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.
Highlights
Today, mobile computing devices are ubiquitous, and are found in every facet of life
With an ever-increasing number of elderly people being confined to long term care facilities, how can their care be improved to help in the reduction of pathogen contamination? Can a system be developed which will adapt to the context of the learner, providing specific training on how best to aid in the prevention of the spread of potentially deadly pathogens? Achieved by merging the context-aware and training aspects of medical computing, the purpose of this research is to answer that question
The focus of the training involves the prevention of the spread and outbreak of pathogens in a long-term care facility
Summary
Mobile computing devices are ubiquitous, and are found in every facet of life. This union between computing and our everyday world is not limited to our daily lives. There are two facets to the union of computing and the health care systems, namely e-health and m-health. The union of computer science and the medical field is an ongoing partnership, with recent research focusing on the utilization of computing to aid in training within the medical industry. Context-aware systems have been used to help the medical community, by providing real-time context information to better assist medical staff. In 2015, Immanuel & Raj (2015) applied context aware computing to assist medical staff with necessary information for easy and critical time saving decision making when considering patient care
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