Objectives To investigate anesthesiologists’ knowledge and attitudes (KAs) toward artificial intelligence–assisted patient‐controlled analgesia (AI‐PCA) management. Methods This cross‐sectional survey was conducted across multiple cities in Shandong Province, China, including both coastal and inland cities. Currently practicing anesthesiologists who volunteered to participate were enrolled. The primary outcome was the knowledge score related to AI‐PCA, while the secondary outcome was the attitude score toward AI‐PCA. KA was evaluated using a self‐designed questionnaire. KA scores were expressed as percentages of their total possible scores, with ≥ 70% considered indicative of adequate knowledge or a positive attitude. Results A total of 332 valid questionnaires were analyzed, revealing a mean knowledge score of 9.48 ± 6.31 out of 24 (39.50%) and a mean attitude score of 51.46 ± 7.51 out of 65 (79.17%), indicating a poor knowledge but generally positive attitude. Factors significantly associated with higher knowledge included working in hospitals that offer AI‐PCA training (OR = 6.206, 95% CI: 1.794–21.470, and p = 0.004) and active promotion of AI‐PCA (OR = 3.757, 95% CI: 1.184–11.925, and p = 0.025). Knowledge was independently associated with attitude (OR = 1.087, 95% CI: 1.025–1.153, and p = 0.005). Conclusions Anesthesiologists in Shandong Province demonstrated poor knowledge but positive attitudes toward AI‐PCA. Those employed in hospitals that promote and provide training on AI‐PCA exhibited significantly higher knowledge levels, highlighting the need for enhanced training initiatives. These findings highlight the need for education programs to bridge the knowledge gap and enhance AI‐PCA implementation.
Li et al. (Thu,) studied this question.