Increasing Proactive Healthcare: An Automated Approach Within Screening Process For Breast Cancer

Abstract: Breast cancer is the most common cancer and 8 700 individuals in Sweden were diagnosed with breast cancer in 2021. Thanks to improved diagnostic methods and more effective treatment, nine out of ten women who develop breast cancer survive. The aim of the study was to assess the impact on the administrative time of healthcare professionals in the breast cancer screening process when the process is automated using Robot Process Automation (RPA). The study developed a process model of the screening process and a cost estimate of how much time could be saved by integrating RPA based on input from healthcare staff. The study used the methodology Design Thinking Method in conjunction with the methodology Case Study. The overall results of this study show that RPA can replace certain administrative tasks in the breast cancer screening process to reduce administrative time. It shows that the breast cancer screening process has the potential to be automated and the cost estimates show that an automated system could save between 30-80 hours of manual work per year. Further research is needed to determine how other screening processes can benefit from automating manual tasks with RPA and thus integrate RPA on a larger scale.