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Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals

Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals ANDREW PARTINGTON, University of Adelaide, School of Population Health MOE WYNN, SURIADI SURIADI, and CHUN OUYANG, Queensland University of Technology, Information Systems School JONATHAN KARNON, University of Adelaide, School of Population Health Business process analysis and process mining, particularly within the health care domain, remain underutilized. Applied research that employs such techniques to routinely collected health care data enables stakeholders to empirically investigate care as it is delivered by different health providers. However, crossorganizational mining and the comparative analysis of processes present a set of unique challenges in terms of ensuring population and activity comparability, visualizing the mined models, and interpreting the results. Without addressing these issues, health providers will find it difficult to use process mining insights, and the potential benefits of evidence-based process improvement within health will remain unrealized. In this article, we present a brief introduction on the nature of health care processes, a review of process mining in health literature, and a case study conducted to explore and learn how health care data and crossorganizational comparisons with process-mining techniques may be approached. The case study applies process-mining techniques to administrative and clinical http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Management Information Systems (TMIS) Association for Computing Machinery

Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISSN
2158-656X
DOI
10.1145/2629446
Publisher site
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Abstract

Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals ANDREW PARTINGTON, University of Adelaide, School of Population Health MOE WYNN, SURIADI SURIADI, and CHUN OUYANG, Queensland University of Technology, Information Systems School JONATHAN KARNON, University of Adelaide, School of Population Health Business process analysis and process mining, particularly within the health care domain, remain underutilized. Applied research that employs such techniques to routinely collected health care data enables stakeholders to empirically investigate care as it is delivered by different health providers. However, crossorganizational mining and the comparative analysis of processes present a set of unique challenges in terms of ensuring population and activity comparability, visualizing the mined models, and interpreting the results. Without addressing these issues, health providers will find it difficult to use process mining insights, and the potential benefits of evidence-based process improvement within health will remain unrealized. In this article, we present a brief introduction on the nature of health care processes, a review of process mining in health literature, and a case study conducted to explore and learn how health care data and crossorganizational comparisons with process-mining techniques may be approached. The case study applies process-mining techniques to administrative and clinical

Journal

ACM Transactions on Management Information Systems (TMIS) – Association for Computing Machinery

Published: Jan 23, 2015

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