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Digital Health: Feature Review Papers
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Digital Health: Feature Review Papers

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4332

Special Issue Editor

Prof. Dr. Fabrizio Bert

E-Mail Website
Guest Editor
Department of Public Health, University of Turin, Via Santena 5 bis, 10126 Turin, Italy
Interests: public health; epidemiology; e-health; mental health; minority health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As Section Editor-in-Chief of the Digital Health section of the International Journal of Environmental Research and Public Health, I am glad to announce the Special Issue "Digital Health: Feature Review Papers”. This Special Issue will be a collection of reviews, systematic reviews, and meta-analyses from top researchers describing the state-of-art development of a diverse set of topics related to: communication technologies (ICT) applied to medicine, electronic health records, e-health and mobile health, medical informatics, Internet and social media platforms and their use for health purposes, big data analytics, telemedicine, health artificial intelligence, new medical devices, personalized medicine, and legislation and ethics in the digital health field.

We hope this topic is of interest to you and invite you to send a tentative title and short abstract to our editorial office (ijerph@mdpi.com) for evaluation before submission. Please note that selected papers are still subject to thorough peer review.

We look forward to receiving your excellent work.

Prof. Dr. Fabrizio Bert
Guest Editor

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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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

  • communication technologies (ICT) and wireless devices
  • e-health and mobile health
  • big data analytics
  • telemedicine and telehealth
  • internet and social media
  • medical devices
  • digital health legislation and ethics
  • health informatics
  • electronic health records

Published Papers (2 papers)

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Review

22 pages, 716 KiB  
Review
Context-Aware Medical Systems within Healthcare Environments: A Systematic Scoping Review to Identify Subdomains and Significant Medical Contexts
by Michael Zon, Guha Ganesh, M. Jamal Deen and Qiyin Fang
Int. J. Environ. Res. Public Health 2023, 20(14), 6399; https://doi.org/10.3390/ijerph20146399 - 19 Jul 2023
Viewed by 1350
Abstract
Context awareness is a field in pervasive computing, which has begun to impact medical systems via an increasing number of healthcare applications that are starting to use context awareness. The present work seeks to determine which contexts are important for medical applications and [...] Read more.
Context awareness is a field in pervasive computing, which has begun to impact medical systems via an increasing number of healthcare applications that are starting to use context awareness. The present work seeks to determine which contexts are important for medical applications and which domains of context-aware applications exist in healthcare. A systematic scoping review of context-aware medical systems currently used by patients or healthcare providers (inclusion criteria) was conducted between April 2021 and June 2023. A search strategy was designed and applied to Pub Med, EBSCO, IEEE Explore, Wiley, Science Direct, Springer Link, and ACM, articles from the databases were then filtered based on their abstract, and relevant articles were screened using a questionnaire applied to their full texts prior to data extraction. Applications were grouped into context-aware healthcare application domains based on past reviews and screening results. A total of 25 articles passed all screening levels and underwent data extraction. The most common contexts used were user location (8 out of 25 studies), demographic information (6 out of 25 studies), movement status/activity level (7 out of 25 studies), time of day (5 out of 25 studies), phone usage patterns (5 out of 25 studies), lab/vitals (7 out of 25 studies), and patient history data (8 out of 23 studies). Through a systematic review process, the current study determined the key contexts within context-aware healthcare applications that have reached healthcare providers and patients. The present work has illuminated many of the early successful context-aware healthcare applications. Additionally, the primary contexts leveraged by these systems have been identified, allowing future systems to focus on prioritizing the integration of these key contexts. Full article
(This article belongs to the Special Issue Digital Health: Feature Review Papers)
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13 pages, 1035 KiB  
Review
Privacy-by-Design Environments for Large-Scale Health Research and Federated Learning from Data
by Peng Zhang and Maged N. Kamel Boulos
Int. J. Environ. Res. Public Health 2022, 19(19), 11876; https://doi.org/10.3390/ijerph191911876 - 20 Sep 2022
Cited by 6 | Viewed by 2335
Abstract
This article offers a brief overview of ‘privacy-by-design (or data-protection-by-design) research environments’, namely Trusted Research Environments (TREs, most commonly used in the United Kingdom) and Personal Health Trains (PHTs, most commonly used in mainland Europe). These secure environments are designed to enable the [...] Read more.
This article offers a brief overview of ‘privacy-by-design (or data-protection-by-design) research environments’, namely Trusted Research Environments (TREs, most commonly used in the United Kingdom) and Personal Health Trains (PHTs, most commonly used in mainland Europe). These secure environments are designed to enable the safe analysis of multiple, linked (and often big) data sources, including sensitive personal data and data owned by, and distributed across, different institutions. They take data protection and privacy requirements into account from the very start (conception phase, during system design) rather than as an afterthought or ‘patch’ implemented at a later stage on top of an existing environment. TREs and PHTs are becoming increasingly important for conducting large-scale privacy-preserving health research and for enabling federated learning and discoveries from big healthcare datasets. The paper also presents select examples of successful TRE and PHT implementations and of large-scale studies that used them. Full article
(This article belongs to the Special Issue Digital Health: Feature Review Papers)
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