Care providers’ perception of artificial intelligence: focus on workload, risk, trust, clinical decision-making, and clinical integration.

Abstract

AbstractDespite the widespread use of AI systems in various industries, the sensitivity of human life presents a challenge for healthcare practitioners to realize the potential of AI in clinical settings fully. To address this challenge, this study investigated the factors contributing to the dynamic relationship between AI and clinicians using structural equation modeling. The considered factors were clinicians’ trust in AI, their perception of AI risk and workload, and its impact on clinical decision-making. The findings indicate that AI's ability to reduce workload positively impacts trust, while the perception of AI risk does not significantly impact trust. Also, the results showed that reduced workload and increased trust in AI positively impact the perception of AI-driven clinical decision-making. In contrast, a higher perception of AI risk is negatively related to the perception of AI-driven clinical decision-making. The findings of this study provided pathways for future research and recommendation on factors influencing AI utilization in clinical settings. The study also proposes a better way to integrate AI into clinical workflows that is more likely to improve trust in the technology and subsequent clinical decision-making.