ArticleHealth science reports2025
Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Artificial Intelligence-Supported Virtual Nursing at Home: A Systematic Review.Florence Nightingale journal of nursing · 2026Article
- Knowledge, attitude, and perception of artificial intelligence among medical residents in Oman: readiness for clinical practice.BMC medical education · 2026Article
- The strategic trajectory of artificial intelligence in Qatar's healthcare sector: a model for UN Sustainable Development Goal 9.Frontiers in artificial intelligence · 2026Review
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aims to assess the perception and knowledge of hospital workers toward using artificial intelligence (AI) in healthcare in Qatar, exploring the potential implications of AI integration in clinical settings. Methods: A descriptive cross-sectional study was conducted from January 1, 2023, to January 31, 2024, involving healthcare workers (HCWs) from various departments across four leading hospitals affiliated with Hamad Medical Corporation (HMC) in Qatar. A convenience sampling method was used to recruit participants, and data were collected via an anonymous online questionnaire distributed through email and WhatsApp, with hard copies provided as needed. The questionnaire covered demographic information, perception, and knowledge of AI. The data were analyzed using STATA 17.0, with significance set at Results: The study included 902 HCWs, with a gender distribution of 47.6% female and 52.4% male. Most participants were from Asia (50.8%), with 42.7% aged between 35 and 44 years. Most participants were nurses (54.9%), followed by allied health professionals (20.7%), pharmacists (12.2%), and physicians (11.0%). A significant portion of participants (59.8%) reported no prior experience with AI. However, 56.1% felt somewhat comfortable using AI in medical practice, and 72% believed that AI would improve the future of healthcare. Despite this optimism, 81.7% had not yet utilized AI in their practice, though 85.4% expressed a desire to learn more about AI models. Conclusion: The study reveals a positive perception and moderate knowledge of AI among HCWs in Qatar. However, the actual use of AI in clinical practice remains limited. There is a clear need for targeted educational programs to enhance AI proficiency and confidence among healthcare professionals, potentially improving patient outcomes and clinical efficiency. Further research should explore the barriers to AI adoption and develop strategies to facilitate its integration into healthcare systems.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.