Prevalence of Artificial Intelligence Technology Acceptance in Work Practices and Factors Related among Public Health Personnel at Sub-district Health Promoting Hospitals at Roi-ET Province
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Abstract
This cross-sectional analytical study investigated socioeconomic factors, marketing mix, organizational innovation management, and artificial intelligence (AI) literacy associated with AI technology acceptance in work practices among 198 public health personnel at sub-district health promoting hospitals in Roi Et Province. Data were collected using a questionnaire with a reliability of 0.982 and analyzed using descriptive statistics and Multiple Logistic Regression. The results revealed a high-level AI technology acceptance prevalence of 33.33% (95% CI: 27.08–40.23). Statistically significant factors included marketing mix: promotion and service (AOR = 6.18, 95% CI: 2.12–17.97, p = 0.001) and physical evidence (AOR = 2.86, 95% CI: 1.29–6.33, p = 0.009). Additionally, organizational innovation management: leadership development (AOR = 3.08$, 95% CI: 1.28–7.38, p = 0.012) and AI literacy: AI ethics (AOR = 4.65, 95% CI: 2.07–10.48, p < 0.001) were significant predictors. These findings suggest that enhancing AI acceptance requires systematic interventions, including developing AI ethics curricula for personnel, fostering innovative leadership, and providing adequate information technology infrastructure to ensure responsible AI utilization.
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