Descriptive cross-sectional study assesses attitudes towards artificial intelligence in healthcare among workers, suggesting implications for training and efficiency.
Objective: The appearance of artificial intelligence (AI) technologies has developed as a promising solution to develop healthcare efficiency and improve patient outcomes. The objective of the study was to assess the primary healthcare centers worker’s attitudes towards artificial intelligence in healthcare. Methods and Materials: A descriptive cross-sectional study design has been carried out from period 9 October, 2024 to 1st March, 2025. Non-probability (purposive) sample of (451) primary healthcare centers workers from (12) primary healthcare centers in Baghdad City centers, were selected to participate in the study. Data were collected through a self-report instrument that includes the socio-demographic data (age, sex, marital states, job description, educational qualification, years of experience and AI training), Likert scale of primary healthcare worker’s attitudes towards AI. The data were analyzed using the SPSS-26. Findings: The study results reveals that, more than quarter of the participant age (28.1-34) years (n=115;25.5%), The majority of the study participants didn’t participate in training course regarding artificial intelligence (96.7%). More than third of the study participants have 6-10 years’ experience in primary healthcare centers (34.6%). More than half of the study participant have positive attitudes towards artificial intelligence in healthcare (54.33%). There was a statistical significant positive correlation between the participants age, educational qualification, years of experience and the level attitudes towards artificial intelligence in healthcare (r=.208 at p <0.01: r=.396 at p<0.05: r=.136 at p =0.01) respectively. Conclusion: It can be concluded that more than half of primary healthcare centers workers have positive attitudes regarding artificial intelligence in healthcare.
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Hussien et al. (2025) studied this question.
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