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Shaping the Future of Healthcare: Innovations, Transformations and Challenges in...
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Shaping the Future of Healthcare: Innovations, Transformations and Challenges in Digital Health

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "TeleHealth and Digital Healthcare".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 11738

Special Issue Editor

Dr. Yiannis Koumpouros

E-Mail Website
Guest Editor
Digital Innovation in Public Health Research Lab—DigInHealth, Department of Public and Community Health, University of West Attica, 11521 Athens, Greece
Interests: rehabilitation; health informatics; m-health; e-health; telemedicine; assistive technologies; users satisfaction assessment; strategic management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Embark on an exploration of transformative digital health solutions! Our Special Issue aims to uncover the evolving landscape of digital health innovations, addressing an array of themes and topics to illuminate the future of healthcare. We invite original research papers, reviews, and case studies that traverse various domains within digital health, including, but not limited to, the following:

  1. AI-Enabled Healthcare: Cutting-edge applications of artificial intelligence and machine learning in diagnostics, prognostics, and treatment planning.
  2. Telemedicine Advancements: Innovations in remote patient monitoring, virtual consultations, and telehealth infrastructure development.
  3. Wearable Health Technology: Impact of and advancements in wearable devices for health monitoring, disease management, and wellness tracking.
  4. Digital Mental Health Interventions: Exploring digital platforms for mental health support, therapy, and well-being enhancement.
  5. Precision Medicine and Genomics: Integrating digital tools and data analytics for personalized treatment and genetic-based therapies.
  6. Health Data Analytics and Security: Ethical considerations, data privacy, and cybersecurity in managing health-related data.
  7. Patient-Centric Technologies: Solutions enhancing patient engagement, education, and empowerment in healthcare decision-making.
  8. Public Health and Digital Interventions: Addressing population health challenges through digital solutions and public health informatics.

We seek contributions that showcase significant research outcomes, critical analyses, and promising methodologies within these realms. Researchers, practitioners, and innovators are encouraged to submit their groundbreaking work, propelling digital health towards a more accessible, efficient, and patient-centered future.

Dr. Yiannis Koumpouros
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. Healthcare 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 2700 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

  • telehealth
  • digital innovation
  • digital health
  • eHealth
  • cancer care
  • machine learning
  • artificial intelligence
  • remote patient monitoring
  • hospital care at home
  • digital radiology
  • decision support systems

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

Published Papers (3 papers)

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Research

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14 pages, 2024 KiB  
Article
Sleep Quality and Urinary Incontinence in Prostate Cancer Patients: A Data Analytics Approach with the ASCAPE Dataset
by Ioannis Manolitsis, Georgios Feretzakis, Lazaros Tzelves, Athanasios Anastasiou, Yiannis Koumpouros, Vassilios S. Verykios, Stamatios Katsimperis, Themistoklis Bellos, Lazaros Lazarou and Ioannis Varkarakis
Healthcare 2024, 12(18), 1817; https://doi.org/10.3390/healthcare12181817 - 11 Sep 2024
Viewed by 1128
Abstract
Background: The ASCAPE project aims to improve the health-related quality of life of cancer patients using artificial intelligence (AI)-driven solutions. The current study employs a comprehensive dataset to evaluate sleep and urinary incontinence, thus enabling the development of personalized interventions. Methods: This study [...] Read more.
Background: The ASCAPE project aims to improve the health-related quality of life of cancer patients using artificial intelligence (AI)-driven solutions. The current study employs a comprehensive dataset to evaluate sleep and urinary incontinence, thus enabling the development of personalized interventions. Methods: This study focuses on prostate cancer patients eligible for curative treatment with surgery. Forty-two participants were enrolled following their diagnosis and were followed up at baseline and 3, 6, 9, and 12 months after surgical treatment. The data collection process involved a combination of standardized questionnaires and wearable devices, providing a holistic view of patients’ QoL and health outcomes. The dataset is systematically organized and stored in a centralized database, with advanced statistical and AI techniques being employed to reveal correlations, patterns, and predictive markers that can ultimately lead to implementing personalized intervention strategies, ultimately enhancing patient QoL outcomes. Results: The correlation analysis between sleep quality and urinary symptoms post-surgery revealed a moderate positive correlation between baseline insomnia and baseline urinary symptoms (r = 0.407, p = 0.011), a positive correlation between baseline insomnia and urinary symptoms at 3 months (r = 0.321, p = 0.049), and significant correlations between insomnia at 12 months and urinary symptoms at 3 months (r = 0.396, p = 0.014) and at 6 months (r = 0.384, p = 0.017). Furthermore, modeling the relationship between baseline insomnia and baseline urinary symptoms showed that baseline insomnia is significantly associated with baseline urinary symptoms (coef = 0.222, p = 0.036). Conclusions: The investigation of sleep quality and urinary incontinence via data analysis through the ASCAPE project suggests that better sleep quality could improve urinary disorders. Full article
(This article belongs to the Special Issue Shaping the Future of Healthcare: Innovations, Transformations and Challenges in Digital Health)
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Review

