A5022719907- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Semantic Web and Ontologies
- Big Data and Business Intelligence
- Petri Nets in System Modeling
- Software System Performance and Reliability
- Manufacturing Process and Optimization
- Quality and Supply Management
- Information Technology Governance and Strategy
- Simulation Techniques and Applications
- Robotic Process Automation Applications
- Scheduling and Optimization Algorithms
- Flexible and Reconfigurable Manufacturing Systems
- Outsourcing and Supply Chain Management
- Construction Project Management and Performance
- ERP Systems Implementation and Impact
- Insurance and Financial Risk Management
- Risk Management in Financial Firms
- Privacy-Preserving Technologies in Data
- Quality and Management Systems
- BIM and Construction Integration
- Cloud Computing and Resource Management
- Data Visualization and Analytics
- Collaboration in agile enterprises
Queensland University of Technology
2015-2024
Eindhoven University of Technology
2009-2024
FH Aachen
2024
OpTek Systems (United Kingdom)
2024
Karolinska Institutet
2022
Pontificia Universidad Católica de Chile
2022
Research Foundation - Flanders
2022
Universitat Politècnica de València
2022
University of Applied Sciences Upper Austria
2022
Hasselt University
2022
Process mining techniques can be used to analyse business processes using the data logged during their execution. These are leveraged in a wide range of domains, including healthcare, where it focuses mainly on analysis diagnostic, treatment, and organisational processes. Despite huge amount generated hospitals by staff machinery involved healthcare processes, there is no evidence systematic uptake process beyond targeted case studies research context. When developing distinguishing...
The Acute Disease Quality Initiative (ADQI) Workgroup recently released a consensus definition of sepsis-associated acute kidney injury (SA-AKI), combining Sepsis-3 and Kidney Improving Global Outcomes (KDIGO) AKI criteria. This study aims to describe the epidemiology SA-AKI.This is retrospective cohort carried out in 12 intensive care units (ICUs) from 2015 2021. We studied incidence, patient characteristics, timing, trajectory, treatment, associated outcomes SA-AKI based on ADQI...
Purpose The purpose of this paper is to demonstrate that process verification has matured a level where it can be used in practice. This reports on new techniques assess the correctness real‐life models. Design/methodology/approach proposed approach relies using formal methods determine business processes with cancellation and OR‐joins. also demonstrates how reduction rules improve efficiency. These are presented context workflow language yet another (YAWL) provides direct support for 20...
Business process analysis and mining, particularly within the health care domain, remain under-utilized. Applied research that employs such techniques to routinely collected data enables stakeholders empirically investigate as it is delivered by different providers. However, cross-organizational mining comparative of processes present a set unique challenges in terms ensuring population activity comparability, visualizing mined models, interpreting results. Without addressing these issues,...
Many organisations now seek to analyse and improve their processes using event logs from various IT systems supporting operations. Process mining aims obtain insights such process data, discovery, conformance checking performance measures. While many commercial tools feature user-friendly directly follows-based maps, they typically do not offer a way assess the quality of model, leaving users with potentially unreliable insights, which could lead wrong conclusion being drawn these insights....
Process mining has been successfully applied in the healthcare domain and helped touncover various insights for improving processes. While benefits of process miningare widely acknowledged, many people rightfully have concerns about irresponsible uses personaldata. Healthcare information systems contain highly sensitive regulationsoften require protection data privacy. The need to comply with strict privacy requirements mayresult a decreased utility analysis. Until recently, issues did not...
Abstract Process mining is an active research domain and has been applied to understand improve business processes. While significant conducted on the development improvement of algorithms, evidence application process in organizations far more limited. In particular, there limited understanding opportunities challenges using organizations. Such potential guide by highlighting barriers for adoption and, thus, can contribute successful initiatives practice. this respect, paper provides a...
The management of risk in business processes has been the subject active research past few years. Potentially, many benefits can be obtained by integrating two traditionally separated fields and process management, including ability to minimize risks design mitigate such at run time. While there an increasing amount aimed delivering integrated system, these efforts vary terms scope, goals, functionality. Through systematic collection evaluation relevant literature, this article compares...
The abundance of event data in today’s information systems makes it possible to “confront” process models with the actual observed behavior. Process mining techniques use logs discover that describe behavior, and check conformance by diagnosing deviations between reality. In many situations, is desirable mediate a preexisting model Hence, we would like repair while improving correspondence log as much possible. approach presented this article assigns predefined costs actions (allowing...
Abstract Process mining—a suite of techniques for extracting insights from event logs Information Systems (IS)—is increasingly being used by a wide range organisations to improve operational efficiency. Despite extensive studies Critical Success Factors (CSFs) in related domains, CSF tailored process mining are limited. Moreover, these merely identify factors and do not provide essential details such as clear conceptual understanding success their interrelationships. Through multi-phased...
In most business processes, several activities need to be executed by human resources and cannot fully automated. To evaluate resource performance identify best practices as well opportunities for improvement, managers objective information about behaviors. Companies often use systems support their these record process execution in event logs. We present a framework analyzing evaluating behavior through mining such The provides (1) method extracting descriptive skills, utilization,...