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Design and Development of Healthcare System

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 (20 March 2023) | Viewed by 3397

Special Issue Editor


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Guest Editor
Department of Computer Science and Information Systems, University of Limerick, Limerick V94 T9PX, Ireland
Interests: digital health; medical and health systems; personalised medicine

Special Issue Information

Dear Colleagues,

With the increasing complexity of connected health and the advent of digital health, accelerated by the most recent development due to the pandemic, it is becoming increasingly clear that medical and health systems can no longer tolerate separation across disciplines of research and disciplines of cure and care, nor the traditional silos at the IT and professional levels. At the same time, the proliferation of heterogeneous technologies, in laboratories, hospitals and at home, is both a blessing and a curse from a technological point of view: different devices, tools and platforms can counteract the initiatives to unify and standardise. Trends towards increased homogeneity (like GDPR, HL7 and many other large scale initiatives and consortia) compete with centrifugal forces that incentivise diversification, among which are personalised medicine and the concept of a more or less abstract digital twin for organs, systems, and ultimately the patient.

In this issue, we welcome technical contributions that showcase, from a technical and technological point of view, how and why these competing trends are evolving, the challenges faced, the solutions that work, as well as the attempts that have failed, when there is a strong analysis of the specific and contextual reasons and clear evidence for the lessons learned.

Potential topics include, but are not limited to, the following:

  • Technical Integration of IT health systems
  • Programming languages and domain specific languages for health and medical research support
  • Ontologies, nosologies, taxonomies and the semantic layer of knowledge mapping and integration related to medical and health research and practice
  • Data management cycle for integration and long term reuse
  • Technical analysis of IT systems for health and medicine, from the point of view of hospitals, networks, medical service and community health centers, and at the public health level
  • Technologies for the evolution and customisation of IT systems and platforms for health
  • Infusion of privacy, accountability, security in medical, clinical and health-related research and care, including retrofitting existing systems
  • Case studies

Prof. Dr. Tiziana Margaria
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. 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
  • medical and health systems
  • personalised medicine

Published Papers (2 papers)

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Research

22 pages, 2304 KiB  
Article
HIPPP: Health Information Portal for Patients and Public
by Colm Brandon, Adam J. Doherty, Dervla Kelly, Desmond Leddin and Tiziana Margaria
Appl. Sci. 2023, 13(16), 9453; https://0-doi-org.brum.beds.ac.uk/10.3390/app13169453 - 21 Aug 2023
Viewed by 1108
Abstract
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they will turn [...] Read more.
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they will turn to their clinician for guidance and the internet to better verse themselves on the topic. But can they trust the information provided online? Are there ways to provide a quick evaluation of such information in order to prevent low-quality information and potentially dangerous consequences of trusting it? In the context of the UL Cancer Research Network (ULCan), this interdisciplinary project aims to develop the Health Information Portal for Patients and Public (HIPPP), a web-based application co-designed with healthcare domain experts that helps to improve people navigate the health information space online. HIPPP will be used by patients and the general public to evaluate user-provided web-based health information (WBHI) sources with respect to the QUEST framework and return a quality score for the information sources. As a web application, HIPPP is developed with modern extreme model-driven development (XMDD) technologies in order to make it easily adaptable and evolvable. To facilitate the automated evaluation of WBHI, HIPPP embeds an artificial intelligence (AI) pipeline developed following model-driven engineering principles. Through co-design with health domain experts and following model-driven engineering principles, we have extended the Domain Integrated Modelling Environment (DIME) to include a graphical domain-specific language (GDSL) for developing websites for evaluating WBHI. This GDSL allows for greater participation from stakeholders in the development process of both the user-facing website and the AI-driven evaluation pipeline through encoding concepts familiar to those stakeholders within the modelling language. The time efficiency study conducted as part of this research found that the HIPPP evaluation pipeline evaluates a sample of WBHI with respect to the QUEST framework up to 98.79% faster when compared to the time taken by a human expert evaluator. Full article
(This article belongs to the Special Issue Design and Development of Healthcare System)
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28 pages, 4805 KiB  
Article
IT-Based Decision Support for Holistic Healthcare Management in Times of VUCA, Disorder, and Disruption
by Barbara Steffen, Andrea Braun von Reinersdorff and Christoph Rasche
Appl. Sci. 2023, 13(10), 6008; https://0-doi-org.brum.beds.ac.uk/10.3390/app13106008 - 13 May 2023
Cited by 3 | Viewed by 1428
Abstract
The healthcare landscape is facing serious changes driven by digitalization and its VUCA (volatile, uncertain, complex, and ambiguous) conditions. These disrupt the stability of the old order and its static routines. In addition, the global pandemic, technological advances, and patients’ desire for customer [...] Read more.
The healthcare landscape is facing serious changes driven by digitalization and its VUCA (volatile, uncertain, complex, and ambiguous) conditions. These disrupt the stability of the old order and its static routines. In addition, the global pandemic, technological advances, and patients’ desire for customer rights are reinforcing the need for an accelerated paradigm shift in established healthcare organizations. However, most healthcare organizations are still struggling to close the digitalization gap. They are unprepared to evolve into dynamic VUCA service organizations. To help healthcare organizations to better understand and adapt to the new conditions, we propose an IT-based multi-perspective analysis process enabling holistic understanding and decision-making to derive customized digitalization strategies. To achieve this, it is essential to develop a semantic layer of knowledge mapping and integration. This article introduces the GOLD Framework and its corresponding IT-tool support to derive a holistic understanding based on selecting and connecting suitable methods/theories and guiding the users in their correct use. The required formalization of the IT-tool support ensures consistency and is the basis for continuous improvement. The approach covers the complete process, from sensing new opportunities and/or threats to seizing organization-specific strategies to transforming towards digitally enabled service organizations. Its novelty is threefold: (1) It offers a new level of shared understanding and stakeholder alignment by making the holistic dependencies visible and tangible; (2) it guides the diverse stakeholders step by step; (3) and is based on a standardized approach which however also enables and supports the customization of steps and guidance to better suit the targeted domain and its needs. Full article
(This article belongs to the Special Issue Design and Development of Healthcare System)
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