Attitude analysis of health employees' on artificial intelligence applications

Nowadays, significant advancements have been made in the field of healthcare in diagnosis, treatment, and care alongside technology. Artificial intelligence and robotics provide support for healthcare professionals and offer facilitative solutions. These solutions contribute to enhancing the quality of care in healthcare services. The increasing complexity and volume of data in the healthcare field indicate that artificial intelligence will be more widely used in this area. Artificial intelligence plays a significant role in medical decision-making processes in the healthcare sector. However, the attitudes of healthcare professionals towards artificial intelligence technologies can affect their effective adoption. The aim of the research is to evaluate the attitudes of healthcare professionals artificial intelligence applications and determine whether these attitudes vary according to demographic characteristics and use of information technologies. A quantitative research method was applied in the study. A survey was used as the data collection method, and 386 assessable survey form was obtained. The data obtained in the research were analyzed using the SPSS 21 program. Values related to the scales were presented through mean and standard deviation values, while data related to demographic variables were presented through frequency distributions. The reliability of the scale was measured using the alpha coefficient (Cronbach's Alpha). Factor analysis was conducted to test the validity of the scale and determine the variables in the scale, and the factor mean was used to calculate the averages of the variables; the normality test was used to determine the suitability of the variables for normal distribution, and the independent samples t-test and one-way anova used to measure whether the difference between the obtained factors is significant or not.