During the acute phase of the COVID-19 pandemic, hospitals faced a challenge to manage
patients, especially those with other comorbidities and medical needs, such as cancer …

Background Various machine learning and artificial intelligence methods have been used to
predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet …

The impact of the COVID-19 pandemic involved the disruption of the processes of care and
the need for immediately effective re-organizational procedures. In the context of digital …

Process mining is a discipline sitting between data mining and process science, whose goal
is to provide theoretical methods and software tools to analyse process execution data …

The recent increase in the availability of medical data, possible through automation and
digitization of medical equipment, has enabled more accurate and complete analysis on …

Thanks to its ability to offer a time-oriented perspective on the clinical events that define the
patient's path of care, Process Mining (PM) is assuming an emerging role in clinical data …

Introduction Cancer is a primary public concern in the European continent. Due to the large
case numbers and survival rates, a significant population is living with cancer needs …

(1) Background: During a pandemic, patients and processes in the emergency department
(ED) change. These circumstances affect the length of stay (LOS) or degree of crowding in …

The sudden admission of many patients with similar needs caused by the COVID-19 (SARS-
CoV-2) pandemic forced health care centers to temporarily transform units to respond to the …

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 …