Analysis of Hospital Processes from the Time Perspective Using Process Mining

Process mining includes different perspectives, among which is the temporal perspective, which proves to be effective and useful in critical sectors such as health. It allows determining the time differences in a healthcare processes, to identify bottlenecks and eventualities that slow down the operation of processes in hospitals. The objective of this research is to obtain the execution of alternative variants of hospital processes and the execution times of these. To do this, was developed a software component in the Hospital Information System XAVIA HIS, integrating Variants Miner plugin of ProM tool and temporal perspective of Process mining. The result of this research shows tree models of the XAVIA HIS processes execution and the activities involved in the processes. The nodes in the model represent the activities and contain the time metrics of the execution, such as minimum, average, maximum and total duration. The results of the application of the component in the system for which it was developed, will allows to processes analysts to get qualitative and quantitative criteria for making clinical management decisions and will provide a mechanism to generate new knowledge from the interpretation of data stored in the system.