A Mobile Context-Aware Medical Training System for the Reduction of Pathogen Transmission

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This article proposes the creation and evaluation of an AI based context-aware mobile learning system designed to provide real-time training and support for medical cleaning staff.

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13 p.

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Tortorella, Richard A. W. & Kinshuk October 4, 2017.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 79 times. More information about this article can be viewed below.

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This article proposes the creation and evaluation of an AI based context-aware mobile learning system designed to provide real-time training and support for medical cleaning staff.

Physical Description

13 p.

Notes

Abstract: Even with the adoption of modern technology within the medical system, the spread of
deadly pathogens remains a silent, yet deadly killer. Indeed, e-health, and in particular
m-health is at the forefront of the computing portion of modern medical care. It
follows the ubiquity of mobile computing devices that has become synonymous
with modern life. Although the focus of m-health is patient based, this paper
attempts to provide a focus on the healthcare service provider in an attempt to
reduce the fatalities due to pathogen transmissions in care facilities. This paper
proposes, and describes the creation and evaluation of an AI based context-aware
mobile learning system designed to provide real-time training and support for
medical cleaning staff. This learning system aims to bridge the gap between
context-aware learning systems and m-health. As such, the system provides context
information to the learner about the various threats and best ways to deal with
possible pathogens in a long-term care scenario. The evaluation, field tested within
the adult long-term care system demonstrates the benefit and validity of the
system in both training and ongoing usage within the medical system.

Source

  • Smart Learning Environments, 2017. New York, NY: Springer

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Publication Information

  • Publication Title: Smart Learning Environments
  • Volume: 4
  • Issue: 4
  • Pages: 13
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Submitted Date

  • June 30, 2017

Accepted Date

  • September 22, 2017

Creation Date

  • October 4, 2017

Added to The UNT Digital Library

  • Nov. 30, 2017, 9:17 a.m.

Description Last Updated

  • Dec. 3, 2020, 1:42 p.m.

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Tortorella, Richard A. W. & Kinshuk. A Mobile Context-Aware Medical Training System for the Reduction of Pathogen Transmission, article, October 4, 2017; New York, New York. (https://digital.library.unt.edu/ark:/67531/metadc1042621/: accessed April 24, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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