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Dr. amera mohamed :: Publications:

Title:
Artificial Intelligence Technology and its Relation to Staff Nurses' Professional Identity and Problem Solving Abilities
Authors: 1Amira Mohamed Abd El-Monem, 2Samah Elsayed Rashed, 3Aya Ghoneimy Hasanin
Year: 2024
Keywords: Artificial intelligence technology, Professional identity, Problem solving abilities, Staff nurses.
Journal: International Egyptian Journal of Nursing Sciences and Research (IEJNSR)
Volume: 3
Issue: 2
Pages: 144-164
Publisher: Amira Mohamed Abd El-Moneim
Local/International: Local
Paper Link: Not Available
Full paper amera mohamed_EJNSR_Volume 3_Issue 2_Pages 144-164 (1).pdf
Supplementary materials amera mohamed_EJNSR_Volume 3_Issue 2_Pages 144-164 (1).pdf
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.

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