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32 pages, 1099 KiB  
Review
Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics
by Ivana Ognjanović, Emmanouil Zoulias and John Mantas
Healthcare 2024, 12(20), 2041; https://doi.org/10.3390/healthcare12202041 - 15 Oct 2024
Cited by 1 | Viewed by 4084
Abstract
Background: The biomedical and health informatics (BMHI) fields have been advancing rapidly, a trend particularly emphasised during the recent COVID-19 pandemic, introducing innovations in BMHI. Over nearly 50 years since its establishment as a scientific discipline, BMHI has encountered several challenges, such as [...] Read more.
Background: The biomedical and health informatics (BMHI) fields have been advancing rapidly, a trend particularly emphasised during the recent COVID-19 pandemic, introducing innovations in BMHI. Over nearly 50 years since its establishment as a scientific discipline, BMHI has encountered several challenges, such as mishaps, delays, failures, and moments of enthusiastic expectations and notable successes. This paper focuses on reviewing the progress made in the BMHI discipline, evaluating key milestones, and discussing future challenges. Methods: To, Structured, step-by-step qualitative methodology was developed and applied, centred on gathering expert opinions and analysing trends from the literature to provide a comprehensive assessment. Experts and pioneers in the BMHI field were assigned thematic tasks based on the research question, providing critical inputs for the thematic analysis. This led to the identification of five key dimensions used to present the findings in the paper: informatics in biomedicine and healthcare, health data in Informatics, nurses in informatics, education and accreditation in health informatics, and ethical, legal, social, and security issues. Results: Each dimension is examined through recently emerging innovations, linking them directly to the future of healthcare, like the role of artificial intelligence, innovative digital health tools, the expansion of telemedicine, and the use of mobile health apps and wearable devices. The new approach of BMHI covers newly introduced clinical needs and approaches like patient-centric, remote monitoring, and precision medicine clinical approaches. Conclusions: These insights offer clear recommendations for improving education and developing experts to advance future innovations. Notably, this narrative review presents a body of knowledge essential for a deep understanding of the BMHI field from a human-centric perspective and, as such, could serve as a reference point for prospective analysis and innovation development. Full article
(This article belongs to the Special Issue Shaping the Future of Healthcare: Innovations, Transformations and Challenges in Digital Health)
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22 pages, 7542 KiB  
Review
Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities
by Mar Gomis-Pastor, Jesús Berdún, Alicia Borrás-Santos, Anna De Dios López, Beatriz Fernández-Montells Rama, Óscar García-Esquirol, Mònica Gratacòs, Gerardo D. Ontiveros Rodríguez, Rebeca Pelegrín Cruz, Jordi Real, Jordi Bachs i Ferrer and Adrià Comella
Healthcare 2024, 12(11), 1057; https://doi.org/10.3390/healthcare12111057 - 22 May 2024
Cited by 3 | Viewed by 4423
Abstract
Digital health technologies (DHTs) at the intersection of health, medical informatics, and business aim to enhance patient care through personalised digital approaches. Ensuring the efficacy and reliability of these innovations demands rigorous clinical validation. A PubMed literature review (January 2006 to July 2023) [...] Read more.
Digital health technologies (DHTs) at the intersection of health, medical informatics, and business aim to enhance patient care through personalised digital approaches. Ensuring the efficacy and reliability of these innovations demands rigorous clinical validation. A PubMed literature review (January 2006 to July 2023) identified 1250 papers, highlighting growing academic interest. A focused narrative review (January 2018 to July 2023) delved into challenges, highlighting issues such as diverse regulatory landscapes, adoption issues in complex healthcare systems, and a plethora of evaluation frameworks lacking pragmatic guidance. Existing frameworks often omit crucial criteria, neglect empirical evidence, and clinical effectiveness is rarely included as a criterion for DHT quality. The paper underscores the urgency of addressing challenges in accreditation, adoption, business models, and integration to safeguard the quality, efficacy, and safety of DHTs. A pivotal illustration of collaborative efforts to address these challenges is exemplified by the Digital Health Validation Center, dedicated to generating clinical evidence of innovative healthcare technologies and facilitating seamless technology transfer. In conclusion, it is necessary to harmonise evaluation approaches and frameworks, improve regulatory clarity, and commit to collaboration to integrate rigorous clinical validation and empirical evidence throughout the DHT life cycle. Full article
(This article belongs to the Special Issue Shaping the Future of Healthcare: Innovations, Transformations and Challenges in Digital Health)
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