SBMU Journals
  • New Submission
  • Register
  • Login

Journal of Practical Emergency Medicine

  • Home
  • About
    • About the Journal
    • Editorial Team
    • Policies
    • Statistics
    • Contact
  • Issues
    • Current
    • Archives
  • Announcements
  • Indexing/Abstracting
  • Ethics
    • Ethical Requirements
    • Plagiarism Policy
    • Authorship Conflicts
    • Privacy Statement
    • Malpractice Statements
    • Copyright Notice
    • Intellectual Properties
    • Preprint Policy
    • Artificial Intelligence & Authorship
    • Retraction Cosiderations
  • For Authors
    • New Submission
    • Article Withdrawal
    • Article Processing Charge
    • Author Guidelines
    • Peer Review Process
Advanced Search
  1. Home
  2. Archives
  3. Vol. 10 No. 1 (2023): Continuous volume
  4. Letter to Editor

Vol. 10 No. 1 (2023)

Dey 2023

Artificial Intelligence and Nursing: Dawn of a New Era?

  • Ameneh Marzban
  • Mina Moafi
  • Payam Emami

Journal of Practical Emergency Medicine, Vol. 10 No. 1 (2023), 1 Dey 2023 , Page e18
https://doi.org/10.22037/jpem.v10i1.42763 Published: 2023-08-14

  • View Article
  • Download
  • Cite
  • References
  • Statastics
  • Share

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across various industries and healthcare. With the ever-expanding capabilities of AI, there is growing interest in the exploration of its potential applications in nursing practice to enhance patient care, improve workflow efficiency, and possibly revolutionize healthcare systems. The integration of AI in clinical decision support systems has shown immense promise. AI algorithms can rapidly analyze vast amounts of patient data, symptoms, medical history, and treatment options to provide evidence-based recommendations to healthcare professionals. By augmenting clinical decision-making, AI-powered systems can assist nurses in making well-informed decisions, leading to more accurate diagnoses, personalized treatment plans, and improved patient outcomes.

Moreover, AI technology has the potential to revolutionize patient monitoring and predictive analytics. Smart devices integrated with AI algorithms can continuously monitor patients' vital signs, detect abnormalities, and alert nurses in real-time, enabling early intervention and proactive care. Furthermore, predictive analytics can help identify high-risk patients, predict potential complications, and optimize resource allocation, leading to improvements in patient safety and resource management within healthcare facilities (3). Another thrilling application of AI in nursing is the utilization of virtual nursing assistants or chatbots. These AI-driven virtual assistants can provide patients with personalized health information, respond to their questions, and offer guidance on self-management of chronic conditions. By alleviating the burden of routine nursing duties, virtual nursing assistants would allow nurses to focus more on direct patient care and complex tasks.  Despite the unquestionable potential benefits of AI implementation in nursing practice, it's essential to acknowledge certain considerations and challenges. Maintaining patient privacy and data security, addressing ethical concerns, ensuring the human touch in care delivery, and providing adequate training and support for healthcare professionals in adopting AI technologies are crucial aspects that need careful attention as we move forward.

In conclusion, it is evident that the application of AI in nursing practice holds immense promise and has the potential to herald a new era of healthcare. From clinical decision support systems to predictive analytics and virtual nursing assistants, AI can augment nursing practice, enhance patient outcomes, and optimize healthcare processes. However, it is imperative to proceed prudently, ensuring a delicate balance between technological advancements and empathetic human-centered care.

Keywords:
  • Nursing
  • Intelligence
  • New era
  • pdf

How to Cite

Marzban, A. ., Moafi, M. ., & Emami, P. (2023). Artificial Intelligence and Nursing: Dawn of a New Era?. Journal of Practical Emergency Medicine, 10(1), e18. https://doi.org/10.22037/jpem.v10i1.42763
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

References

Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8(2):e188–e94.

Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artificial Intelligence in healthcare: Elsevier; 2020. p. 25–60.

Swan BA. Assessing the Knowledge and Attitudes of Registered Nurses about Artificial Intelligence in Nursing and Health Care. Nurs Econ. 2021;39(3):139–43.

Moons P, Van Bulck L. ChatGPT: can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals. Eur J Cardiovasc Nurs. 2023;22(7):e55–e9.

Van Bulck L, Couturier R, Moons P. Applications of artificial intelligence for nursing: has a new era arrived? 2023;22(3):e19–e20.

  • Abstract Viewed: 545 times
  • pdf Downloaded: 301 times

Download Statastics

  • Linkedin
  • Twitter
  • Facebook
  • Google Plus
  • Telegram

Make a Submission

Make a Submission

Browse

Developed By

Open Journal Systems

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

Information

  • For Readers
  • For Authors
  • For Librarians
  • Home
  • Archives
  • Submissions
  • About the Journal
  • Editorial Team
  • Contact

This journal is distributed under the terms of CC BY-NC 4.0. Design and publishing by SBMU journals. All credits and honors to PKP for their OJS.

Sitemap | ISSN-ONLINE: 3115-7289

Support Contact: jpem.contact@gmail.com 

Powered by OJSPlus