QUT - Academic profiles - Dr Robert Andrews

Biography

Robert Andrews first joined QUT in 1990. During the period 1990-2001 he worked as an academic in the School of Information Systems, teaching mainly in relational database, and researching in the area of machine learning and explainable neural networks. He gained his PhD in this area in 2003 and spent the next 13 years as an IT consultant working in a variety of industry sectors including accounting, finance, and manufacturing. Robert re-joined the School of Information Systems' Business Process Management group in 2016 as a research fellow working on applying process mining techniques in the healthcare and insurance sectors, and in wildlife hazard management for Brisbane Airport Corporation. In 2019, Robert took a role as senior lecturer teaching information systems modelling techniques. He is currently a senior research fellow working with the BPM group and the Motor Accident Insurance Commission applying process mining techniques in the healthcare sector - specifically pre-hospital retrieval and transport, patient journeys and outcomes following major trauma. This project aims to improve and standardise processes and information exchange at points of articulation between the emergency services and hospital system processes. Robert is also working with the Queensland Critical Care Network setting up a statewide ICU registry for blood-borne infections, and with QUT's Centre for Data Science modelling hospital capacity and case mix planning. Robert has a long-standing interest in process-data quality. He has collaborated with researchers around the world in this area, resulting in several highly cited publications, and has established the process data quality website (processdataquality.com) as a resource for other researchers interested in this emerging research area.

+61 7 3138 0193

r.andrews@qut.edu.au

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QUT alumni

Personal details

Positions

Senior Research Fellow
Faculty of Science,
School of Information Systems

Keywords

Process mining, Data mining, Business intelligence

Research field

Information systems, Strategy, management and organisational behaviour

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020

Qualifications

PhD (Queensland University of Technology)
MInfoTech (Queensland University of Technology)
GDComComp (Queensland University of Technology)
PHD (Queensland University of Technology)
DipT (Kelvin Grove C.A.E)

Experience

2020 - present Research Fellow (School of Information Systems) Application of process mining and data science techniques in

healthcare (Queensland Ambulance Service, Retrieval Services Queensland, Queensland Health, Princess Alexandra Hospital, Queensland Children's Hospital, Mater Hospital)
blood-borne infection statewide ICU registry
hospital capacity modelling and case mix planning

2019 - Senior Lecturer - QUT (School of Information Systems)

teaching - Modelling Techniques for Information Systems
research - process data quality

2016 - 2018 Research Fellow (School of Information Systems) Application of process mining and data science techniques in

healthcare (St Andrews' War Memorial Hospital, Princess Alexandra Hospital, Queensland Ambulance Service, Retrieval Services Queensland, Queensland Health)
CTP insurance (Motor Accident Insurance Commission)
wildlife hazard risk management (Brisbane Airport Corporation)
process data quality

2001 - 2016 - IT Consultant (Access Management Consultants, MYP Corporation)

System analysis & design
Requirements specifications
Tender management
ERP System/supplier selection & implementation
Forensic computing
Data mining – intelligent systems
Software system verification
Systems audit
Web development
Application development (including mobile applications)

1991 - 2001 - Lecturer - QUT (School of Information Systems)

teaching - relational database, ABAP programming, office automation
research - artificial neural networks and rule-based explanation mechanisms

1990 - COBOL Programmer - SciTech (State Government Computing)

Publications

Andrews, R., van Dun, C., Wynn, M., Kratsch, W., Roglinger, M. & ter Hofstede, A. (2020). Quality-informed semi-automated event log generation for process mining. Decision Support Systems, 132. https://eprints.qut.edu.au/180260
Emamjome, F., Andrews, R. & ter Hofstede, A. (2019). A case study lens on process mining in practice. On the Move to Meaningful Internet Systems: OTM 2019 Conferences: Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Proceedings (Lecture Notes in Computer Science, Volume 11877), 127–145. https://eprints.qut.edu.au/133712
Andrews, R., Wynn, M., ter Hofstede, A., Xu, J., Horton, K., Taylor, P. & Plunkett-Cole, S. (2018). Exposing impediments to insurance claims processing: Compulsory third party insurance in Queensland. In J. Mendling & J. vom Brocke (Eds.), Business process management cases: Digital innovation and business transformation in practice (Management for Professionals) (pp. 275–290). Springer. https://eprints.qut.edu.au/104812
Andrews, R., Suriadi, S., Wynn, M. & ter Hofstede, A. (2018). Healthcare process analysis. In C. Combi, G. Pozzi & P. Veltri (Eds.), Process modeling and management for healthcare (Chapman and Hall/CRC Healthcare Informatics Series) (pp. 165–194). CRC Press. https://eprints.qut.edu.au/104813
Andrews, R., Suriadi, S., Wynn, M., ter Hofstede, A. & Rothwell, S. (2018). Improving patient flows at St. Andrew's War Memorial Hospital's emergency department through process mining. In J. Mendling & J. vom Brocke (Eds.), Business process management cases: Digital innovation and business transformation in practice (Management for Professionals) (pp. 311–333). Springer. https://eprints.qut.edu.au/104811
Andrews, R. & Wynn, M. (2017). Shelf time analysis in CTP insurance claims processing. Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Revised Selected Papers (Lecture Notes in Artificial Intelligence, Volume 10526), 151–162. https://eprints.qut.edu.au/104246
Andrews, R. & Geva, S. (2002). Rule Extraction from Local Cluster Neural Nets. Neurocomputing, 47, 1–20. https://eprints.qut.edu.au/9872
Andrews, R., Diederich, J. & Tickle, A. (1995). Survey And Critique Of Techniques For Extracting Rules From Trained Artifical Neural Networks. Knowledge-Based Systems, 373–390.

