Adoption challenges to artificial intelligence literacy in public healthcare: an evidence based study in Saudi Arabia DOI Creative Commons

Rakesh Kumar,

Ajay Singh, Ahmed Subahi Ahmed Kassar

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

In recent years, Artificial Intelligence (AI) is transforming healthcare systems globally and improved the efficiency of its delivery. Countries like Saudi Arabia are facing unique adoption challenges in their public healthcare, these specific to AI literacy, understanding effective usage technologies. addition, cultural, regulatory operational barriers increase complication integrating literacy into operations. spite critical contribution enabling sustainable development, limited studies have addressed challenges. Our study explores context Arabian sector, focusing on relevance for advancing operations achieving Sustainable Development Goals (SDGs). The research aims identifying addressing within Arabia. enhance necessity enhancing operations, hurdles that impede successful Arabia's ecosystem. employs a qualitative analysis using T-O-E framework explore literacy. Additionally, Best-Worse Method (BWM) applied evaluate across various levels supply chain. uncovers substantial at operational, tactical, strategic level, including institutional readiness, data privacy, compliance with frameworks. These complicate chains. offers insights issues affecting promotion sector. This evidence-based provides essential commendations professionals policymakers effectively address identified challenges, nurturing an environment beneficial integration goals development.

Language: Английский

Precision Management in Chronic Disease: An AI Empowered Perspective on Medicine-Engineering Crossover DOI Creative Commons
Chaoqun Dong, Yan Ji,

Zhongmin Fu

et al.

iScience, Journal Year: 2025, Volume and Issue: 28(3), P. 112044 - 112044

Published: Feb. 17, 2025

Language: Английский

Citations

1
The Role of Personality Traits in Nursing Students’ Attitudes Toward Artificial Intelligence DOI Open Access

Areti Tsiara,

Vissarion Bakalis, Aikaterini Toska

et al.

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

This study assesses nursing students' attitudes toward artificial intelligence (AI) and examines the role of personality traits in shaping these attitudes. Methods: A cross-sectional was conducted which 159 students from University Thessaly participated. Data were collected using General Attitudes Toward Artificial Intelligence Scale (GAAIS) to measure AI Ten Item Personality Inventory (TIPI) assess traits. Statistical analysis included descriptive inferential methods, such as correlation factor analysis. The significant level set p<0.05. Results: findings revealed moderately positive (mean attitude score: 3.22 out 5). Extraversion openness experience positively correlated with attitudes, while maternal education significantly associated lower negative Conclusion: Nursing demonstrate a cautious optimism AI, playing key their perceptions. Addressing concerns about through targeted educational programs could enhance confidence willingness adopt professional practice. These emphasize importance integrating into curricula bridge knowledge gaps promote effective use technologies healthcare.

Language: Английский

Citations

0
The Application of AI in Clinical Nursing, Yields Several Advantageous Outcomes DOI
Habib Ahmed,

Naeema Akber,

Mohammad Saleem

et al.

Indus journal of bioscience research., Journal Year: 2025, Volume and Issue: 3(2), P. 591 - 599

Published: March 6, 2025

AI applications in nursing practice deliver transformative improvements for patient care while reducing workflow disruptions and serving healthcare workers better. This research explores how helps professionals through clinical decision systems as well observation workload optimization mental health resource delivery. Through their integration of support tools predictive analytics along with automation technologies experience better efficiency together lower administrative burdens improved safety. The use delivers individualized to nurses that enable them protect themselves from burnout stress. adoption technology faces crucial ethical obstacles include privacy risks related information systemic bias within algorithms social repercussions deployment. complete benefits depend on an equilibrium between technological progress patient-focused approaches. future success depends the education into curricula preparation AI-driven environments. demonstrates enables transformation but calls monitoring practices continuous assessment produce fair effective deployment outcomes.

Language: Английский

Citations

0
Development and psychometric evaluation of the artificial intelligence attitude scale for nurses DOI Creative Commons
Tuğba Öztürk Yıldırım, Mesut Karaman

BMC Nursing, Journal Year: 2025, Volume and Issue: 24(1)

Published: April 22, 2025

Language: Английский

Citations

0
Adoption challenges to artificial intelligence literacy in public healthcare: an evidence based study in Saudi Arabia DOI Creative Commons

Rakesh Kumar,

Ajay Singh, Ahmed Subahi Ahmed Kassar

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

In recent years, Artificial Intelligence (AI) is transforming healthcare systems globally and improved the efficiency of its delivery. Countries like Saudi Arabia are facing unique adoption challenges in their public healthcare, these specific to AI literacy, understanding effective usage technologies. addition, cultural, regulatory operational barriers increase complication integrating literacy into operations. spite critical contribution enabling sustainable development, limited studies have addressed challenges. Our study explores context Arabian sector, focusing on relevance for advancing operations achieving Sustainable Development Goals (SDGs). The research aims identifying addressing within Arabia. enhance necessity enhancing operations, hurdles that impede successful Arabia's ecosystem. employs a qualitative analysis using T-O-E framework explore literacy. Additionally, Best-Worse Method (BWM) applied evaluate across various levels supply chain. uncovers substantial at operational, tactical, strategic level, including institutional readiness, data privacy, compliance with frameworks. These complicate chains. offers insights issues affecting promotion sector. This evidence-based provides essential commendations professionals policymakers effectively address identified challenges, nurturing an environment beneficial integration goals development.

Language: Английский

Citations

0