The widespread use of information technology in healthcare leads to extensive data
collection, which can be utilised to enhance patient care and manage chronic illnesses. Our …

Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

The focus of this paper is on how data quality can affect business process discovery in real
complex environments, which is a major factor determining the success in any data-driven …

Healthcare managers are confronted with various Capacity Management decisions to
determine appropriate levels of resources such as equipment and staff. Given the significant …

Most process mining techniques are primarily automated, meaning that process analysts
input information and receive output. As a result, process mining techniques function like …

Process mining analyzes events that are logged during the execution of a process, with the
aim of gathering useful information and knowledge. Process discovery algorithms derive …

This chapter introduces a specific application domain of process mining: healthcare.
Healthcare is a very promising domain for process mining given the significant societal …

Process mining can help acquire insightful knowledge and heighten the system's
performance. In this study, we surveyed the trajectories of 1050 sepsis patients in a regional …

Rich streams of continuous data are available through Smart Sensors representing a unique
opportunity to develop and analyse risk models in healthcare and extract knowledge from …

Designing healthcare facilities and their processes is a complex task which influences the
quality and efficiency of healthcare services. The ongoing demand for healthcare services …