Conformance analysis of outpatient data using process mining technique

The main objective of this research was to analyze the consistency of the Out Patient Department (OPD) service process in a hospital with the intention of providing outpatient services in accordance with the standard operating manual using process mining technique and via Conformance Analysis algorithm supported by Disco and ProM. Accordingly, the following steps were undertaken: 1) To make a model obtained from the operating manual in terms of Petri net graphs, 2) To generate a model through Conformance Analysis process mining technique applied on the data previously collected from the actual outpatient services, 3) To summarize and analyze the results. The results of the study showed that the routes with the real service frequencies in the model are consistent. 83% with the results of the work process. Moreover, the approach could help us to distinguish the differences between the actual service and the standard model, so-called bottlenecks. Getting insight about such data could significantly lead to better improvement of the entire service process in a more timely and efficient manner.