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277890

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

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Last updated: 22 Jan 2023

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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.

DOI

10.21608/ejnsr.2023.277890

Keywords

Artificial intelligence technology, professional identity, Problem Solving Abilities, Staff nurses

Authors

First Name

Amira

Last Name

Mohamed Abd El-Monem

MiddleName

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Affiliation

Lecturer of Nursing Administration, Faculty of Nursing, Benha University

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First Name

Samah

Last Name

Elsayed Rashed

MiddleName

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Affiliation

Lecturer of Nursing Administration, Faculty of Nursing, Benha University

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Orcid

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First Name

Aya

Last Name

Ghoneimy Hasanin

MiddleName

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Affiliation

Assistant Professor of Nursing Administration, Faculty of Nursing, Benha University

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Volume

3

Article Issue

2

Related Issue

38565

Issue Date

2023-01-01

Receive Date

2022-11-13

Publish Date

2023-01-01

Page Start

144

Page End

164

Print ISSN

2682-4574

Link

https://ejnsr.journals.ekb.eg/article_277890.html

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https://ejnsr.journals.ekb.eg/service?article_code=277890

Order

9

Type

Original Article

Type Code

1,241

Publication Type

Journal

Publication Title

International Egyptian Journal of Nursing Sciences and Research

Publication Link

https://ejnsr.journals.ekb.eg/

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Article

Created At

22 Jan 2023