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

Author

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  • Jui-Chien Hsieh

    (Department of Information Management, Yuan Ze University, 135 Yuan-Tung Road, Chungli 32003, Taiwan)

  • Ai-Hsien Li

    (Cardiovascular Center, Far Eastern Memorial Hospital, Banchao, Taipei 220, Taiwan)

  • Chung-Chi Yang

    (Division of Cardiology, Department of Medicine, Taoyuan Armed Forces General Hospital, Longtan 325, Taiwan)

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.

Suggested Citation

  • Jui-Chien Hsieh & Ai-Hsien Li & Chung-Chi Yang, 2013. "Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in Telecardiology," IJERPH, MDPI, vol. 10(11), pages 1-23, November.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:11:p:6131-6153:d:30411
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    References listed on IDEAS

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    1. Hussein Atoui & David Télisson & Jocelyne Fyan & Paul Rubel, 2008. "Ambient Intelligence and Pervasive Architecture Designed within the EPI-MEDICS Personal ECG Monitor," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 3(4), pages 68-80, October.
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    Cited by:

    1. Grazia Dicuonzo & Francesca Donofrio & Antonio Fusco & Vittorio Dell?Atti, 2021. "Big data and artificial intelligence for health system sustainability: The case of Veneto Region," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(suppl. 1), pages 31-52.

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