Analogize process mining techniques in healthcare: Sepsis case study

Abstract

Process mining is a bridge between performance and compliance or super glue between process and data oriented analysis. Healthcare organizations are facing the challenges to extract dynamic, complex and cross-functional processes. The issues related to improper data management, collaboration and coordination make the careflows convoluted to perceive. In this paper, we are examining the event log embracing the events of sepsis cases from a hospital. Sepsis is a life threatening condition typically caused by an infection. The events were recorded by the ERP system of the hospital. The research objective is to investigate this healthcare process for two stances: control flow and conformance perusal. Varied process mining techniques are used for exploration and collation of their operation with the event log. We have extracted the useful facts from event logs in form of MXML/XES format, importing in a PROM framework and scrutinize the pathways followed by distinct processes. The results of these stances provide new discernment that facilitates the refinement of the prevailing procedure.