Song Zhenghuan, Cai Jiaqin, Zhou Yihu, Jiang Yueyi, Huang Shiyi, Gu Lianbing, Tan Jing
Department of Anesthesiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 21009, People's Republic of China.
Xuzhou Medical University, Xuzhou, 21009, People's Republic of China.
J Multidiscip Healthc. 2024 Jul 10;17:3295-3304. doi: 10.2147/JMDH.S468539. eCollection 2024.
Artificial intelligence (AI) is increasingly influencing various medical fields, including anesthesiology. The Introduction of artificial intelligent patient-controlled analgesia (Ai-PCA) has been seen as a significant advancement in pain management. However, the adoption and practical application of Ai-PCA by medical staff, particularly in anesthesia and thoracic surgery, have not been extensively studied. This study aimed to investigate the knowledge, attitudes and practices (KAP) among anesthesia and thoracic surgery medical staff toward artificial intelligent patient-controlled analgesia (Ai-PCA).
This web-based cross-sectional study was conducted between November 1, 2023 and November 15, 2023 at Jiangsu Cancer Hospital. A self-designed questionnaire was developed to collect demographic information of anesthesia and thoracic surgery medical staff, and to assess their knowledge, attitudes and practices toward Ai-PCA.
A total of 519 valid questionnaires were collected. Among the participants, 278 (53.56%) were female, 497 (95.76%) were employed in the field of anesthesiology, and 188 (36.22%) had participated in Ai-PCA training. The mean knowledge, attitude, and practice scores were 7.8±1.75 (possible range: 0-10), 37.43±4.16 (possible range: 9-45), and 28.38±9.27 (possible range: 9-45), respectively.
The findings revealed that anesthesia and thoracic surgery medical staff have sufficient knowledge, active attitudes, but poor practices toward the Ai-PCA. Comprehensive training programs are needed to improve anesthesia and thoracic surgery medical staff's practices in this area.
人工智能(AI)正日益影响包括麻醉学在内的各个医学领域。人工智能患者自控镇痛(Ai-PCA)的引入被视为疼痛管理方面的一项重大进展。然而,医务人员,尤其是麻醉和胸外科领域的人员对Ai-PCA的采用和实际应用尚未得到广泛研究。本研究旨在调查麻醉和胸外科医务人员对人工智能患者自控镇痛(Ai-PCA)的知识、态度和实践(KAP)。
本基于网络的横断面研究于2023年11月1日至2023年11月15日在江苏省肿瘤医院进行。设计了一份自填式问卷,以收集麻醉和胸外科医务人员的人口统计学信息,并评估他们对Ai-PCA的知识、态度和实践。
共收集到519份有效问卷。参与者中,女性278人(53.56%),95.76%(497人)从事麻醉学领域工作,36.22%(188人)参加过Ai-PCA培训。知识、态度和实践的平均得分分别为7.8±1.75(可能范围:0 - 10)、37.43±4.16(可能范围:9 - 45)和28.38±9.27(可能范围:9 - 45)。
研究结果表明,麻醉和胸外科医务人员对Ai-PCA有足够的知识和积极的态度,但实践较差。需要综合培训项目来改善麻醉和胸外科医务人员在该领域的实践。