N Adithyan, Chowdhury Rupal Roy, L Padmavathy, Peter Roshni Mary, Vv Anantharaman
Community Medicine, SRM Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Chengalpattu, IND.
Cureus. 2024 Sep 22;16(9):e69910. doi: 10.7759/cureus.69910. eCollection 2024 Sep.
Artificial intelligence (AI) has the potential to transform healthcare practices, but the successful adoption of AI depends on the perception and acceptance of healthcare professionals. This study aimed to assess the understanding of AI concepts, recognize the attitude toward AI integration, and identify the barriers to AI adoption among healthcare professionals in a tertiary care hospital.
A cross-sectional study was conducted among 200 healthcare professionals, including doctors, nurses, and paramedics, in a tertiary care teaching hospital in Chengalpattu district, India. A semi-structured questionnaire was used to collect data on sociodemographic characteristics, knowledge, attitude, and perceived barriers to AI adoption. The chi-square test was used to analyze the associations between variables.
The majority of the participants, i.e., 54% (n = 108), had moderate knowledge about AI adoption, while 48% (n = 96) had a low attitude toward it. Barriers to the adoption of AI in healthcare practices among healthcare professionals were low among the majority, i.e., 49% (n = 98), of the participants. A statistically significant association was found between knowledge and attitude (X² = 18.052, df = 4, p = 0.001), i.e., healthcare professionals with moderate knowledge levels had low attitudes toward the adoption of AI. A statistically significant association was also found between knowledge and perceived barriers (X² = 31.235, df = 4, p = 0.00), i.e., healthcare professionals with higher knowledge levels perceived lower barriers to the adoption of AI.
The study highlights the need for education and training to improve knowledge, foster positive attitudes, and address the perceived barriers to AI adoption among healthcare professionals. Future research should focus on developing targeted interventions to enhance the understanding and acceptance of AI in healthcare practices.
人工智能（AI）有潜力改变医疗保健实践，但AI的成功应用取决于医疗保健专业人员的认知和接受程度。本研究旨在评估医疗保健专业人员对AI概念的理解，识别他们对AI整合的态度，并确定三级护理医院中医疗保健专业人员采用AI的障碍。
在印度钦加尔帕图区的一家三级护理教学医院，对200名医疗保健专业人员（包括医生、护士和护理人员）进行了一项横断面研究。使用半结构化问卷收集有关社会人口学特征、知识、态度以及采用AI的感知障碍的数据。采用卡方检验分析变量之间的关联。
大多数参与者，即54%（n = 108），对AI采用有中等程度的了解，而48%（n = 96）对其态度较低。大多数参与者，即49%（n = 98），认为医疗保健专业人员在医疗实践中采用AI的障碍较低。知识与态度之间存在统计学上的显著关联（X² = 18.052，df = 4，p = 0.001），即知识水平中等的医疗保健专业人员对采用AI的态度较低。知识与感知障碍之间也存在统计学上的显著关联（X² = 31.235，df = 4，p = 0.00），即知识水平较高的医疗保健专业人员认为采用AI的障碍较低。
该研究强调了开展教育和培训的必要性，以提高知识水平、培养积极态度并解决医疗保健专业人员在采用AI方面的感知障碍。未来的研究应侧重于制定有针对性的干预措施，以增强医疗实践中对AI的理解和接受程度。
