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Int. J. Environ. Res. Public Health 2013, 10(11), 6131-6153; doi:10.3390/ijerph10116131
Review

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

1,* , 2
 and 3
Received: 20 September 2013; in revised form: 4 November 2013 / Accepted: 8 November 2013 / Published: 13 November 2013
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Abstract: 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.
Keywords: mobile computing; cloud computing; telecardiology; electrocardiograph; echocardiography; medical images; big data mobile computing; cloud computing; telecardiology; electrocardiograph; echocardiography; medical images; big data
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Hsieh, J.-C.; Li, A.-H.; Yang, C.-C. Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology. Int. J. Environ. Res. Public Health 2013, 10, 6131-6153.

AMA Style

Hsieh J-C, Li A-H, Yang C-C. Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology. International Journal of Environmental Research and Public Health. 2013; 10(11):6131-6153.

Chicago/Turabian Style

Hsieh, Jui-Chien; Li, Ai-Hsien; Yang, Chung-Chi. 2013. "Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology." Int. J. Environ. Res. Public Health 10, no. 11: 6131-6153.


Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert