A Thematic Analysis of Professional Gaps, Experiences, and Systemic Challenges in Integrating Artificial Intelligence in Healthcare
DOI:
https://doi.org/10.56294/saludcyt20262640Keywords:
Artificial Intelligence, Diagnostic Tools, Healthcare Professionals, Perceptions, Saudi ArabiaAbstract
Introduction: artificial intelligence (AI) is increasingly transforming clinical decision-making and diagnostic accuracy across healthcare systems worldwide. However, despite growing interest in Saudi Arabia, the perceptions and readiness of healthcare professionals toward AI integration remain underexplored. This study aimed to evaluate healthcare professionals’ perceptions, experiences, and challenges regarding the use of AI-powered diagnostic and predictive analytics tools in hospital settings in Jeddah, Saudi Arabia, and to examine the factors influencing their adoption and confidence levels.
Methods: a descriptive cross-sectional study was conducted among 240 healthcare professionals, including physicians, nurses, specialists, and allied health staff from selected hospitals in Jeddah. Data were collected using a validated bilingual questionnaire assessing familiarity, training, usage patterns, perceived benefits, and barriers to AI implementation. Quantitative data were analyzed using descriptive statistics and Chi-square tests, while qualitative responses underwent thematic SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis.
Results: overall, 59.2% of participants reported using AI tools, primarily in diagnostic imaging. Although most participants demonstrated moderate familiarity with AI, only 30% expressed confidence in AI-based diagnostics. Significant associations were observed between professional roles, years of experience, and AI utilization (p < 0.05). Major challenges included limited training, cost, and lack of institutional support. SWOT analysis revealed a strong willingness to adopt AI but highlighted patient resistance and ethical concerns as persisting threats.
Conclusion: AI integration in Saudi hospitals is advancing yet constrained by training and trust gaps. Strengthening institutional frameworks, implementing national AI competency programs, and aligning initiatives with Vision 2030 are essential to ensure effective, ethical, and sustainable AI adoption.
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Copyright (c) 2026 Ahmed E. Altyar, Mohammad Jaffar Mantargi, Sabrin R. M. Ibrahim, Samia Sabbagh, Hazem G. A. Hussein, Bayan Al Zoabi, Mai Albaik (Author)
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