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IT Support in the Healthcare Sector
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IT Support in the Healthcare Sector

A special issue of J (ISSN 2571-8800). This special issue belongs to the section "Public Health & Healthcare".

Deadline for manuscript submissions: closed (15 October 2021) | Viewed by 10037

Special Issue Editors

Prof. Dr. Rüdiger Pryss

E-Mail Website
Guest Editor
Institute of Databases and Information Systems, University of Ulm, 89081 Ulm, Germany
Interests: medical informatics; medical information systems; information systems; process management; mobile computing; data engineering; decision support; augmented reality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Johannes Schobel

E-Mail Website
Guest Editor
DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany
Interests: API design; Web APIs; cloud services; healthcare services; mobile data collection; medical information systems; medical informatics; process management; information systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear colleagues and interested researchers,

In the healthcare field, the utilization of more and more types of information technology seems inevitable. The reasons for this are manifold. Growing pressure related to costs is certainly a prominent reason to develop new information technology for the healthcare sector. The effective organization of daily tasks is also often mentioned by stakeholders. Fortunately, several technical developments have become suitable for day-to-day use for different medical purposes. However, many questions and challenges remain unsolved. We currently face new opportunities in the context of big data, artificial intelligence, and medicine. Beyond this trend, many other thoughts and paradigms have emerged. For example, the advent of powerful mobile technologies provides several new options. Mobile technology is able to collect ecologically valid data at rather low costs and in a short period of time compared to clinical trials. On the other hand, this kind of collection strategy poses drawbacks compared to clinical trials, which must be considered carefully. Immersive analytics in medical data is another promising trend, which aims at helping healthcare professionals cope with the demands pertaining to the handling of big medical data sources. In this context, the field of decision support systems has been recognized by both researchers and practitioners. A focus on the medical evidence when using information technology should always be carefully kept in mind. For mobile health apps (mHealth apps), for example, there are still only a limited amount of researchers working on this issue.

This Special Issue aims at promoting original and high-quality papers in the context of IT support in the healthcare sector. In particular, the Guest Editor is seeking papers on information systems, mobile computing, data engineering, artificial intelligence, decision support systems, and immersive analytics. The Special Issue also welcomes papers on other topics (see keywords) related to IT support in the healthcare sector.

Considering your interest in this current research topic, we cordially invite you to submit a high-quality original research paper or review to this Special Issue of J—Multidisciplinary Scientific Journal

Prof. Dr. Rüdiger Pryss
Prof. Dr. Johannes Schobel
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. J is an international peer-reviewed open access quarterly 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 1200 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

  • Medical Information Systems
  • Hospital Information Systems
  • Data Lakes
  • Infrastructures
  • Interoperability
  • Mobile Computing
  • Data Engineering and Data Analytics
  • Machine Learning
  • Immersive Analytics
  • Decision Support Systems
  • Technologies for Personalized Medicine
  • Technologies for Preventive Medicine
  • Technologies for non-communicable diseases
  • Supporting Integrated Care Models

Published Papers (2 papers)

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17 pages, 616 KiB  
Article
Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health
by Marc Holfelder, Lena Mulansky, Winfried Schlee, Harald Baumeister, Johannes Schobel, Helmut Greger, Andreas Hoff and Rüdiger Pryss
J 2021, 4(2), 206-222; https://0-doi-org.brum.beds.ac.uk/10.3390/j4020017 - 16 Jun 2021
Cited by 9 | Viewed by 3357
Abstract
Within the healthcare environment, mobile health (mHealth) applications (apps) are becoming more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the COVID-19 pandemic has led to an enormous amount of app releases. In most [...] Read more.
Within the healthcare environment, mobile health (mHealth) applications (apps) are becoming more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the COVID-19 pandemic has led to an enormous amount of app releases. In most countries, mHealth applications have to be compliant with several regulatory aspects to be declared a “medical app”. However, the latest applicable medical device regulation (MDR) does not provide more details on the requirements for mHealth applications. When developing a medical app, it is essential that all contributors in an interdisciplinary team—especially software engineers—are aware of the specific regulatory requirements beforehand. The development process, however, should not be stalled due to integration of the MDR. Therefore, a developing framework that includes these aspects is required to facilitate a reliable and quick development process. The paper at hand introduces the creation of such a framework on the basis of the Corona Health and Corona Check apps. The relevant regulatory guidelines are listed and summarized as a guidance for medical app developments during the pandemic and beyond. In particular, the important stages and challenges faced that emerged during the entire development process are highlighted. Full article
(This article belongs to the Special Issue IT Support in the Healthcare Sector)
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Review

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34 pages, 456753 KiB  
Review
Robotic Psychology: A PRISMA Systematic Review on Social-Robot-Based Interventions in Psychological Domains
by Mirko Duradoni, Giulia Colombini, Paola Andrea Russo and Andrea Guazzini
J 2021, 4(4), 664-697; https://0-doi-org.brum.beds.ac.uk/10.3390/j4040048 - 26 Oct 2021
Cited by 6 | Viewed by 5682
Abstract
Current technological advancements have allowed robots to be successfully employed in the healthcare sector. However, the recently acquired ability of social robots to process social information and act according to it has potentially made them very well suited to support or conduct psychological [...] Read more.
Current technological advancements have allowed robots to be successfully employed in the healthcare sector. However, the recently acquired ability of social robots to process social information and act according to it has potentially made them very well suited to support or conduct psychological interventions. The present paper carried out a systematic review of the available literature regarding social-robot-based interventions in psychological domains using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The inclusion criteria were: (i) publication date until 2020; (ii) being an empirical study, master thesis, or project report; (iii) written in English or Italian languages (the two languages spoken by the authors); (iv) published in a scholarly peer-reviewed journal or conference proceedings, or were Ph.D. or master’s theses; and (v) assessed “social robot”-based intervention in psychological domains. Overall, the review showed that three main areas may benefit from social-robot-based interventions: social skills, mood, and wellbeing (e.g., stress and anxiety levels). Interestingly, social robots seemed to have a performance comparable to, and sometimes even better than, human operators. The main, but not exclusive, target of robot-based interventions in the psychological field was children with autism spectrum disorder (ASD). As evidence is, however, still limited and in an embryonic state, deeper investigations are needed to assess the full potential of social robots for the purposes of psychological intervention. This is relevant, considering the role that social robots could have in overcoming barriers to access psychological assessment and therapies. Full article
(This article belongs to the Special Issue IT Support in the Healthcare Sector)
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