Virtual Reality, Artificial Intelligence and Specialized Logistics in Healthcare

Author(s): Yui-yip Lau*, Yuk Ming Tang* and Leung Wai Keung Alan * .

DOI: 10.2174/9789815179996123010003

The Revolution of Immersive Technologies in Healthcare Research

Pp: 1-21 (21)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

In the digital era, many technologies such as artificial intelligence (AI), computer information systems, Internet of Things (IoT), Industry 4.0, immersive technologies, 3D printing, etc. are being adopted to facilitate operations, provide better management, and enhance workflow and working efficiency. As such, digital health technology and management are the key topics that are attracting wide attention, since it is important both in enhancing efficiency and safety. In fact, most of the healthcare and medical care tasks cannot be replaced entirely by computers. The training of healthcare workers and medical practitioners still remains important. Immersive technologies including virtual Reality (VR), augmented reality (AR), and mixed reality (MR) are widely adopted in numerous industrial and training applications. VR provides a fully immersive experience for the trainees, while AR and MR provide interactive stimulation while maintaining attention in the physical world. Despite the types of immersive technologies used for training, healthcare training, and medical simulation are key components of digital health technology. Nevertheless, in many cases, a trainee’s acceptance and behavioural training in participating in immersive training are still uncertain. Understanding their acceptance and behaviour is important not only in developing effective simulated training but also in enhancing their autonomy and motivation in participation. To this end, we also introduce some of the research models that are commonly used to support health and medical training and simulation. 

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