QUT ePrints

For more publications by Robert, explore their research in QUT ePrints (our digital repository).

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2024

Banham, A., ter Hofstede, A., Leemans, S. J. J., Mannhardt, F., Andrews, R. & Wynn, M. T. (2024). Comparing Conformance Checking for Decision Mining: An Axiomatic Approach. IEEE Access, 12, 60276–60298. https://eprints.qut.edu.au/248612
Ueck, H., Andrews, R., Wynn, M. T. & Leemans, S. J. J. (2024). Differentially Private Event Logs with Case Attributes. Process Mining Workshops, Springer. https://eprints.qut.edu.au/255404

2023

Goel, K., Sadeghianasl, S., Andrews, R., ter Hofstede, A., Wynn, M. T., Kapugama Geeganage, D., Leemans, S. J. J., McGree, J., Eden, R., Staib, A., Eley, R. & Donovan, R. (2023). Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023, 3235–3244. University of Hawai'i at Manoa. https://eprints.qut.edu.au/237500
Eden, R., Syed, R., Makasi, T., Andrews, R., ter Hofstede, A., Wynn, M. T., Donovan, R., Eley, R. & Staib, A. (2023). Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos framework. Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023, 3035–3044. University of Hawai'i at Manoa. https://eprints.qut.edu.au/238989
Syed, R., Eden, R., Makasi, T., Chukwudi, I., Mamudu, A., Kamalpour, M., Kapugama Geeganage, D., Sadeghianasl, S., Leemans, S. J. J., Goel, K., Andrews, R., Wynn, M. T., ter Hofstede, A. & Myers, T. (2023). Digital Health Data Quality Issues: Systematic Review. Journal of Medical Internet Research, Article e42615, 25. https://eprints.qut.edu.au/239040
Ter Hofstede, A. H. M., Koschmider, A., Marrella, A., Andrews, R., Fischer, D. A., Sadeghianasl, S., Wynn, M. T., Comuzzi, M., De Weerdt, J., Goel, K., Martin, N. & Soffer, P. (2023). Process-Data Quality: The True Frontier of Process Mining. Journal of Data and Information Quality, Article 29, 15(3). https://eprints.qut.edu.au/244538

2022

Andrews, R., Emamjome, F., ter Hofstede, A. & Reijers, H. (2022). Root-cause analysis of process-data quality problems. Journal of Business Analytics, 5(1), 51–75. https://eprints.qut.edu.au/211255
Banham, A., Leemans, S., Wynn, M. T. & Andrews, R. (2022). xPM: A Framework for Process Mining with Exogenous Data. Process Mining Workshops, 85–97. Springer. https://eprints.qut.edu.au/227174
Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E., Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D., Amantea, I. A., Andrews, R., Arias, M., Beerepoot, I., Benevento, E., Burattin, A., Capurro, D., Carmona, J., Comuzzi, M., Dalmas, B., de la Fuente, R., Di Francescomarino, C., Di Ciccio, C., Gatta, R., Ghidini, C., Gonzalez-Lopez, F., Ibanez-Sanchez, G., Klasky, H. B., Prima Kurniati, A., Lu, X., Mannhardt, F., Mans, R., Marcos, M., Medeiros de Carvalho, R., Pegoraro, M., Poon, S. K., Pufahl, L., Reijers, H. A., Remy, S., Rinderle-Ma, S., Sacchi, L., Seoane, F., Song, M., Stefanini, A., Sulis, E., ter Hofstede, A. H. M., Toussaint, P. J., Traver, V., Valero-Ramon, Z., van de Weerd, I., van der Aalst, W. M. P., Vanwersch, R., Weske, M., Wynn, M. T. & Zerbato, F. (2022). Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics, Article 103994, 127. https://eprints.qut.edu.au/228563
Andrews, R., Goel, K., Corry, P., Burdett, R., Wynn, M. T. & Callow, D. (2022). Process Data Analytics for Hospital Case-mix Planning. Journal of Biomedical Informatics, Article 104056, 129. https://eprints.qut.edu.au/228885
Fischer, D., Goel, K., Andrews, R., van Dun, C., Wynn, M. T. & Röglinger, M. (2022). Towards Interactive Event Log Forensics: Detecting and Quantifying Timestamp Imperfections. Information Systems, Article 102039, 109. https://eprints.qut.edu.au/229352
Banham, A., Leemans, S. J. J., Wynn, M. T., Andrews, R., Laupland, K. & Shinners, L. (2022). xPM: Enhancing Exogenous Data Visibility. Artificial Intelligence in Medicine, Article 102409, 133. https://eprints.qut.edu.au/235412
Andrews, R., Bevrani, B., Colin, B., Wynn, M. T., ter Hofstede, A. & Ring, J. (2022). Three novel bird strike likelihood modelling techniques: The case of Brisbane Airport, Australia. PLoS ONE, Article e0277794, 17(12). https://eprints.qut.edu.au/236541

2021

Poppe, E., Pika, A., Wynn, M. T., Eden, R., Andrews, R. & ter Hofstede, A. (2021). Extracting Best-Practice Using Mixed-Methods: Insights and Recommendations from a Case Study in Insurance Claims Processing. Business and Information Systems Engineering, 63(6), 637–651. https://eprints.qut.edu.au/209572
Andrews, R., Wynn, M. T., Vallmuur, K., Elcock, M., Rashford, S., Bosley, E. & ter Hofstede, A. (2021). Trauma by-pass guideline: A data-driven conformance analysis for road trauma cases in Queensland. EMA - Emergency Medicine Australasia, 33(6), 1059–1065. https://eprints.qut.edu.au/210836

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/r.andrews

Dr Robert Andrews