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Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology

Many studies have indicated that computing technology can enable off-site cardiologists to read patients’ electrocardiograph (ECG), echocardiography (ECHO), and relevant images via smart phones during pre-hospital, in-hospital, and post-hospital teleconsultation, which not only identifies emergency...

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Autores principales: Hsieh, Jui-Chien, Li, Ai-Hsien, Yang, Chung-Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863891/
https://www.ncbi.nlm.nih.gov/pubmed/24232290
http://dx.doi.org/10.3390/ijerph10116131
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author Hsieh, Jui-Chien
Li, Ai-Hsien
Yang, Chung-Chi
author_facet Hsieh, Jui-Chien
Li, Ai-Hsien
Yang, Chung-Chi
author_sort Hsieh, Jui-Chien
collection PubMed
description Many studies have indicated that computing technology can enable off-site cardiologists to read patients’ electrocardiograph (ECG), echocardiography (ECHO), and relevant images via smart phones during pre-hospital, in-hospital, and post-hospital teleconsultation, which not only identifies emergency cases in need of immediate treatment, but also prevents the unnecessary re-hospitalizations. Meanwhile, several studies have combined cloud computing and mobile computing to facilitate better storage, delivery, retrieval, and management of medical files for telecardiology. In the future, the aggregated ECG and images from hospitals worldwide will become big data, which should be used to develop an e-consultation program helping on-site practitioners deliver appropriate treatment. With information technology, real-time tele-consultation and tele-diagnosis of ECG and images can be practiced via an e-platform for clinical, research, and educational purposes. While being devoted to promote the application of information technology onto telecardiology, we need to resolve several issues: (1) data confidentiality in the cloud, (2) data interoperability among hospitals, and (3) network latency and accessibility. If these challenges are overcome, tele-consultation will be ubiquitous, easy to perform, inexpensive, and beneficial. Most importantly, these services will increase global collaboration and advance clinical practice, education, and scientific research in cardiology.
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spelling pubmed-38638912013-12-16 Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology Hsieh, Jui-Chien Li, Ai-Hsien Yang, Chung-Chi Int J Environ Res Public Health Review Many studies have indicated that computing technology can enable off-site cardiologists to read patients’ electrocardiograph (ECG), echocardiography (ECHO), and relevant images via smart phones during pre-hospital, in-hospital, and post-hospital teleconsultation, which not only identifies emergency cases in need of immediate treatment, but also prevents the unnecessary re-hospitalizations. Meanwhile, several studies have combined cloud computing and mobile computing to facilitate better storage, delivery, retrieval, and management of medical files for telecardiology. In the future, the aggregated ECG and images from hospitals worldwide will become big data, which should be used to develop an e-consultation program helping on-site practitioners deliver appropriate treatment. With information technology, real-time tele-consultation and tele-diagnosis of ECG and images can be practiced via an e-platform for clinical, research, and educational purposes. While being devoted to promote the application of information technology onto telecardiology, we need to resolve several issues: (1) data confidentiality in the cloud, (2) data interoperability among hospitals, and (3) network latency and accessibility. If these challenges are overcome, tele-consultation will be ubiquitous, easy to perform, inexpensive, and beneficial. Most importantly, these services will increase global collaboration and advance clinical practice, education, and scientific research in cardiology. MDPI 2013-11-13 2013-11 /pmc/articles/PMC3863891/ /pubmed/24232290 http://dx.doi.org/10.3390/ijerph10116131 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Hsieh, Jui-Chien
Li, Ai-Hsien
Yang, Chung-Chi
Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title_full Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title_fullStr Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title_full_unstemmed Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title_short Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology
title_sort mobile, cloud, and big data computing: contributions, challenges, and new directions in telecardiology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3863891/
https://www.ncbi.nlm.nih.gov/pubmed/24232290
http://dx.doi.org/10.3390/ijerph10116131
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