A multitude of studies have highlighted alarming data on healthcare adverse events and medical errors in many countries, including Italy. Many of these errors appear to be the result of non-compliance with good practices and organizational operating procedures, specified in ministerial...

Process Mining has become a standard in many companies as part of process control in various areas. Previous papers for specific areas have discussed its use to ensure good governance. This paper proposes generic use cases of process mining in the context of assurance activities in the...

Artificial intelligence (AI) is poised to revolutionize healthcare delivery in the United States and around the world. As AI becomes an integral part of the healthcare workflow, it will change the way we model and analyze healthcare delivery and upend the paradigm that has dictated how...

Background: Logistics management in the clinical trials industry is a very challenging undertaking because it involves multiple stakeholders, complex processes, diverse software applications, intensive white-collar jobs, and onerous quality standards. Current business practices are inefficient...

Workflow scheduling aims to optimize task allocation and execution in cloud-fog​ computing environments. Finding an optimal algorithm for workflow scheduling poses a significant challenge due to the complexity and variability of tasks and resources involved. Although meta-heuristic algorithms...

The Four Challenges of Making BPM a Reality -- Leveraging process mining to optimize internal employee mobility strategies -- The Reality Behind the Theory Process Mining in Action -- The Smart Vending Cabinet Leveraging the Industrial Internet of Things for Business Process Improvement --...

Part 1. Workflow and Project Management Theory -- Modern Publishing Operations -- Publishing Workflows -- Project Management -- The Linear Project Life Cycle -- Agile Project Management -- Part 2. Project Management in the Three Areas of Publishing -- Content Creation Project Management --...

We propose a generic workflow for the use of machine learning models to inform decision making and to communicate modelling results with stakeholders. It involves three steps: (1) a comparative model evaluation, (2) a feature importance analysis and (3) statistical inference based on Shapley...

For a detailed discussion of process mining, the objective of this paper is the analysis of the successful implementation of process mining in the practical fields of supply chain management. The research comprises the investigation of use cases in companies that are already actively using...

Die Ausführung von Workflows ist in vielen Anwendungsfeldern zunehmend mit einer Verarbeitung von Kontextinformationen verbunden. Dies ermöglicht es, den Nutzern die richtige Information zur richtigen Zeit zur Verfügung zu stellen, um die Workflow-Ausführung optimal zu unterstützen. Ein...

Chemical enhanced oil recovery (cEOR) relies on the interactions between surface-active components (SACs) of the oil-in-place and injected chemicals to induce favorable physico-chemical changes. In this study, we investigate the effect of oil composition on the performance of chemically-tuned...