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Nursing Reports
Special Issues
Advancing Nursing Care through Innovative Technologies
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Advancing Nursing Care through Innovative Technologies

A special issue of Nursing Reports (ISSN 2039-4403).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 5806

Special Issue Editor

Dr. Niall S. Higgins

E-Mail Website
Guest Editor
1. West Moreton Health, The Park—Centre For Mental Health, Wacol, Queensland, Australia
2. School of Nursing, Queensland University of Technology, Kelvin Grove, Queensland, Australia
Interests: nursing; e-health; tele-health; innovative technologies

Special Issue Information

Dear Colleagues,

Nurses have a significant impact on patient health outcomes and play a critical role in providing quality patient care. Through the use of innovative technologies, nurses enhance the level of care they deliver to patients and increase the efficiency and effectiveness of their practice. This Special Issue will explore the power and potential of innovative technologies to strengthen nursing care delivery and improve patient health and wellbeing. It will highlight a variety of innovative technological approaches that advance nursing care and examine their past, current and possible future impacts. We invite original contributions in the form of review articles and viewpoint papers that delve into the various advances in nursing care that are facilitated through innovative technologies. Papers may explore, but are not limited to, the following topics (sample titles):

  • Patient-centered engagement through remote monitoring;
  • Suicide prevention through technological innovations in mental health;
  • Nursing education on new technologies to support change and elevate patient care;
  • Predictive analytics to guide nursing care policy;
  • Opportunities and challenges of patient-generated health data for nursing care delivery;
  • Data mining, natural language processing, and AI using big data to advance nursing;
  • Progressive nursing care through smartphones, apps and wearables;
  • Nurses’ involvement in deciding which aspects of their practice are supported by technology.

Dr. Niall S. Higgins
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. Nursing Reports 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 1800 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

  • innovation
  • technology
  • nursing care
  • digital health
  • artificial intelligence
  • m-health
  • e-health

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (3 papers)

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Research

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13 pages, 721 KiB  
Article
Examining Differences in Health-Related Technology Use between Millennial and Older Generations of Caregivers
by Virginia T. Gallagher, Shannon E. Reilly, David Martin, Carol Manning and Kelly M. Shaffer
Nurs. Rep. 2024, 14(4), 2605-2617; https://doi.org/10.3390/nursrep14040192 - 24 Sep 2024
Viewed by 839
Abstract
Background/Objective: Caregivers from the Millennial generation are an emerging and understudied group of unpaid care providers in America who may benefit from digitally delivered support. To inform the design/tailoring of interventions for this group, we aimed to understand how Millennials may differ from [...] Read more.
Background/Objective: Caregivers from the Millennial generation are an emerging and understudied group of unpaid care providers in America who may benefit from digitally delivered support. To inform the design/tailoring of interventions for this group, we aimed to understand how Millennials may differ from other generations of caregivers regarding digital health-related technology use. Methods: Using the Health Information National Trends Survey (HINTS), Version 6, we conducted a cross-sectional study comparing health technology access and use across four generations of unpaid caregivers (n = 545; Millennials, Gen X, Baby Boomers, and Silent Generation) of adults with chronic conditions using chi-square and Kruskal–Wallis non-parametric tests. Results: Compared to Baby Boomer and Silent Generation caregivers, Millennial caregivers more frequently reported having a cellular internet connection, using a wearable activity device, a health/wellness mobile application, choosing telehealth appointments for convenience, and most frequently used social media in general and to view health-related videos (ps < 0.005). Additionally, Millennials were more likely to report possessing a smartphone (compared to Gen X and Silent Generation) and more frequently used social media for peer interaction about health (compared to all older generations; ps < 0.005). Conclusion: Millennials differ from older generations of caregivers regarding health-related technology access and use, which may have implications for intervention design and tailoring. Full article
(This article belongs to the Special Issue Advancing Nursing Care through Innovative Technologies)
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Review

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13 pages, 573 KiB  
Review
Artificial Intelligence in the Organization of Nursing Care: A Scoping Review
by João Ventura-Silva, Maria Manuela Martins, Letícia de Lima Trindade, Ana da Conceição Alves Faria, Soraia Pereira, Samuel Spiegelberg Zuge and Olga Maria Pimenta Lopes Ribeiro
Nurs. Rep. 2024, 14(4), 2733-2745; https://doi.org/10.3390/nursrep14040202 - 2 Oct 2024
Cited by 1 | Viewed by 3679
Abstract
Background: The integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. The aim is to synthesize the evidence on the use of artificial intelligence in the [...] Read more.
Background: The integration of artificial intelligence (AI) in the organization of nursing care has continually evolved, driven by the need for innovative solutions to ensure quality of care. The aim is to synthesize the evidence on the use of artificial intelligence in the organization of nursing care. Methods: A scoping review was carried out based on the Joanna Briggs Institute methodology, following the PRISMA-ScR guidelines, in the MEDLINE, CINAHL Complete, Business Source Ultimate and Scopus® databases. We used ProQuest—Dissertations and Theses to search gray literature. Results: Ten studies were evaluated, identifying AI-mediated tools used in the organization of nursing care, and synthesized into three tool models, namely monitoring and prediction, decision support, and interaction and communication technologies. The contributions of using these tools in the organization of nursing care include improvements in operational efficiency, decision support and diagnostic accuracy, advanced interaction and efficient communication, logistical support, workload relief, and ongoing professional development. Conclusions: AI tools such as automated alert systems, predictive algorithms, and decision support transform nursing by increasing efficiency, accuracy, and patient-centered care, improving communication, reducing errors, and enabling earlier interventions with safer and more efficient quality care. Full article
(This article belongs to the Special Issue Advancing Nursing Care through Innovative Technologies)
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Other

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12 pages, 1260 KiB  
Study Protocol
Exploring the Association between Complexity of Care, Medical Complexity, and Length of Stay in the Paediatric Setting Using a Nursing Minimum Data Set: A Study Protocol
by Manuele Cesare, Fabio D’Agostino and Antonello Cocchieri
Nurs. Rep. 2024, 14(4), 2923-2934; https://doi.org/10.3390/nursrep14040213 - 10 Oct 2024
Viewed by 655
Abstract
Background/Objectives: The complexity of care requires systematic documentation to fully understand its relationship with medical complexity and its impact on patient outcomes. The Nursing Minimum Data Set (NMDS) plays a crucial role by capturing essential nursing data, enabling a detailed analysis of care [...] Read more.
Background/Objectives: The complexity of care requires systematic documentation to fully understand its relationship with medical complexity and its impact on patient outcomes. The Nursing Minimum Data Set (NMDS) plays a crucial role by capturing essential nursing data, enabling a detailed analysis of care and its impact on outcomes, such as length of stay (LOS). However, despite its potential, the use of NMDS in paediatric care remains limited. This study aims to explore the association between nursing and medical complexities and LOS in paediatric patients. Methods: A descriptive, retrospective, monocentric study will be conducted. The data will be collected through a nursing information system (Professional Assessment Instrument (PAIped)) and the hospital discharge register of patients admitted to the paediatric department in 2022 in an Italian university hospital. Conclusions and Expected Results: The use of PAIped will allow for the description of the complexity of care and enable an analysis of its relationship with medical complexity and LOS. Full article
(This article belongs to the Special Issue Advancing Nursing Care through Innovative Technologies)
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