardiac Risk Calculators (102)

Published on in Vol 13 (2025)

This is a member publication of King's College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68361, first published .
Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model–Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study

Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model–Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study

Evaluating the Clinical Effectiveness and Patient Experience of a Large Language Model–Based Digital Tool for Home-Based Blood Pressure Management: Mixed Methods Study

Authors of this article:

Alan Jelic1 Author Orcid Image ;   Igor Sesto1 Author Orcid Image ;   Luka Rotkvic1 Author Orcid Image ;   Luka Pavlovic2 Author Orcid Image ;   Nikola Erceg3 Author Orcid Image ;   Nina Sesto2 Author Orcid Image ;   Zeljko Kraljevic4 Author Orcid Image ;   Joshua Au Yeung5 Author Orcid Image ;   Amos Folarin4 Author Orcid Image ;   Richard Dobson4 Author Orcid Image ;   Petroula Laiou4 Author Orcid Image
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