Examining Healthcare Workers' Artificial Intelligence Anxiety Status

In recent years, the use of artificial intelligence in the healthcare field has become widespread. Artificial intelligence can be defined as machine learning capable of understanding, evaluating, and processing information. Artificial intelligence in healthcare also has sub-purposes such as reducing costs and medical errors and reducing the workload of healthcare workers. The purpose of this research is to examine healthcare workers' concerns about artificial intelligence. The research was conducted using quantitative methods and is descriptive in nature. 381 healthcare workers working in the central districts of Konya province were included in the study. Parametric tests were applied to artificial intelligence data using SPSS. Statistical analyses revealed a total average score of 4.05 for artificial intelligence anxiety, a learning subscale average of 3.18, a job switching subscale average of 4.60, a sociotechnical blindness subscale average of 4.69, and an artificial intelligence configuration subscale average of 4.40. All values except the learning subscale were above the scale's midpoint The study revealed that healthcare workers' artificial intelligence anxiety was above moderate. It is recommended that artificial intelligence applications in healthcare be included in healthcare workers' in-service artificial intelligence.