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Artificial Intelligence Technology and its Relation to Decision Making Abilities as perceived by First Line Managers

Article

Last updated: 28 Dec 2024

Subjects

-

Tags

Medical and Health Science.

Abstract

Background: Artificial intelligence technology is becoming vital for supporting first-line managers and other healthcare providers in healthcare delivery, and decision-making abilities. The study aimed to assess artificial intelligence technology and its relation to decision making abilities as perceived by first line managers. Study design: Descriptive correlational design was utilized to conduct this study. Setting: The study was conducted in all inpatient units at Benha University Hospital. Subjects: Included all available first-line managers 57 who are working at the previously mentioned study settings during the time of data collection. Tools: Two tools were used for data collection; (1st tool) Artificial intelligence technology questionnaire, and (2nd tool) Decision-making abilities scale. The study results showed that, the majority (80.7% & 84.2%) of first-line managers had high perception level toward artificial intelligence technology, and high decision-making abilities levels, respectively. Also, less than one fifth (15.8%) of them had moderate perception level of artificial intelligence technology, and moderate decision-making abilities levels. The study concluded that, there was a highly statistically significant positive correlation between total artificial intelligence technology and total decision-making abilities as perceived by first-line managers. The study recommended that, enhancing the readiness of organizations for using artificial intelligence through providing good infrastructure and budgeting, and developing a reward system for first-line managers with effective decision-making to encourage others to do the same.
Background: Technology using artificial intelligence is essential for assisting first-line managers and other healthcare personnel with healthcare delivery and decision-making skills.The study aimed Assess the relationship between artificial intelligence technologies and decision-making skills as judged by first-line managers. Study design: Using a descriptive correlational methodology, this research was conducted. Setting: The research was done in all Benha University Hospital inpatient wards. Subjects: Included all available first-line managers 57 at the time of data collection who are employed in the previously indicated research settings.Tools: Two tools were used for data collection; (1st tool) Artificial intelligence technology questionnaire, and (2nd tool) Decision-making abilities scale. The study results showed that, Eighty-point-seven percent and eighty-four percent, respectively, of first-line managers had a favourable opinion of artificial intelligence technology and decision-making skills. In addition, fewer than one-fifth of them (15.8 percent) possessed a moderate understanding of artificial intelligence technologies and decision-making skills.The study concluded that, There were extremely substantial positive connections between overall artificial intelligence technologies and total decision-making capabilities, as evaluated by first-line managers. The study recommended that, Designing periodic training programmes and seminars to expand and refresh first-line managers'' understanding of artificial intelligence technology and decision-making skills, and preparing businesses for the use of artificial intelligence by providing enough infrastructure and financing.

Keywords

Artificial intelligence technology, Decision making abilities, First line managers, Perceived

Authors

First Name

Hend

Last Name

Elsayed

MiddleName

-

Affiliation

Nursing Administration Dept.,Faculty of Nursing, Benha University

Email

hendsalah.nur@gmail.com

City

-

Orcid

-

First Name

Ebtsam

Last Name

Ahmed

MiddleName

-

Affiliation

Nursing Administration Dept.,Faculty of Nursing, Benha University

Email

ebtsamsaeed3@yahoo.com

City

-

Orcid

-

First Name

Amira

Last Name

Abd Elmonem

MiddleName

-

Affiliation

Nursing Administration Dept.,Faculty of Nursing, Benha University

Email

amiramohammad8@yahoo.com

City

-

Orcid

-

Volume

8

Article Issue

4

Related Issue

41779

Issue Date

2023-04-01

Receive Date

2023-04-04

Publish Date

2023-04-30

Page Start

253

Page End

261

Print ISSN

2356-9751

Online ISSN

2356-976X

Link

https://bjas.journals.ekb.eg/article_289070.html

Detail API

https://bjas.journals.ekb.eg/service?article_code=289070

Order

24

Type

Original Research Papers

Type Code

1,647

Publication Type

Journal

Publication Title

Benha Journal of Applied Sciences

Publication Link

https://bjas.journals.ekb.eg/

MainTitle

Artificial Intelligence Technology and its Relation to Decision Making Abilities as perceived by First Line Managers

Details

Type

Article

Created At

28 Dec 2024