Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

Process mining, an emerging data analytics method, has been used effectively in various
healthcare contexts including oncology, the study of cancer. Cancer is a complex disease …

The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

Business process analysis and process mining, particularly within the health care domain,
remain under-utilized. Applied research that employs such techniques to routinely collected …

In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …

Process mining techniques relate observed behavior (ie, event logs) to modeled behavior
(eg, a BPMN model or a Petri net). Process models can be discovered from event logs and …

Process mining techniques relate observed behavior (ie, event logs) to modeled behavior
(eg, a BPMN model or a Petri net). Processes models can be discovered from event logs …

Objective To survey network analyses of datasets collected in the course of routine
operations in health care settings and identify driving questions, methods, needs, and …

Variations that exist in the treatment of patients (with similar symptoms) across different
hospitals do substantially impact the quality and costs of healthcare. Consequently, it is …

Real world applications provide many examples of unstructured processes, where process
execution is mainly driven by contingent decisions taken by the actors, with the result that …