Healthcare systems worldwide face increasing challenges due to workforce shortages, rising demands, and administrative burdens. Automation technologies, such as robotic process automation (RPA) and AI-enhanced intelligent automation (IA), offer promising solutions to improve process efficiency and alleviate repetitive manual tasks. However, the impact of automation in healthcare remains underexplored, especially regarding back-office processes that do not directly influence patients. This study investigates the practical utilization and impact of automation through a multi-case study conducted in two large-sized Finnish healthcare organizations. Using the PROVE-IT model, the research identifies key mechanisms by which automation has affected operational efficiency and employee workload. While automation has reduced administrative burdens and improved efficiency, the study underscores the need for systematic monitoring and evaluation of automation benefits. By extending the PROVE-IT model, this research provides a structured approach for healthcare organizations to evaluate the impact of automation. Future research should focus on developing holistic monitoring and evaluation processes for healthcare automation. As part of an ongoing impact assessment process, the PROVE-IT model can aid healthcare organizations in optimizing workflows and proactively addressing possible implementation challenges.