We present an approach for improving the performance of complex knowledge-based
processes by providing data-driven step-by-step recommendations. Our framework uses the …

Large amount of data is collected in event logs from information systems, reflecting the
actual execution of business processes. Due to the highly competitive pressure in the …

Process mining techniques have been used to discover and analyze workflows in various
fields, ranging from business management to healthcare. Much of this research, however …

In this study, we present a framework for analyzing associations between patient cohorts
and the trauma resuscitation procedures their patients received. Our framework works by …

We present our process mining system for analyzing the trauma resuscitation process to
improve medical team performance and patient outcomes. Our system has four main parts …

Sense-making with respect to actor-based systems is challenging because of the non-
determinism arising from concurrent behaviour. One strategy is to produce a trace of event …

This chapter on Medical Workflow Modeling with Alignment-Guided State-Splitting HMM is
based on our paper [4][5]. Process mining techniques have been used to discover and …

Most enterprises and organizations have digitized their work by implementing process-
aware information systems. These systems typically record a large amount of event data …

Process mining is a discipline of data science that provides comprehensive tools to obtain
meaningful fact-based insights and thereby act as a means to improve the process. The …