Work

Impact of Instructional Guidelines on Surgical Nurses' Knowledge and Attitude regarding Artificial Intelligence Application

Year: 2024

Type: article

Abstract: Background: Artificial intelligence applications have grown vastly across all aspects of healthcare.Nursing practice is critical and AI technology will enhance practice and patient outcomes. Thecurrent study aimed to determine the impact of instructional guidelines on surgical nurses'knowledge and attitude regarding artificial intelligence applications. Design: A quasi-experimentaldesign was utilized to fulfill the aim of this study. Setting: This study was conducted in surgicaldepartments at Sohag University Hospitals. Sample: A convenience sample included (50) nurseswere selected from the previously mentioned settings. Tools: Two tools were used to collect thedata: A self-administered Artificial Intelligence Knowledge Questionnaire and A General Attitudestowards Artificial Intelligence Questionnaire. Results: The total level of knowledge was satisfactoryamong 12% of studied nurses during the instructional guidelines period, while it was 88% postinstructional guidelines. Additionally, the total positive nurses' attitudes mean score improved from44.26 ±22.08 pre-instructional guidelines to 81.07±17.54 post-instructional guidelines withstatistically significant differences. Moreover, highly statistically significant differences betweentotal knowledge and attitude level post-intervention (P<0.001). Conclusion: This study concludedthat the instructional guidelines had a significant positive effect on improving the studied nurses’knowledge and attitudes regarding artificial intelligence applications. Recommendation: encouragenurses to increase their knowledge and attitudes toward artificial intelligence through attendanceworkshops and training programs regarding artificial intelligence applications, which are required toenable them to integrate artificial intelligence applications into nursing practices.

Source: Egyptian Journal of Health Care

DOI: 10.21608/ejhc.2024.378025

Authors: Doha Abdel Hady Abdel Gawad, Badr Ibrahim Ahmed Abdou Abd El Rahman, Manal Mohamed Ahmed Ayed, Samah Mahmoud Sofar

Institution: Alexandria University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: diamond

OpenAlex ID: W4402458902