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Exploring nurses' awareness and attitudes toward artificial intelligence: Implications for nursing practice.
Alruwaili, Majed Mowanes; Abuadas, Fuad H; Alsadi, Mohammad; Alruwaili, Abeer Nuwayfi; Elsayed Ramadan, Osama Mohamed; Shaban, Mostafa; Al Thobaity, Abdulellah; Alkahtani, Saad Muaidh; El Arab, Rabie Adel.
Afiliação
  • Alruwaili MM; Department of Nursing Administration & Education, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Abuadas FH; Department of Community Health Nursing, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Alsadi M; Department of Nursing Administration & Education, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Alruwaili AN; Department of Nursing Administration & Education, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Elsayed Ramadan OM; Department of Maternity and Pediatric Health Nursing, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Shaban M; Department of Community Health Nursing, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
  • Al Thobaity A; Department of Medical Surgical Nursing, Nursing College, Taif University, Taif, Saudi Arabia.
  • Alkahtani SM; Ministry of Health, Al Muzahimiyah General Hospital, Riyadh, Saudi Arabia.
  • El Arab RA; Department of Health Management and Informatics, AL Moosa College of Health Sciences, Al Ahsa, Saudi Arabia.
Digit Health ; 10: 20552076241271803, 2024.
Article em En | MEDLINE | ID: mdl-39114115
ABSTRACT

Introduction:

Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses' awareness and attitudes toward AI-integrated tools used in clinical practice.

Methods:

A descriptive cross-sectional design captured nurses' responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections demographic information, an assessment of nurses' AI knowledge, and the general attitudes toward the AI scale.

Results:

Nurses displayed "moderate" levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered "aware" of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (M = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, p < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, p < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, p < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes.

Conclusion:

Healthcare and nursing administrators need to work on increasing the nurses' awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses' concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. Change management strategies may help overcome any hindrances.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Arábia Saudita