Heart failure decompensation alerts in a patient's home using an automated, AI-driven, point-of-care device.

Autor: Chausiaux OE; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK oriane@hftech.org., Keyser M; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK., Williams GP; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK., Nieznański M; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK., Downer PJ; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK., Garnett RE; Department of Primary Health Care Sciences, University of Oxford, Oxford, UK., Berry R; Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK., Husheer SLG; Ringgold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.
Jazyk: angličtina
Zdroj: BMJ case reports [BMJ Case Rep] 2022 Apr 12; Vol. 15 (4). Date of Electronic Publication: 2022 Apr 12.
DOI: 10.1136/bcr-2021-248682
Abstrakt: Heart failure (HF) is a major challenge worldwide and needs continuous monitoring of patients even after hospital discharge. This case report summarises the data collected and experience gained from the first usage of an automated, point-of-care device (Heartfelt device) in a patient's home in the UK. The device monitors the onset of peripheral oedema and alerts clinicians if an increase in volume outside an expected normal range for the patient is detected. This may provide a reliable method of remotely and automatically monitoring HF patients in the home for those who do not reliably use weighing scales. The device successfully provided data for about 15 months and generated alerts in advance, which supported decisions for the patient's care. The rate of data acquisition was very high and consistent throughout this period. The patient was satisfied with the device and agreed that it helped in her decision to seek medical attention.
Competing Interests: Competing interests: None declared.
(© BMJ Publishing Group Limited 2022. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze: MEDLINE