Managers' perceptions and attitudes toward the use of artificial intelligence technology in selected hospital settings.

BACKGROUND

Over the past decade, artificial intelligence (AI) has transformed healthcare systems by improving cost control, clinical decision-making, and chronic disease management. This study assessed healthcare managers' perceptions of AI use in hospitals in Yazd, Iran.

METHODS

This applied, descriptive-analytical, cross-sectional study was conducted among 152 healthcare managers in selected hospitals in Yazd, Iran, between March and April 2024. Participants were selected through census sampling. Data were collected using a validated questionnaire. Data were analyzed with Mann-Whitney and Kruskal-Wallis tests in SPSS v26.

RESULTS

The overall perception level of managers was moderate (mean ± SD: 37.42 ± 5.97). Among the examined dimensions (perception, advantages of using, and problems of using artificial intelligence), the "advantages" dimension scored the highest mean (13.5 ± 3.31), while the "perception" dimension scored the lowest (11.66 ± 2.33). Regression analysis showed that operational management level was positively associated with AI perception, while most other factors showed no significant effects, except for a negative interaction between operational management level and 10-20 years of work experience.

CONCLUSIONS

The results of this study demonstrate that while AI technology has garnered attention for its benefits, the general perception of this technology remains weak. These findings highlight the need to enhance awareness and implement educational initiatives for healthcare managers.