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

PDF Version Also Available for Download.

Description

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.

Creation Information

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

Context

This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 20 times . More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Publisher

Provided By

UNT College of Information

Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

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

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Smart Learning Environments
  • Volume: 4
  • Issue: 4
  • Pages: 1-13
  • Peer Reviewed: Yes

Collections

This article is part of the following collection of related materials.

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.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

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.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 20

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

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. (digital.library.unt.edu/ark:/67531/metadc1042621/: accessed October 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.