Process Mining for Clinical Workflows

In current scenario healthcare organization and their services are concerned for everyone. Healthcare organizations are continuously upgrading their work practices and standards for better quality. It involves controlling and monitoring of several healthcare processes or careflows which is identified as recent research area for effective utilization of healthcare resources and better satisfaction for stakeholders. For this, it is important to have correct view of care flows inside the hospital because in a hospital environment, the processes show a complex and dynamic behavior, which is difficult to control. Process mining is an emerging research area use to monitoring and controlling of set of processes for better understanding and effective utilization of organization resources. In this paper, we applied some of the process mining techniques with the help of petri net on the real time data of a private community hospital to get meaningful information and knowledge about these flow, for example discover paths followed by particular groups of patients. Basically we analyzed the control flow perspective of process mining. By using a process mining technique this paper has analyzed the healthcare data and the ongoing processes.