Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities
Mohamed Abd El-Monem, A., Elsayed Rashed, S., Ghoneimy Hasanin, A. (2023). Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities. EKB Journal Management System, 3(2), 144-164. doi: 10.21608/ejnsr.2023.277890
Amira Mohamed Abd El-Monem; Samah Elsayed Rashed; Aya Ghoneimy Hasanin. "Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities". EKB Journal Management System, 3, 2, 2023, 144-164. doi: 10.21608/ejnsr.2023.277890
Mohamed Abd El-Monem, A., Elsayed Rashed, S., Ghoneimy Hasanin, A. (2023). 'Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities', EKB Journal Management System, 3(2), pp. 144-164. doi: 10.21608/ejnsr.2023.277890
Mohamed Abd El-Monem, A., Elsayed Rashed, S., Ghoneimy Hasanin, A. Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities. EKB Journal Management System, 2023; 3(2): 144-164. doi: 10.21608/ejnsr.2023.277890

Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities

International Egyptian Journal of Nursing Sciences and Research
Article 9, Volume 3, Issue 2, January 2023, Page 144-164  XML PDF (677.31 K)
Document Type: Original Article
DOI: 10.21608/ejnsr.2023.277890
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Authors
Amira Mohamed Abd El-Monem1; Samah Elsayed Rashed1; Aya Ghoneimy Hasanin2
1Lecturer of Nursing Administration, Faculty of Nursing, Benha University
2Assistant Professor of Nursing Administration, Faculty of Nursing, Benha University
Abstract
Background: Artificial intelligence technologies have the ability to advance nursing practice and make it possible for nurses to give their patients more individualized, evidence-based care through enhancing nurses' professional identity and supporting in solving the problems. Aim: This study aimed to assess artificial intelligence technology and its relation to staff nurses' professional identity and problem solving abilities Research Design: Descriptive correlational research design was used. Setting: Medical and Surgical units at Benha University Hospital. Subjects: Simple random sample of staff nurses (295) who are working in the previous study setting. Tools: Three main tools namely (I) Artificial Intelligence Technology Questionnaire, (II) Nurses’ Professional Identity Questionnaire and (III) Problem Solving Abilities Questionnaire. Results: Nearly two-thirds (66.1%) of staff nurses had high level of perception toward artificial intelligence technology and less than three quarters (72.2%) of them had high perception level of professional identity while more than three fifth (63.8%) of them reported high level of problem-solving abilities. Conclusion: There was highly statistically significant correlation between staff nurses' perception toward artificial intelligence technology, professional identity and their problem solving abilities. Recommendations: Hospital administration should conduct workshops and training programs to increase nurses’ knowledge about the benefits, challenges, and problems concerning implementation of artificial intelligence in health care settings, and head nurses should provide staff nurses with greater autonomy at work to foster their professional identity. Further study is recommended to identify barriers affecting utilization of artificial intelligence in health care settings.
Keywords
Artificial intelligence technology; Professional identity; Problem solving abilities; Staff nurses
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