Digital Transformation of Healthcare Using IoT and Wearable Services and Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 2016

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computer Science and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Interests: digital health technologies and applications; IoT; AI and data science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Information Systems and Technology Management, University of New South Wales, Sydney, NSW 2052, Australia
Interests: digital innovation; digital ethics; digital health; artificial intelligence; computer-human interaction; Internet of Things (IoT)

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, University of South Florida, Tampa, FL 33620, USA
Interests: smart health systems; digital health technology; human factored design; IoT; mobile computing; app development; artificial intelligence; and machine learning

Special Issue Information

Dear Colleagues,

The digital transformation of healthcare introduces a paradigm shift driven by the integration of advanced technologies into the healthcare sector. This transformation aims to enhance the efficiency, accessibility, quality, and equity of healthcare services. It is also believed that this digital transformation could potentially promote equitable access to healthcare services, enhance disease prevention and management, and empower individuals for their health and wellbeing.

On the other hand, with recent significant technological advancements, the utilization of the Internet of Things (IoT) and wearable devices has revolutionized the domains of wellbeing and healthcare. The ability of IoT and wearables to seamlessly capture and compile longitudinal, real-time data makes them immensely valuable across a spectrum of healthcare applications.  

With these two contexts in mind, we are thrilled to announce our upcoming Special Issue dedicated to exploring the transformative potential of IoT and wearables in healthcare. We invite contributions from both the academic and industrial communities, seeking original and high-quality papers that delve into the latest trends, innovative solutions, and prevailing challenges associated with the digital transformation of healthcare using IoT and wearable technologies.

While we have already received submissions addressing a range of engaging topics, we continue to welcome insightful contributions on subjects including, but not limited to, the following:

  1. IoT and wearables application in healthcare;
  2. The role of IoT and wearables in advancing smart healthcare initiatives;
  3. Digital Transformation of healthcare using IoT and wearables;
  4. Privacy, security, and safety concerns in IoT and wearable systems in healthcare;
  5. Design and implementation of RFID-based IoT devices;
  6. Exploring the potential of IoT and wearables in diverse digital health applications;
  7. IoT, wearables and AI integration for a digital and smart healthcare system;
  8. Overcoming practical implementation challenges in IoT applications.

Dr. Samaneh Madanian
Dr. Eila Erfani
Dr. John M. Templeton
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. Electronics 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

  • wearable devices in healthcare
  • IoT application in healthcare
  • IoT and wearables in telehealth
  • IoT and wearables in mental health

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

22 pages, 887 KiB  
Review
Healthcare in Asymmetrically Smart Future Environments: Applications, Challenges and Open Problems
by Barry Dowdeswell, Roopak Sinha, Matthew M. Y. Kuo, Boon-Chong Seet, Ali Ghaffarian Hoseini, Amirhosein Ghaffarianhoseini and Hakilo Sabit
Electronics 2024, 13(1), 115; https://doi.org/10.3390/electronics13010115 - 27 Dec 2023
Cited by 4 | Viewed by 1575
Abstract
The Internet of Medical Things (IoMT) offers promising ways to meet healthcare needs of patients recovering in their own homes and other environments. Interconnected and resilient smart systems offer innovative and cost-effective ways of supporting patients by capitalizing on available devices and networking [...] Read more.
The Internet of Medical Things (IoMT) offers promising ways to meet healthcare needs of patients recovering in their own homes and other environments. Interconnected and resilient smart systems offer innovative and cost-effective ways of supporting patients by capitalizing on available devices and networking infrastructure. However, future environments will not be uniformly smart, and there will be asymmetries where our environments’ (home, work, etc.) resources and capabilities differ. Technological solutions will need to adapt to such asymmetries and provide high-quality service and equitable healthcare. This article presents a systematic mapping study that explores opportunities and challenges in building next-generation IoMT smart systems for future environments. The study spans academic literature published in the decade from 2011 to 2021, profiling it from three distinct perspectives: Smart Systems, Future Environments, and Tech-Assisted Health. Each perspective was explored via a Domain Expert-Driven Systematic Mapping protocol to establish where the research is focused and to identify research gaps. From an initial search of 495 studies, 113 were mapped to a set of predefined ontology classes, spanning 6 strategic focus categories. The mapping identified sensing technologies for medical vitals and sensor fusion technologies to combine measurements for more complex analysis, cloud platforms, and connectivity challenges; health conditions that have received the most attention in healthcare smart systems; issues and opportunities in handling large data volumes in integrated smart systems; as well as security and privacy challenges. We find that future middleware frameworks will require a greater degree of interoperability and maturity to fully deliver value. Promising middleware and integration frameworks will require significant adaption and refinement to coexist effectively with current healthcare technologies. Privacy and security are critical factors in healthcare but are currently poorly supported by IoT infrastructures, especially across multiple environments. Full article
Show Figures

Figure 1

Back to TopTop