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Applied Sciences
Special Issues
Challenges and Opportunities in Digital Health
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Challenges and Opportunities in Digital Health

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 3505

Special Issue Editors

Dr. Toh Yen Pang

E-Mail Website
Guest Editor
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Interests: systems design and modelling; computer modelling and simulation; biomechanical modelling and analysis; injury prevention; road safety; digital twins; IoT
Special Issues, Collections and Topics in MDPI journals
Dr. Tsz-Kwan (Glory) Lee

E-Mail Website
Guest Editor
School of Info Technology, Faculty of Sci Eng & Built Env, Deakin University, Geelong, VIC 3000, Australia
Interests: video and image processing; machine learning; video quality assessment; 2D/3D video coding; multimedia technologies; signal processing; video transcoding

Special Issue Information

Dear Colleagues,

Digital health is continually changing with rapid advancements in novel technologies, which enable the general public to have better access and flexibility and more personalized health and medical care. However, the transformative effect of digital health provides not only new opportunities but also brings new challenges, including in its design, reliability, safety, testing and software solutions.

This Special Issue aims to advance our knowledge of, and explore the opportunities and challenges in, digital health research.

This Special Issue will publish high-quality, original research papers in the overlapping fields of:

  • Design and implementation of digital health ecosystems;
  • Virtual care, including wearables, AI, and biosensors;
  • Digital imaging and diagnostics;
  • Telehealth and telemedicine;
  • Big data and the IoT landscapes in health;
  • Data and electronic health records;
  • Human computer collaboration for digital health, smart healthcare and well-beings applications.

Dr. Toh Yen Pang
Dr. Tsz-Kwan (Glory) Lee
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital health
  • technology
  • digital imaging
  • smart healthcare

Published Papers (1 paper)

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29 pages, 2265 KiB  
Opinion
Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution
by Toh Yen Pang, Tsz-Kwan Lee and Manzur Murshed
Appl. Sci. 2023, 13(11), 6854; https://doi.org/10.3390/app13116854 - 05 Jun 2023
Cited by 5 | Viewed by 3171
Abstract
Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially the healthcare sector. The adoption of and transition (from traditional) to new technology will bring [...] Read more.
Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially the healthcare sector. The adoption of and transition (from traditional) to new technology will bring challenges, opportunities, and disruptions to existing healthcare systems. According to the European Union, we must pursue both digital and green transitions to achieve sustainable, human-centric, and resilient industries to achieve a world of prosperity for all. The study aims to present a novel approach to education and training in the digital health field that is inspired by the fifth industrial revolution paradigm. The paper highlights the role of training and education interventions that are required to support digital health in the future so that students can develop the capacity to recognise and exploit the potential of new technologies. This article will briefly discuss the challenges and opportunities related to healthcare systems in the era of digital transformation and beyond. Then, we look at the enabling technologies from an Industry 5.0 perspective that supports digital health. Finally, we present a new teaching and learning paradigm and strategies that embed Industry 5.0 technologies in academic curricula so that students can develop their capacities to embrace a digital future and minimise the disruption that will inevitably accompany it. By incorporating Industry 5.0 principles into digital health education, we believe students can gain a deeper understanding of the industry and develop skills that will enable them to deliver a more efficient, effective, and sustainable healthcare system. Full article
(This article belongs to the Special Issue Challenges and Opportunities in Digital Health)
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