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: 31 December 2024 | Viewed by 3344

Special Issue Editor


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Guest Editor
Department of Public and Community Health, University of West Attica, 11521 Athens, Greece
Interests: rehabilitation; health informatics; e-health; telemedicine; assistive technologies; users satisfaction assessment; strategic management
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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

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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.

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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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Published Papers (2 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
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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
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Review

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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
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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
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