Applications of Statistic Softwares, IT and Artificial Intelligence—A Research Case on ByPass Behavior of Patients at Vietnam Hospitals

Nowadays, in industry 4.0, Artificial intelligence, information technology and statistic softwares such as AMOS and SPSS has influenced the researches conducted in medical sector and hospitals. The increasing number of patients by pass at hospitals in Vietnam caused by their self-transfer recently which increase costs (financial) and time and cross-infection risk at hospitals. From November 2019 to February 2020, authors conduct a Quantitative research with a survey sample of 315 patients in the Northern provinces of Vietnam. Next authors have used software (IT statistics software), in our survey taking place at populous provinces, such as AMOS 22.0 for analyzing CFA affirmation component and then analyzing EFA discovery component with SPSS (also IT software), based on interviews conducted for medical doctors and expert group and data of patients features and their reasons to overtaking. Our research findings show that among factors that impact (positively) on the intention to bypass to higher-level hospital including Reference group (less impact than others 0.249 and influence positively on attitude 0.177), Awareness, and Attitude. We will explore gap of research in a sense that effect of the reference group on attitudes and behaviors bypassing of patients in Northern Vietnam.