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PP83 Building Resilient Capacity For The Diagnosis Of Cardiac Pathologies Through Telemedicine: Pilot Study

Published online by Cambridge University Press:  07 January 2025

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Abstract

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Introduction

The evolution of technology in medicine and information and communication technology (ICT) has been an important step to introduce innovative/resilient specialized health services. The emergence of telemedicine offers opportunities to enhance specialized diagnosis services. This study has evaluated the feasibility of using tele-Holter and tele-ABPM (ambulatory blood pressure monitoring) to build a resilient diagnosis network for cardiac pathologies in Paraguayan remote public hospitals.

Methods

This observational descriptive multicenter feasibility study is based on a telemedicine-driven approach for specialized cardiac diagnostic services using Holter and ABPM devices in remote and underserved public hospitals in Paraguay. A telemedicine platform was used to send records of Holter and ABPM devices from the remote hospitals to the cardiologist to screen cardiac pathologies.

Results

During the pilot study, 52 cardiac diagnostic tests were carried out using the tele-Holter and tele-ABPM approach in 10 regional hospitals countrywide. Cardiac diagnosis was performed in 24 patients using Holter and 28 patients using ABPM. The most frequent findings using tele-Holter were normal (91.6%), not sustained ventricular tachycardia (4.2%), and atrial fibrillation (4.2%). Regarding tele-ABPM, the diagnoses performed were arterial hypertension (50.0%), uncontrolled arterial hypertension (40.0%), and normal (10.0%). Overall, an average of 90.0 percent of diagnosed patients suffered high blood pressure and 8.4 percent suffered heart disorder.

Conclusions

According to our results, the use of a telemedicine-driven approach to build a resilient diagnosis network for cardiac pathologies in remote underserved public hospitals in Paraguay is feasible. A widespread use-assessment should be analyzed before this tool is adopted.

Type
Poster Presentations
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press