Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Sequential PAttern mining using a bitmap representation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal pattern discovery for trends and transient effects: its application to patient records
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Direct Discriminative Pattern Mining for Effective Classification
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Heuristic Methods for Searching and Clustering Hierarchical Workflows
Computer Aided Systems Theory - EUROCAST 2009
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Trace alignment in process mining: opportunities for process diagnostics
BPM'10 Proceedings of the 8th international conference on Business process management
Mining closed discriminative dyadic sequential patterns
Proceedings of the 14th International Conference on Extending Database Technology
BPM'11 Proceedings of the 9th international conference on Business process management
Workflow clustering method based on process similarity
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Using Recommendation to Support Adaptive Clinical Pathways
Journal of Medical Systems
On mining clinical pathway patterns from medical behaviors
Artificial Intelligence in Medicine
SRII '12 Proceedings of the 2012 Annual SRII Global Conference
Getting a grasp on clinical pathway data: an approach based on process mining
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
Process mining in healthcare: data challenges when answering frequently posed questions
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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Clinical care pathway analysis is the process of discovering how clinical activities impact patients in their care journeys, and uses the discovered knowledge for various applications including the redesign and optimization of clinical pathways. We present an approach for mining clinical care pathways correlated with patient outcomes that involves a combination of clustering, process mining and frequent pattern mining. Our approach is implemented as a set of interactive tools in the business process insight (BPI) platform, a a collaborative software as a service platform, that provides an event-driven process-aware analytics toolset. After interactively utilizing the individual clustering, process mining, and frequent pattern mining capabilities in BPI, users can overlay frequent patterns, ranked according to their correlation with a particular patient outcome, on a mined model of the patient population with that outcome. We have tested our approach for mining care pathways correlated with outcomes on electronic medical record data obtained from a US based healthcare provider on congestive heart failure (CHF) patients. Experimental results show that the tools we have developed and implemented can provide new insights to facilitate the improvement of existing clinical care pathways.