Nursing Students Perspective about Integration of Artificial Intelligence into Health Care Services
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Nursing students, as future healthcare professionals, must understand how artificial intelligence can impact patient care and clinical decision making. Aim: To assess nursing students perspective about integration of artificial intelligence into health care services. Study design: Descriptive correlational, design was utilized. Setting: was conducted at Faculty of Nursing, Assiut university. Subject: 551, nursing students from the final academic year = 291 and 260 nursing student from internship year. Methods: Data were collected using : I- Personal data form, II- Nursing students awareness and knowledge regarding integration of AI into healthcare services, and III- Perception about integration of AI into healthcare services, IV- Nursing students attitude toward integration of AI into healthcare services. Results: the study revealed that nearly three fourths of study sample aware regarding to their level of total awareness toward AI (73.3%) , and two thirds of them are knowledgeable about AI, (66.6%) And more than half of the total studied nursing students have high level of total perception(51.4%), less than half of the total studied nursing students have moderate level of total perception(46.6. And (68.4%) of the total studied nursing students have positive attitude toward AI. Conclusion: there was a high statistical significant positive association among students knowledge, perception and attitude regarding AI integration in health care services at (P< 0.001). Recommendation: Encourage further researches into the long- termed impact of AI training on nursing practices, clinical decision-making, patient care, and healthcare outcomes. Key words: Integration of AI, awareness, knowledge, perception, attitude.
Authors: Hassan Fouad Hassan, Amal Sayed Mohamed AbdElhafz, Samah Mohamed Abdalla
Institution: Assiut University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $340
OpenAlex ID: W4417532984
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