Introduction In the UK, primary care is seen as the optimal context for delivering care to an
ageing population with a growing number of long-term conditions. However, if it is to meet …

Dependency graph discovery is a substantial step in heuristic mining algorithms which are
among the most prevalent process discovery methods in the healthcare domain due to their …

Data has become highly valuable for many of companies and organizations. With the
development of advanced data science methods and computer power, extraction of …

Modeling the processes in a healthcare system plays a large role in understanding its
activities and serves as the basis for increasing the efficiency of medical institutions. The …

Identifying the split and join patterns of dependency graphs is an essential step in Heuristics
Mining process discovery methods. The existing methods determine the split/join patterns …

Conformance checking provides a set of techniques for comparing observed behavior
(event logs) with process models. Health care providers apply it for verifying compliance …

Heuristic mining techniques are among the most popular methods in the process discovery
area. This category of methods is composed of two main steps:(1) discovering a …

Patient flow modeling in healthcare plays a large role in understanding the operation of the
system and its characteristics. Besides, modeling techniques can significantly improve the …

This paper presents a method to automatically create stochastic simulation models of clinical
pathways from raw databases. We introduce an automatic procedure to convert a process …

Healthcare services are tightly connected with complex data analysis techniques to enable
optimal resource allocation in medical institutions. This paper proposes a detailed analysis …