International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 4
July-August 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Evaluating the Advancement Impact of Ai Health Technologies on Nursing Students

Author(s) Mr. LOKESH G, Mr. RAJESH CHANDRA MISHRA
Country India
Abstract Background: Artificial Intelligence Health Technologies (AIHTs) are rapidly transforming healthcare delivery systems worldwide. Nursing students, as future healthcare professionals, must be prepared to adapt to emerging AI-driven clinical environments. Evaluating their awareness, perceptions, readiness, and expected professional impact is essential for strengthening nursing education and practice. Objectives: This study aimed to evaluate the foresighted effects of Artificial Intelligence Health Technologies on nursing students in terms of knowledge, attitude, readiness, perceived benefits, and anticipated challenges in clinical practice.
Methods: A descriptive cross-sectional study was conducted among undergraduate nursing students using a structured questionnaire. Data were collected regarding demographic variables, awareness of AIHTs, perceived usefulness, expected professional impact, and concerns regarding ethical and technical challenges. Statistical analysis included descriptive and inferential methods.
Results: The study findings revealed that most nursing students demonstrated moderate awareness of AIHTs and expressed positive attitudes toward integrating AI technologies into healthcare settings. Students perceived AI as beneficial for improving patient care accuracy, reducing workload, and supporting clinical decision-making. However, concerns regarding reduced human interaction, ethical issues, and lack of technical training were also reported.
Conclusion: Nursing students showed a favorable perception toward AIHTs but emphasized the need for structured training programs within nursing curricula. Integrating AI education into nursing programs will enhance preparedness for future clinical practice and promote effective utilization of AI-based healthcare systems.
Keywords Artificial Intelligence, Nursing Students, Healthcare Technology, Clinical Decision Support, Nursing Education
Field Medical / Pharmacy
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-04
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.82739
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals