Near real-time medical data dissemination in m-health

Richard Kwadzo Lomotey, Rahnuma Kazi, Ralph Deters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The health sector is one of the primary beneficiaries of the smartphone and tablet boom. These devices are employed by the healthcare professionals to facilitate varying forms of healthcare delivery known as m-Health. But more specifically, these devices are used as medical data consumption nodes. However, mobile devices primarily communicate over wireless mediums and this leads to undesired communication latency in large mobile distributed systems due to the intermittent loss in connectivity. Since m-Health is a mission critical information system, this paper proposes a novel events-oriented mobile cloud computing framework that facilitates near real-time data propagation. The medical records are modeled as events which are disseminated to the healthcare professionals following the publish/subscribe technique. The WebSocket connection is also put forward ahead of the asynchronous polling technique in order to minimize latency. The evaluation of the architecture shows that the healthcare professionals are able to send medical data in a lowlatency fashion compared to other existing techniques such as the HTTP polling and long-polling techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012
Pages67-74
Number of pages8
DOIs
StatePublished - Dec 1 2012
EventInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012 - Addis Ababa, Ethiopia
Duration: Oct 28 2012Oct 31 2012

Publication series

NameProceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012

Other

OtherInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012
CountryEthiopia
CityAddis Ababa
Period10/28/1210/31/12

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Ecological Modeling

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