A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam

Year : 2025 | Volume : 15 | Issue : 03 | Page : 11 18
    By

    M.Melvin David,

  • T K Sreedevi,

  • K.Daniel Arun Kumar,

  • M Abhirami,

  • M N Pavithra,

  • R. Aruna Kumari,

  • S Subhavelvizhi,

  • Nigha Anjum S N,

  1. Assistant Professor, Dept. of Community Health Nursing, PES College of Nursing, Andhra Pradesh, India
  2. Associate Professor, Dept. of Mental Health Nursing, PES College of Nursing, Andhra Pradesh, India
  3. Professor, Dept. of Medical Surgical Nursing, PES College of Nursing, Andhra Pradesh, India
  4. Professor, Dept. of Medical Surgical Nursing, PES College of Nursing, Andhra Pradesh, India
  5. Associate Professor, Dept. of Obstetrics and gynaecological Nursing, PES College of Nursing, Andhra Pradesh, India
  6. Assistant Professor, Dept. of Community Health Nursing, PES College of Nursing, Andhra Pradesh, India
  7. Professor, Dept. of Child Health Nursing, PES College of Nursing, Andhra Pradesh, India
  8. Student, Department of Nursing, Andhra Pradesh, India

Abstract

Background: Artificial Intelligence (AI) is rapidly gaining prominence in healthcare, holding the potential to revolutionize patient care and streamline administrative processes. However, the preparedness of future nursing professionals for this technological shift, particularly their knowledge and attitudes towards AI in healthcare, remains a critical yet under-investigated area. This study aimed to assess the knowledge and attitudes of nursing students towards AI in healthcare at a selected nursing college in Kuppam, Andhra Pradesh. Methods: A descriptive cross-sectional study employing a quantitative approach was conducted among 277 nursing students enrolled in a selected nursing college in Kuppam. Data were collected between November 20th and December 2nd, 2023, using a structured questionnaire that included sections on demographics, knowledge of AI in healthcare, and attitudes towards AI in healthcare. The questionnaire was adapted from previous studies and validated by experts. Statistical analysis involved descriptive statistics (frequencies and percentages) and inferential statistics (chi-square test for association and correlation analysis) using SPSS software. Results: The study included 277 female nursing students, with the majority (81.6%) aged ≤20 years and primarily in their 1st year (60.3%). Most students came from rural areas (89.9%) and families with a monthly income of ≤ Rs. 15000 (52.3%). A large proportion lacked computers at home (78.7%) and AI features in their mobiles (89.9%). The level of knowledge towards AI in healthcare was predominantly basic (54.5%). In contrast, the attitude towards AI in healthcare was largely positive (89.9%). The correlation between knowledge and attitude was very weak and not significant (r = 0.015, p = 0.803). Significant associations were found between the level of knowledge and father’s education, mother’s education, and father’s occupation (p<0.01). Attitude levels were significantly associated with age category and academic year (p = 0.011 and p = 0.007, respectively), with younger and 1st-year students showing more positive attitudes. Mother's occupation also showed a significant association with attitude (p = 0.006), where students whose mothers were daily wage workers had lower levels of positive attitude. Conclusion: Despite a largely positive attitude towards AI in healthcare, nursing students in this study predominantly possessed basic knowledge. Socioeconomic factors, particularly parental education and occupation, appear to influence knowledge levels, while age, academic year, and mother's occupation are associated with attitudes. The disconnect between positive attitude and limited knowledge warrants attention in educational interventions to prepare future nurses for AI integration in healthcare. The prevalence of students from rural backgrounds with limited technological resources also highlights potential disparities in access to AI-related information.

Keywords: Artificial Intelligence, Healthcare, Nursing Students, Knowledge, Attitude, Technological Adoption

[This article belongs to Journal of Nursing Science & Practice ]

How to cite this article:
M.Melvin David, T K Sreedevi, K.Daniel Arun Kumar, M Abhirami, M N Pavithra, R. Aruna Kumari, S Subhavelvizhi, Nigha Anjum S N. A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam. Journal of Nursing Science & Practice. 2025; 15(03):11-18.
How to cite this URL:
M.Melvin David, T K Sreedevi, K.Daniel Arun Kumar, M Abhirami, M N Pavithra, R. Aruna Kumari, S Subhavelvizhi, Nigha Anjum S N. A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam. Journal of Nursing Science & Practice. 2025; 15(03):11-18. Available from: https://journals.stmjournals.com/jonsp/article=2025/view=232772


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Regular Issue Subscription Original Research
Volume 15
Issue 03
Received 19/08/2025
Accepted 29/10/2025
Published 20/11/2025
Publication Time 93 Days
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