ArticleCureus2024
Perception of the Adoption of Artificial Intelligence in Healthcare Practices Among Healthcare Professionals in a Tertiary Care Hospital: A Cross-Sectional Study.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.Healthcare (Basel, Switzerland) · 2026Review
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- Article
- Assessing Primary Care Physicians' Readiness for AI-Based Adaptive Learning: Perceptions, Barriers, and Learning Needs in Northern Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units.BMC nursing · 2025Article
- Evolving Perceptions and Attitudes to Adopting Generative AI in Professional Settings: Multicenter Longitudinal Qualitative Study of Senior Chinese Hospital Leaders.Journal of medical Internet research · 2025Article
- Personalized AI for workplace health promotion: performance management and healthcare worker engagement through digital analytics.Frontiers in public health · 2025Review
- Artificial Intelligence Challenges in the Healthcare Industry: A Systematic Review of Recent Evidence.Healthcare technology lettersReview
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) has the potential to transform healthcare practices, but the successful adoption of AI depends on the perception and acceptance of healthcare professionals. This study aimed to assess the understanding of AI concepts, recognize the attitude toward AI integration, and identify the barriers to AI adoption among healthcare professionals in a tertiary care hospital.
methodsA cross-sectional study was conducted among 200 healthcare professionals, including doctors, nurses, and paramedics, in a tertiary care teaching hospital in Chengalpattu district, India. A semi-structured questionnaire was used to collect data on sociodemographic characteristics, knowledge, attitude, and perceived barriers to AI adoption. The chi-square test was used to analyze the associations between variables.
resultsThe majority of the participants, i.e., 54% (n = 108), had moderate knowledge about AI adoption, while 48% (n = 96) had a low attitude toward it. Barriers to the adoption of AI in healthcare practices among healthcare professionals were low among the majority, i.e., 49% (n = 98), of the participants. A statistically significant association was found between knowledge and attitude (X² = 18.052, df = 4, p = 0.001), i.e., healthcare professionals with moderate knowledge levels had low attitudes toward the adoption of AI. A statistically significant association was also found between knowledge and perceived barriers (X² = 31.235, df = 4, p = 0.00), i.e., healthcare professionals with higher knowledge levels perceived lower barriers to the adoption of AI.
conclusionThe study highlights the need for education and training to improve knowledge, foster positive attitudes, and address the perceived barriers to AI adoption among healthcare professionals. Future research should focus on developing targeted interventions to enhance the understanding and acceptance of AI in healthcare practices.
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